Description:FORM 2
THE PATENTS ACT, 1970 (39 OF 1970)
and
THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
(See section 10 rule 13)

MULTI-PARAMETER RESONANCE-BASED QUANTUM COMMUNICATION
SYSTEM AND METHOD FOR SECURE, LOW-LATENCY DATA TRANSFER
ACROSS TERRESTRIAL, AEROSPACE, AND COSMIC ENVIRONMENTS
WITH VIRTUAL ENTANGLEMENT AT BIRTH

TECHSAPPHIRE, a company organized and incorporated under the laws of India, of House No 1322, Sector 4, Panchkula, Panchkula, Haryana, 134109, India

The following specification particularly describes the invention and the manner in which it is to be performed.

TECHNICAL FIELD
Embodiments of the present disclosure generally relate to communication systems. Particularly, the present disclosure relates to a multi-parameter resonance-based quantum communication system and method that leverages deterministic, observable parameters across classical, material, atomic, and quantum scales to enable secure, low-latency data transfer. The system supports post-quantum security for terrestrial networks, and can be applied in emissions control (EMCON) and low probability of intercept/detection (LPI/LPD) scenarios for aerospace users, and bandwidth-efficient interplanetary/cosmic-scale communications by minimizing transmitted data through local message synthesis.
BACKGROUND
The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as an admission of prior art.
Conventional communication systems transmit full data payloads, leading to high latency, bandwidth consumption, and vulnerability to eavesdropping, including quantum attacks (e.g., via Shor's or Grover's algorithms). Quantum key distribution (QKD) leverages entanglement for security but requires complex infrastructure and substantial data exchange, limiting scalability in noisy environments like space or for low-compute devices. These systems do not exploit pre-synchronized parameters to minimize data transfer or design communication languages that maximize message combinations, reducing their expressive power and efficiency.
Existing solutions lack production-time parameter determinism, leaving low-compute devices (e.g., IoT sensors) vulnerable to quantum brute-force attacks, as they must support a wide variety of states. They also fail to integrate global (e.g., satellite positions, gravitational fields) and local (e.g., time, device-specific states) parameters for versatile applications. Furthermore, they do not employ parameterized languages to scale message combinations, limiting communication efficiency. Regulatory standards for secure data transfer in distributed systems further challenge conventional approaches, which are not optimized for advanced quantum-secure tasks or minimal data paradigms.
The invention addresses the challenge of secure, low-latency communication by leveraging resonance, akin to a musician concert where a conductor's minimal gesture (controlled parameter) prompts synchronized music from pre-tuned orchestras (shared parameters). Similarly, quantum states may appear unobservable or random, like viewing Earth from the Moon as low-resolution pixels, where local parameters (e.g., gravity) influence changes but are not fully resolvable with current technology. The language engine operates like cloned instances of a generative model, where a minimal prompt (completion input) generates an amplified output (full message) based on shared weights derived from observed parameters, ensuring synchronized results across devices. For example, this is similar to cloned large language models producing similar outputs from the same prompt. This system leverages deterministic observables across classical, material, atomic, and quantum scales to enable efficient, secure communication without transmitting full payloads.
Thus, there exists a need for a technical solution that overcomes these limitations. More specifically, there is a need for a system and method that leverages a parameterized communication language derived from resonant parameters to enable secure, low-latency communication, resistant to quantum attacks, with minimal data transfer across diverse environments.
SUMMARY
This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
An aspect of the present disclosure relates to a resonance-based quantum communication system. The system comprises a first communication device and a second communication device, each comprising a processing unit, a memory storage, and a language engine. The processing unit is configured to: synchronize a set of resonant parameters with the second communication device, wherein the set of resonant parameters includes one or more parameters, which may include an observable quantum parameter (e.g., spin, phase) and one controllable parameter (e.g., phase shift, bit toggle), determined at device production time (referred to as "birth") or at the start of communication between processes for deterministic operation and non-deterministic security against quantum attacks; design a communication language based on combinations of the resonant parameters to maximize message permutations; observe a state of the set of resonant parameters to compute a message fragment using the language; encode a completion input using the controllable parameter; encrypt the completion input using a quantum-resistant encryption scheme (e.g., AES-256-GCM with nonce derived from window + counter + SID); append a checksum and an authentication tag (e.g., HMAC_{K_s}(SID||s||i||g||ctr)) to the completion input for error detection and integrity; transmit a minimal data packet comprising the encrypted completion input, the checksum, and the authentication tag to the second communication device; and decode a full message by combining the observed state with a received completion input, wherein the decoding leverages the parameterized language and resonance of the set of parameters to ensure security, low latency, and expressive communication across terrestrial, aerospace, space, land, global, or local environments. The minimal data packet is smaller than full encrypted payloads in standard encryption methods, reducing bandwidth usage.
In an exemplary aspect, the set of resonant parameters includes at least one global parameter (e.g., satellite position, gravitational influence, pulsar timing, celestial ephemerides) for space or wide-area applications, and at least one local parameter (e.g., time, device-specific state like temperature or magnetic field) for land-based or constrained environments, wherein the parameters are pre-synchronized at initialization and determined at production time or session start. Parameters exhibit frequent observable and predictable changes in state, enabling mapping to current and future states via the language engine for message synthesis.
In an exemplary aspect, the language engine is configured to generate a combinatorial message set based on the number of observable parameter states, wherein the number of message combinations scales exponentially with observation precision and parameter count (e.g., time to milliseconds, satellite position to degrees). The language engine assigns preassigned dictionaries to parameters, including cosmic ones, allowing small data inputs to generate complete outputs by observing current states and applying corrections mapped to current and future parameter states.
In an exemplary aspect, the processing unit is further configured to integrate a configurable timer to manage the lifecycle of the communication session, wherein the session remains active for a predefined period based on system demand and query frequency. In an exemplary aspect, the system further comprises a communication interface for transmitting the minimal data packet over a classical channel, such as fiber optics for land applications or satellite links for space environments, or optionally over a quantum channel.
In an exemplary aspect, the production-time or session-start determination of resonant parameters ensures non-deterministic security, requiring super brute-force efforts by quantum computers to decode without exact parameter replication, protecting low-compute devices.
Another aspect of the present disclosure relates to a method for resonance-based quantum communication. The method comprises: synchronizing a set of resonant parameters between a first communication device and a second communication device, wherein the set includes one or more parameters, which may include an observable quantum parameter and one controllable parameter, determined at production time or session start; designing a communication language based on combinations of the resonant parameters to maximize message permutations; observing, by the first communication device, a state of the set of resonant parameters to compute a message fragment using the communication language; encoding, by the first communication device, a completion input using the controllable parameter; encrypting the completion input using a quantum-resistant encryption scheme (e.g., AES-256-GCM with nonce derived from window + counter + SID); appending a checksum and an authentication tag to the completion input; transmitting a minimal data packet comprising the encrypted completion input, the checksum, and the authentication tag to the second communication device; and decoding, by the second communication device, a full message by combining the observed state with the received completion input, wherein the decoding leverages the parameterized language and resonance of the set of parameters.
In an exemplary aspect, the method further comprises storing the set of resonant parameters, communication language dictionary, and message fragments in a memory storage for real-time access during decoding.
Yet another aspect of the present disclosure relates to a non-transitory computer-readable storage medium storing instructions for resonance-based quantum communication, the instructions causing a processing unit to perform the steps of the method described above.
OBJECTS OF THE DISCLOSURE
Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies, are listed below:
• To provide a system and method for resonance-based quantum communication using a parameterized communication language derived from synchronized parameters across space, land, global, and local environments.
• To enable ultra-secure communication by leveraging quantum-scale observations without altering quantum states, resistant to quantum attacks through production-time or session-start parameter determinism.
• To maximize message permutations through a parameter-based communication language, increasing expressive power with minimal data transfer, enabling devices to communicate more complex messages efficiently.
• To minimize data transmission for low-latency communication, revolutionizing traditional paradigms by offloading computation to resonant parameters and language mappings.
• To enhance scalability for low-compute devices, allowing secure operation against super brute-force quantum attacks without requiring wide state variety.
• To provide tamper-evident security through detection of quantum state disturbances in diverse applications.
• To optimize resource utilization by transmitting minimal data packets, reducing operational costs in high-demand environments like space or IoT.
• To support integration with existing infrastructure, such as satellite networks for global communication or fiber optics for local land-based systems, for practical deployment.
• To incorporate virtual clock calibration with birth-assigned offsets for synchronized message synthesis.
• To simulate future parameter states for dynamic message variability and pre-scheduling.
• To utilize deterministic observables as shared states for resonance across scales.
• To treat cosmic parameters as public salt in key derivation for latency reduction.
• To apply error correction specifically for shared observables, enhancing robustness.
• To define "quantum" as a superset encompassing classical, material, atomic, and quantum scales.
BRIEF DESCRIPTION OF DRAWINGS
The accompanying drawings, incorporated herein, constitute a part of this disclosure. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate components using block diagrams and may not represent internal circuitry. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components or circuitry commonly used to implement such components. Although exemplary connections are shown, other connections may be possible without departing from the scope of the invention.
• FIG. 1: Block diagram illustrating the resonance-based quantum communication system [100] with devices [102, 104], channel [106], and components [108–120], highlighting resonant parameters [122] and virtual entanglement at birth. Includes a small “Virtual Clocks” box under [122]/[118] with: b_j, r_j → s_j(t_a) = floor(256*(((t_a+b_j)*r_j)%window_ms)/window_ms). Also includes an example callout: “Offsets (e.g., +0.1s, −0.2s, +0.3s, −0.4s) ⇒ 20k-word dictionary”. Includes the actual virtual-clock formula beside the box (micro-text), e.g.: s_j(t_a) = floor(256 * (((t_a + b_j) * r_j) mod window_ms) / window_ms). (FIG. 1 bottom-right)
• FIG. 2: Flow diagram of the method [200] from parameter synchronization to message decoding, emphasizing observation of states and application of corrections. Includes “Optional FEC: RS/LDPC” badge next to the “Encode + Append checksum + Auth tag” step. (FIG. 2 bottom-right)
• FIG. 3: Device architecture with resonance engine [118], language engine [116], and timer module [120], showing integration of parameter masking and synthesis. Includes Auth Tag = HMAC/KMAC(K_s, SID || s || i || g || ctr). Inputs from K_s (HKDF), SID [148], Replay Counter [146]. Includes a micro-note next to ECC: “Gray coding for temp/clock bins; ±1 °C tolerance”. Standardized horizontal bit-string for mask vector M_s everywhere. Includes the actual virtual-clock formula beside the box (micro-text), e.g.: s_j(t_a) = floor(256 * (((t_a + b_j) * r_j) mod window_ms) / window_ms). (FIG. 3 bottom-right)
• FIG. 4: Illustration of keyed permutation pi_s and state-index mapping R_s, with note "N >= 20k states; per-window reordering" for dynamic variability. Includes “Auto-shuffle: pi_w = Permute(orderSeed XOR w)” and a small poid = hash(pi_w) box. Includes a small line under poid: “poid = hash(π_w) (verification only; seed not sent)”. (FIG. 4 bottom-right)
• FIG. 5: Mask vector M_s and shared deterministic observables (e.g., city temperature/time) illustrating parameter selection (horizontal bit-string), with local shared-state callout and edit affordance. Includes a side callout: “Shared local observable (e.g., 25 °C ±1 °C bin, city-wide) ⇒ same state across devices.” (FIG. 5 bottom-right)
• FIG. 6: Self-constructing message timeline across windows, showing only (i|g)+tag transmitted, with mapping to current and future states. Includes three small badges at the bottom: “Terrestrial: ±Δt_1”, “Aerospace: ±Δt_2 (EMCON)”, “Space: ±Δt_3”. Includes badge next to the packet: “Optional FEC: RS/LDPC”. Includes label field bit-lengths/examples to remove ambiguity (e.g., sid(64), mid(128), poid(128), win(32), tag(128); or “implementation-dependent”). A tiny hex example under the packet. Includes a tiny note: “tag = HMAC/KMAC; cs = checksum16 (optional).” (FIG. 6 bottom-right)
• FIG. 7: Terrestrial embodiment for IoT/edge with PUF-rooted keys, demonstrating low-compute integration using digital parameters. (FIG. 7 bottom-right)
• FIG. 8: Cosmic embodiment using ephemerides/pulsar bins to form D_s, illustrating dictionary assignment to cosmic parameters. Includes a KDF arrow with caption: K_s = HKDF(K_master, "RPLC" || SID || s || D_s) and a tag “Cosmic D_s = public salt (latency benefit)”. (FIG. 8 bottom-right)
• FIG. 9: Aerospace embodiment with EMCON and LPI/LPD measures, including Replay Counter [146] callout and bolded "Re-key on anomaly" arrow for security. Includes “Short burst (EMCON/LPI/LPD)” label by the RF icon, with the label a touch larger for readability at print scale. (FIG. 9 bottom-right)
• FIG. 10: Scheduling/planning tool [150] outputting future windows and tokens for target phrases, with sample rows (e.g., Timestamp: 2025-08-22 12:00:00, s=1234, i=5, g=2, bits=0xA3B4, note="valid"; Timestamp: 2025-08-22 12:05:00, s=1235, i=7, g=1, bits=0xC5D6, note="valid"). Includes a footnote line under the table: “Same input → different tokens across w due to evolving D_s, pi_w”. (FIG. 10 bottom-right)
LIST OF REFERENCE NUMERALS
[100] System; [102] Device; [104] Peer Device; [106] Channel; [108] Processing Unit; [110] Memory; [112] Optional Quantum Observation Module; [114] Communication Interface; [116] Language Engine; [118] Resonance Engine; [120] Timer; [122] Resonant Parameters; [124] Birth/PUF; [125] Fuzzy Extractor; [126] Mask Generator; [128] Parameter Registry; [130] Template Library; [132] HKDF/KDF; [134] CSPRNG/Permutation; [136] Selector/Composer; [138] Descriptor Builder; [140] Error Correction/ECC; [142] Secure Sketch; [144] Keyed Extractor/Universal Hash; [146] Replay Counter; [148] Session Identifier (SID); [150] Planner/Scheduler.
Example scale: n=20–50, states=256 → 256^20 ≈ 2^160; dict ≥ 20k words.
obs = observation step; π_w = window-dependent permutation; M_s = mask vector (horizontal bit-string); orderSeed = seed for permutation; FEC = forward error correction.
DETAILED DESCRIPTION
In the following description, specific details are set forth to provide a thorough understanding of embodiments of the present disclosure. However, embodiments may be practiced without these specific details. Several features described hereafter may be used independently or in combination. An individual feature may not address all problems discussed above or may address only some problems. The word “exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect described as “exemplary” is not necessarily preferred or advantageous over other aspects, nor does it preclude equivalent structures known to those skilled in the art. Terms like “includes,” “has,” and “contains” are inclusive, similar to “comprising,” without precluding additional elements.
As used herein, a “processing unit” includes one or more processors, such as general-purpose processors, digital signal processors, microcontrollers, or application-specific integrated circuits, capable of performing signal coding, data processing, and input/output processing to implement the features of the present disclosure. As used herein, a “communication device” refers to any electrical, electronic, or computing device, including but not limited to satellites, mobile phones, laptops, IoT sensors, or quantum communication nodes, capable of implementing the features of the present disclosure. As used herein, “memory storage” refers to a machine-readable medium, such as ROM, RAM, magnetic disk storage, optical storage, or flash memory devices, storing data required by the system, including resonant parameters, language dictionaries, and message fragments.
As used herein, “resonant parameters” refer to any physical or digital parameters whose states are synchronized at production time (birth) or at the start of communication between two remote or local processes and evolve predictably in a deterministic manner for legitimate synchronized devices or processes, but appear non-deterministic to unauthorized observers. Physical parameters may include observable quantities such as temperature, magnetic field, gravitational influence, pulsar timing, celestial ephemerides, or optionally quantum states (e.g., spin or phase). Digital parameters may include virtual clocks, pseudorandom generators seeded at birth or session start, or software-defined states (e.g., hashed timestamps). Clocks are a mere example of such parameters, as any entity with frequent observable and predictable changes in state can be utilized. States are quantized into discrete levels (e.g., 256 states per parameter for 8-bit resolution) to enable combinatorial mapping. Parameters are not required to be complex or difficult to observe; instead, security and expressiveness scale with the number of parameters (e.g., 20-50 parameters) and state granularity (e.g., 256 states each, yielding 256^20 ≈ 2^160 possible combinations, rendering brute-force attacks infeasible with current computing capabilities, as searching 2^160 states exceeds the capacity of even quantum computers with Grover's algorithm, which reduces to sqrt(2^160) = 2^80 operations, still impractical). This allows integration with existing devices without high-tech hardware, as digital parameters can be implemented via software on standard microcontrollers. "Quantum" is defined as a superset encompassing classical (e.g., clocks, ephemerides), material (e.g., temperature, decay), atomic (e.g., spin), and quantum (e.g., entangled qubits) observables. While 'quantum' encompasses classical to quantum scales, core embodiments rely on classical/digital parameters; quantum-scale observations are optional enhancements for specific applications, and do not require quantum carriers or state distribution.
As used herein, a “language engine” refers to a module that designs a communication language by mapping combinations of resonant parameter states to a dictionary of message fragments, maximizing the number of expressible messages through combinatorial permutations. The language engine assigns preassigned dictionaries to parameters, including cosmic ones, allowing small data inputs to generate complete outputs by observing current states and applying corrections mapped to current and future parameter states. As used herein, a “quantum observation module” refers to hardware or software capable of observing quantum states (e.g., photon polarization, spin, phase) without causing full state collapse, such as through weak measurements or interferometry. In embodiments where quantum parameters are utilized, the quantum observation module may include hardware or software for weak measurements (e.g., via interferometry setups as known in the art), but is optional; classical/digital parameters suffice for core operation without quantum hardware.
As used herein, “virtually entangled at birth” or “entangle” (as used herein): a classical birth-time or session-start initialization in which endpoints are provisioned with shared state (e.g., master key/seed and parameter offsets/rates) so they derive the same per-window permutations and state functions without exchanging them at runtime. It does not require quantum carriers, qubits, or Bell-inequality correlations.
The present disclosure addresses limitations in conventional communication systems by providing a resonance-based quantum communication system and method with a parameterized communication language. Existing solutions suffer from high latency, bandwidth inefficiency, and vulnerability to quantum attacks, particularly for low-compute devices. The present invention leverages pre-synchronized resonant parameters, determined at production time or session start, to create a language that maximizes message combinations, enabling secure, low-latency communication with minimal data transfer. This protects low-compute devices (e.g., IoT sensors, satellites) against super brute-force quantum attacks, as parameters appear non-deterministic to attackers, requiring impractical computational resources to decode. The system supports space (e.g., satellite networks with low noise), land (e.g., IoT networks), global (e.g., constellation-based), and local (e.g., device-to-device) applications, and may be used by aerospace users for EMCON and LPI/LPD scenarios, revolutionizing communication paradigms by enabling devices to communicate more complex messages efficiently.
The system can be integrated into existing projects using virtual parameters, enabling high-end computers in private or public networks to communicate with minimal data transfer. This architecture is resource-intensive, requiring systems capable of on-the-fly decoding with low latency to maintain performance. On-the-fly decoding requires computational resources based on user usage; for communications requiring few parameters, even current mobile device hardware can achieve low-latency message synthesis, as shown in FIG. 3 and FIG. 6.
Virtual Clock Calibration Specificity
At production time (birth) or at the start of communication between two processes, devices or processes are provisioned with virtual clocks calibrated with unique offsets (e.g., +0.123 s, -0.456 s) derived from PUF measurements or seeds, or shared securely via a handshake. These offsets ensure that only identical devices or processes produce synchronized states for decoding. For example, 30 virtual clocks (e.g., London time, Indian time) with birth-calibrated offsets map to a dictionary of 30 words or more, enabling shared resonance. This supports the "same clocks" requirement, where deterministic observables like temperature produce identical states for observers in the same context (e.g., a city at 25°C ±1°C binned). For scalability, four clocks with offsets (+0.1 s, -0.2 s, +0.3 s, -0.4 s) and 100 bins each yield 100^4 = 10^8 possible states, mapped to a 20,000-word dictionary via keyed permutation pi_s. Clocks are an example; any parameter with frequent, predictable state changes (e.g., cosmic ephemerides) can be calibrated similarly.
The synchronization at session start for existing hardware involves a secure handshake, such as using ML-KEM (Kyber) key encapsulation mechanism to derive a shared key, which is then used to encrypt the initial parameters and states (e.g., via AES-256 encryption). This allows retrofitting existing chipsets or hardware without embedding at manufacturing, as the processes can "birth" the shared state dynamically and follow the same resonance-based communication thereafter. Keys are not changed for initial synchronization, but parameters and states are shared securely.
Dynamic Message Variability
The planner/scheduler [150] simulates future states using known models (e.g., ephemeris equations, clock drift polynomials) to pre-plan messages. Identical inputs yield different messages across windows due to evolving D_s and pi_s, ensuring security through time-dependent mappings. Dynamic message variability ensures that identical completion inputs (i|g) produce uncorrelated messages across windows, thwarting correlation attacks by leveraging evolving D_s and pi_s. The language engine maps corrections to current and future states, enabling predictive synthesis.
Deterministic Observables as Shared States
Deterministic observables (e.g., temperature, decay rates, gravitational pull, pulsar timing) produce shared states for synchronized synthesis. For instance, temperature binned to 1°C maps to "stable" if matched across devices, akin to universal resonance. Cosmic parameters can be assigned dictionaries via the language engine, where observed states plus minimal corrections generate full outputs. Shared deterministic observable (e.g., 25 °C city bin ±1 °C) → same local state across devices.
Cosmic Parameters as Public Salt
Cosmic parameters (e.g., Sun longitude binned to 12°) are public salt in key derivation (K_s = HKDF(K_master, "RPLC" || SID || s || D_s)), reducing latency by minimizing transmitted data. Security focuses on K_master; no hacking concern in cosmic comms beyond latency. The language engine enables dictionary assignment to these parameters for amplified message generation.
Error Correction for Shared Observables
Error correction includes Gray coding for temperature bins (±1°C tolerance), BCH/LDPC for drift, and secure sketches for reconciliation without revealing states.
Transport Spec & Math Notes Integration
The mathematical framework for encoding, decoding, and bandwidth savings is preserved from the original design, ensuring consistency with prior implementations. The system transmits arbitrary ASCII bytes (0–255) using a compact “seed + corrections” packet across a system of 20-50 resonant parameters (referred to as “clocks” for simplicity, though any observable with predictable state changes applies). If sender and receiver share the same mapping of characters to buckets (Mapping-ID), the same permutation that maps buckets to parameters (Order-ID), and an aligned time anchor, the receiver reconstructs the exact message. Otherwise, decoding is refused with a precise reason (expired, map mismatch, order mismatch, auth fail). With 20 parameters at 256 states each, the system yields 256^20 ≈ 2^160 possible state combinations, rendering brute-force attacks computationally infeasible.
Two transport modes:
• Static — no expiry; anchor time equals send timestamp.
• Time-bound — configurable windows (e.g., 3-second default); packets are valid only within their window; automatic broadcast every window. Users can configure window_ms (e.g., 1s to 10s) to balance latency and security, enabling tailored performance for IoT, satellite, or aerospace applications.
Notation
• Sigma = {0..255} : ASCII character set (256 values)
• p_0..p_{n-1} : n resonant parameters (e.g., n=20-50, logical buckets and physical/digital labels)
• dict[p_i] : List of characters assigned to bucket p_i; length L_i
• pi : Permutation of {0..n-1}: bucket index → parameter index
• pi^{-1} : Inverse permutation
• mid : Mapping-ID = hash(JSON(dict))
• poid : Order-ID = hash(pi)
• w : Window number = floor(t / window_ms) (e.g., window_ms=3000)
• t_a : Anchor time used for state computation
• s_j(t_a) : Quantized state of parameter p_j at anchor t_a (0..255 for 8-bit, or configurable)
Mapping & Permutation Mapping: Shuffle Sigma uniformly and distribute in round-robin into n buckets p_0..p_{n-1}. Each ASCII char appears exactly once in exactly one bucket. Permutation pi (parameter order seed): Shuffles which parameter carries each dictionary bucket, e.g., using Fisher-Yates shuffle with a PRP like AES in counter mode for secure random indices. We send the Order-ID (hash of pi) to verify order, not the raw seed. Shuffle is treated as an observable parameter itself, reset on-demand per window with random dictionary assignment for data generation. The shuffle (pi) is treated as an observable parameter, with states derived from hash(K_master || w), contributing to the state vector s for message synthesis. Auto-shuffle (optional): When enabled, pi depends on the current window w using pi = Permute(orderSeed XOR w).
Windows & Anchor
• w = floor(t / window_ms)
• t_a = t_send (static); t_a = window_ms * w + (window_ms / 2) (time-bound)
Parameter State Function Each parameter p_j has a birth offset b_j (ms) and a rate multiplier r_j ≈ 1. The quantized state is: s_j(t_a) = floor( 256 * ( ((t_a + b_j) * r_j) % window_ms ) / window_ms ) in {0..255}
Encoding (Seed + Corrections) Let M = m_0 m_1 … m_{len-1} be the full ASCII message. Choose seed length N ∈ {0,2,5}. For each non-seed character m_i (i >= N):
1. Find its bucket index iOrig and in-bucket index k (0 <= k < L_i).
2. Map to parameter via permutation: J = pi(iOrig).
3. Evaluate s_j at anchor: s = s_j(t_a).
4. Compute the sent index: idxSent = (k - s) % L_i
5. Emit correction tuple: pJ : idxSent : wght (with length, space, and symbol obfuscation for added security, e.g., variable-length encoding or padded symbols).
Decoding Given mid and poid match, and current window is valid for time-bound packets:
• Start with the seed characters (copied directly).
• For each correction pJ:idxSent/wgs: a. j = parse(pJ), iOrig = pi^{-1}(j) b. s = s_j(t_a) ; k = (idxSent + s) % L_i c. output char = dict[p_iOrig][k]
Packet Format (compact wire) sid=|mid=|poid=|win=|m=t|s|anc=|seed=|corr=<p:idx:w,...>|cs=|tag= Fields:
• mid = hash(JSON(dict))
• poid = hash(pi) (varies per window when auto-shuffle is enabled)
• win = floor(ts / window_ms)
• m ∈ {t=timebound, s=static}
• corr elements use permuted param labels pJ on the wire
Integrity & Lightweight Auth Auth tag (tag) = HMAC/KMAC(K_s, SID || s || i || g || ctr), binding the body (e.g., JSON({seed, corr})) to the window and session for cryptographic integrity. Checksum (cs) is optional for non-cryptographic error detection (e.g., 16-bit FNV-style over seed and corrections).
Modes & Expiry Static: t_a = t_send; packets never expire; decode uses that frozen anchor. Time-bound: t_a = window_ms * w + (window_ms / 2); packets expire outside their window. Resets (dictionary assignment, shuffle) occur on-demand per window for obfuscation.
Bandwidth Math Let: B_plain = total byte length of serialized packets; B_enc = B_plain + 28 (AES-256-GCM estimate: IV+tag); B_orig = original payload bytes. Savings_plain = 1 - B_plain / max(1, B_orig) ; Savings_enc = 1 - B_enc / max(1, B_orig) The minimal data packet (seed + corrections) is smaller than full encrypted payloads in standard methods (e.g., AES-encrypted full messages), reducing bandwidth.
Seed Choices & Privacy Seed length N ∈ {0,2,5}:
• N=0 sends no plaintext (best privacy).
• N=2 or 5 sends small plaintext prefix for demo readability.
Auto-shuffle by Window (Optional) When enabled, the permutation depends on the window: pi = Permute(orderSeed XOR w). Shuffle is an observable parameter, with states quantized and included in resonant set. Receivers recompute pi from the packet’s window and verify using poid; decoding then uses pi^{-1} for bucket lookup. Random dictionary assignment per window adds obfuscation; with length/space/symbol variations, brute-force difficulty reaches 2^160+ for 20 parameters at 256 states, infeasible today. On-demand window resets and obfuscation (variable-length encoding, random symbols) increase brute-force complexity beyond 2^160, as each window introduces new dictionary assignments and shuffle states, thwarting pattern analysis.
Worked Example (single character) Suppose 'A' lives in bucket p3 at index k=11, and the permutation maps bucket 3 to parameter 7 (J=pi(3)=7). At anchor t_a, let s_7(t_a) = 5. Sender computes: idxSent = (11 - 5) % L_3 = 6. Wire correction: p7:6/wgs. Receiver computes: k = (6 + 5) % L_3 = 11, then outputs dict[p3][11] = 'A'.
Packet Example sid=ab12cd34|mid=8f3a9b27|poid=41c22a77|win=123456|m=t|anc=3703681500|seed=VGg=|corr=p7:6:03af,p2:1:bb10|cs=1e0f|tag=5a4b8c9d11223344 Note: corr uses permuted labels (pJ). Receivers invert with pi^{-1} based on poid (and window if auto-shuffle is on).
Extension: Virtual Entanglement at Birth for Parameter Synchronization
The core innovation lies in virtual entanglement at birth, where resonant parameters are provisioned during device production or at session start to simulate entanglement without physical qubits. This "entangled parameters" approach ensures that paired devices or processes evolve states identically, enabling message synthesis from minimal inputs without revealing full payload. Virtual entanglement at birth synchronizes parameter states across devices or processes, enabling message synthesis without revealing full payload, akin to shared cryptographic seeds.
Virtual Entanglement Definition At birth or session start, parameters are "entangled" by assigning shared seeds, offsets, and evolution functions (e.g., s_j(t) = floor(256 * frac((t + b_j) * r_j))), where frac is the fractional part. For digital, PRNGs seeded with PUF-derived keys or session-shared keys mimic randomness. Entanglement is virtual: no real-time channel needed post-birth or post-session start, as determinism ensures synchronization. At session start, the shared state is established via a secure handshake using ML-KEM (Kyber) to derive a key for encrypting initial parameters and states (e.g., AES-256), allowing existing hardware to adopt the system without manufacturing changes.
Entangled Parameter Framework
1. Birth or Session-Start Provisioning: Devices or processes share K_master, b_j, r_j via secure channel or PUF at production, or via ML-KEM (Kyber) handshake at session start. Shuffle parameter (pi) is entangled: pi_w = hash(K_master || w), observed identically.
2. Observation & Synthesis: Observe s = [s_0(t_a), ..., s_{n-1}(t_a)]. Map to message via dict[reduce(s, op)] where op is a combining function (e.g., XOR or sum mod dict_size).
3. Corrections with Obfuscation: idxSent = (k - sum(s)) % L_i; obfuscate with variable length (e.g., pad to random 4-8 bytes), space/symbol variations (e.g., base64 vs hex).
4. Reset & Security: On-demand reset per window: re-seed dict = shuffle(Sigma, hash(K_master || w)). With 20 parameters (256 states), combinations = 256^20 ≈ 2^160; brute-force infeasible (Grover: 2^80 ops > 10^24 years at 10^18 ops/sec). Digital parameters allow legacy integration. Digital parameters, such as virtual clocks and PRNGs seeded at birth or session start, enable seamless integration with existing microcontrollers and mobile devices, broadening the system’s applicability to legacy IoT and consumer hardware.
Mathematical Example (Entangled States) Let entangled pair (p_j, p_k): s_k(t) = s_j(t) XOR c (constant c from birth or session start). Message fragment = dict[s_j + s_k mod dict_size]. Corrections adjust for deviations. This extends to chains: s_{m+1} = f(s_m), where f is birth-shared or session-shared (e.g., uniform distribution). But emphasis: entanglement enables message synthesis without revealing full payload.
For two parameters (n=2) with 4 states each, m=8 states form a transition matrix P where P_{ij} = 1/4 for uniform transitions. Starting from V_0 = [s_0(t_a), s_1(t_a)], the chain generates V_1 = V_0 * P, mapping to dict[hash(V_1) % dict_size]. While chains enable probabilistic state transitions for IoT efficiency, the keyed permutation (pi) is preferred for core security due to its deterministic mapping and lower computational overhead. Chains can enhance IoT, satellite, and aerospace applications by modeling parameter transitions, particularly in noisy environments requiring predictive synthesis.
IoT Benefits Low-compute IoT devices observe entangled parameters (e.g., virtual clocks + temperature) to synthesize messages, transmitting only corrections. Integrates with existing hardware via software updates or session-start handshakes.
Mitigations
• Replay attacks: Use Replay Counter [146] and SID [148].
• Anomalies: Re-key on disturbance (e.g., parameter mismatch > threshold).
• Noisy channels: FEC on tokens (Reed-Solomon/LDPC).
• Compromise: Revoke SIDs, reprovision masks via [126].
• Export control: Isolate PUF/mask in modules.
This extension integrates with existing drawings (e.g., FIG. 6 for timeline, FIG. 7 for IoT), enhancing [136] Selector/Composer with entanglement logic. The entangled parameter framework supports various state transition models, such as chains for IoT, which leverage birth-synchronized or session-synchronized seeds to predictably evolve message fragments.
Referring to FIG. 1, an exemplary block diagram of a resonance-based quantum communication system [100] is illustrated. The system [100] comprises a first communication device [102], a second communication device [104], and a communication channel [106]. Each device includes a processing unit [108], memory storage [110], communication interface [114], and language engine [116]. The devices synchronize via a set of resonant parameters [122], including global parameters (e.g., satellite positions, gravitational influences) and local parameters (e.g., time, device-specific states like temperature or magnetic field), determined at production time or session start to ensure deterministic operation for legitimate users and non-deterministic security against attackers. The processing unit [108] synchronizes the set of resonant parameters [122] at initialization, ensuring both devices or processes compute identical states. The memory storage [110] stores the communication language dictionary (e.g., mapping time to “Orbit stable” or satellite position to “Signal strong”), parameter evolution models (e.g., orbital equations, clock drift polynomials), and message fragments. The language engine [116] designs a communication language by mapping combinations of parameter states to a dictionary of message fragments, maximizing message permutations (e.g., combining time, satellite position, and quantum phase yields millions of unique messages). The communication interface [114] transmits minimal data packets (e.g., “SOS:at 45N:b7b8”) over classical (e.g., fiber optics for land) or optionally quantum optical channels (e.g., satellite links for space). The system [100] supports real-time encoding and decoding, with the processing unit [108] computing message fragments from resonant states using the communication language. For example, a time snapshot at 12:00:00.000 maps to “Orbit stable,” and a completion input “at 45N” forms “Orbit stable at 45N.” The language engine [116] scales message combinations exponentially with parameter count and observation precision (e.g., 10 parameters with 100 states each yield 10^{20} possible messages). The controllable parameter (e.g., phase shift, bit toggle) encodes the completion input, appended with a checksum (e.g., 16-bit FNV-style) for error detection.
The system [100] is optimized for diverse environments:
• Space Applications: Utilizes global parameters like satellite positions (via GPS ephemeris data) or gravitational influences (e.g., phase shifts from spacetime curvature), benefiting from low cosmic noise for reliable, low-latency communication (e.g., inter-satellite links in CubeSat swarms). Latency reduction is achieved by transmitting minimal data packets (e.g., 20 bytes), measurable as airtime savings in satellite links (e.g., via DSN or CubeSat transceivers). Acceptance window configurable to accommodate delays (e.g., ±10s for space).
• Land Applications: Leverages local parameters like time (via synced clocks) or device-specific states (e.g., temperature, magnetic field variations embedded at production or session start) for IoT or mobile networks, enabling low-compute devices to communicate securely. Acceptance window configurable for jitter tolerance (e.g., ±1s for terrestrial).
• Global and Local Scalability: Supports global networks (e.g., satellite constellations) and local setups (e.g., device-to-device in urban areas), with the language engine adapting the dictionary to context-specific needs.
• Aerospace: May be used by aerospace users for short, low-power bursts in EMCON scenarios; frequency agility and re-key on anomaly for LPI/LPD and anti-jam. Acceptance window configurable for resilience (e.g., ±5s for aerospace).
The production-time or session-start determination of resonant parameters ensures non-deterministic security primarily through the secrecy of the birth-time or session-start shared master key (K_master) and cryptographic primitives (e.g., HKDF for key derivation, HMAC for integrity), rendering unauthorized decoding infeasible without the key. The large state space (e.g., 256^20 ≈ 2^160 combinations) provides additional resistance to brute-force, including quantum attacks via Grover's algorithm (reducing to ~2^80 operations, still impractical), but security fundamentally relies on the shared secret.
The processing unit [108] is further configured to create cloned communication sessions for high workloads (e.g., multiple simultaneous messages), detected when query frequency exceeds capacity. Cloned sessions operate independently, each using the same language dictionary, and may merge post-processing to optimize resources. The processing unit [108] integrates a configurable timer to manage session lifecycles, ensuring sessions remain active based on demand (e.g., timer set to 10 seconds for frequent queries). The memory storage [110] ensures that resonant parameters, language dictionaries, and message fragments are stored separately from intermediate results, maintaining integrity. In an implementation, the memory storage [110] may integrate cloud storage for scalability, supporting real-time synchronization across space and land environments. The system [100] may also use temporary storage for processing large message sets, with data retained for predefined periods to prevent accumulation. In an exemplary embodiment, the system [100] supports geo-replication, replicating language dictionaries and parameters across multiple locations (e.g., ground stations, satellites) for high availability and disaster recovery. For low-compute devices (e.g., IoT sensors), a limited number of parameters and a simplified language dictionary ensure real-time operation, offline functionality, and robust security.
Referring to FIG. 2, an exemplary flow diagram of a method [200] for resonance-based quantum communication using a parameterized communication language is illustrated. The method starts at step [202]. At step [204], the method comprises synchronizing a set of resonant parameters between a first communication device [102] and a second communication device [104], wherein the set includes one or more parameters, which may include an observable quantum parameter (e.g., spin, phase) and one controllable parameter (e.g., phase shift, bit toggle), determined at production time or session start, and designing a communication language based on combinations of the resonant parameters to maximize message permutations. At step [206], the method comprises observing, by the first communication device [102], a state of the set of resonant parameters (e.g., time, satellite position, quantum phase) to compute a message fragment (e.g., “Signal strong”) using the communication language. At step [208], the method comprises encoding, by the first communication device [102], a completion input (e.g., “over equator”) using the controllable parameter, encrypting it using AES-256-GCM with nonce from window + counter + SID, and appending a checksum (e.g., 16-bit FNV-style) and authentication tag (e.g., "HMAC/KMAC over SID,s,i,g,counter") for integrity. Optional Token FEC (e.g., Reed-Solomon for burst errors, LDPC for low BER) for channel robustness. At step [210], the method comprises transmitting a minimal data packet (e.g., “SOS:over equator:27bc:auth_tag”) to the second communication device [104] over a classical or optionally quantum channel. At step [212], the method comprises decoding, by the second communication device [104], a full message (e.g., “Signal strong over equator”) by combining the observed state with the received completion input, leveraging the communication language and resonance of the parameters. At step [216], the method terminates. Annotate: configurable acceptance windows to accommodate jitter or delays (e.g., for terrestrial/land, aerospace, space).
The method [200] ensures low-latency communication by minimizing transmitted data (e.g., 20 bytes vs. megabytes for full messages) and ultra-security. The communication language exponentially increases message permutations, enabling devices to communicate more complex messages efficiently (e.g., millions of messages from combining time, satellite position, and quantum phase). The processing unit [108] may store intermediate results, language dictionaries, and parameter states in the memory storage [110] for real-time access. In an implementation, the method [200] employs a broadcasting mechanism to distribute message requests across devices, translating requests into execution plans outlining steps like parameter observation, language mapping, and encoding. The method [200] supports diverse environments:
• Space: Uses global parameters like satellite positions (via ephemeris data) or gravitational influences, minimizing noise for reliable links (e.g., configurable latency in LEO satellite networks).
• Land: Employs local parameters like time or device-specific states (e.g., temperature sensors in IoT devices), suitable for low-compute hardware.
• Global/Local: Adapts language dictionaries for global (e.g., constellation-based) or local (e.g., urban device-to-device) communication, balancing scalability and efficiency.
• Aerospace: May be used by aerospace users for EMCON-compliant bursts; re-key on anomaly; Replay Counter [146] for freshness.
Referring to FIG. 3, an exemplary architecture diagram of a communication device [102] in the resonance-based quantum communication system is illustrated. The device comprises a processing unit [108], memory storage [110], communication interface [114], resonance engine [118], language engine [116], and timer module [120]. The resonance engine [118] computes message fragments from resonant parameter states (e.g., mapping time to “Orbit stable”). The language engine [116] designs a communication language by combining parameter states (e.g., time + satellite position + quantum phase) to generate a combinatorial message set, maximizing expressive power (e.g., 10^6 messages from three parameters with 100 states each). The timer module [120] manages session lifecycles, with sessions set to sleep or self-destruct based on demand (e.g., 10-second timers for frequent queries). The communication interface [114] handles minimal data packets, supporting classical (e.g., fiber optics for land) or optionally quantum channels (e.g., satellite links for space). Auth Tag box fed by K_s + token near [114]. Replay Counter [146] and SID [148] feeding Auth Tag and [114]. Secure Sketch [142] beside ECC [140] inside [118]. Mask Vector M_s as horizontal bit-string.
In an implementation, the language engine [116] optimizes the communication language based on query complexity and environment. For example, in space, it prioritizes global parameters like satellite orbits; on land, it emphasizes local parameters like clock ticks or temperature. The language dictionary is dynamically updated based on real-time parameter states, ensuring adaptability. In an exemplary embodiment, the system [100] utilizes communication protocols (e.g., handshake protocols) to coordinate between devices, enhancing collective processing power and coherence. The system [100] may employ horizontal parameter sharding, distributing resonant parameters across devices to manage large message sets efficiently. The system [100] also supports fault tolerance. If distress signals are detected, the processing unit [108] may initiate a self-destruct mechanism, replacing faulty sessions with cloned sessions to maintain continuity. Data lineage and duplication management techniques ensure accurate tracking of parameter states and message fragments, preventing inconsistencies. The system [100] is optimized for low-compute devices, requiring minimal processing to observe parameters and map to the language dictionary. Production-time or session-start determinism ensures security primarily through the secrecy of the birth-time or session-start shared master key (K_master) and cryptographic primitives (e.g., HKDF for key derivation, HMAC for integrity), rendering unauthorized decoding infeasible without the key. The large state space (e.g., 256^20 ≈ 2^160 combinations) provides additional resistance to brute-force, including quantum attacks via Grover's algorithm (reducing to ~2^80 operations, still impractical), but security fundamentally relies on the shared secret. This eliminates the need for low-compute devices to handle wide state varieties, enabling secure communication with microcontrollers or basic sensors. In an implementation, the system [100] integrates with existing infrastructure, such as GPS satellites for global parameters or 5G networks for local communication, ensuring practical deployment. The system [100] may also support temporary storage for processing large message sets, with data retained for predefined periods to maintain efficiency.
Yet another aspect of the present disclosure relates to a non-transitory computer-readable storage medium storing instructions for resonance-based quantum communication, the instructions including executable code which, when executed by a processing unit [108] of a communication device [102], causes the processing unit to:
• Synchronize a set of resonant parameters with another communication device [104], wherein the set includes one or more parameters, which may include an observable quantum parameter and one controllable parameter, determined at production time or session start.
• Design a communication language based on combinations of the resonant parameters to maximize message permutations.
• Observe a state of the set of resonant parameters to compute a message fragment using the communication language.
• Encode a completion input using the controllable parameter, encrypt it using AES-256-GCM with nonce from window + counter + SID, and append a checksum and authentication tag.
• Transmit a minimal data packet comprising the encrypted completion input, the checksum, and the authentication tag to the other communication device [104].
• Decode a full message by combining the observed state with a received completion input, leveraging the communication language and resonance of the parameters. The instructions further cause the processing unit [108] to trigger alerts, ensuring tamper-evident security.
Therefore, the present disclosure provides a technical solution for secure, low-latency quantum communication. The parameterized communication language maximizes message permutations, enabling devices to communicate more complex messages with minimal data (e.g., 20 bytes vs. megabytes). This changes traditional communication paradigms by offloading computation to resonant parameters and language mappings, protecting low-compute devices against quantum attacks via production-time or session-start determinism. The system is scalable across space (e.g., satellite networks), land (e.g., IoT devices), global (e.g., constellation-based), local (e.g., device-to-device), and may be used by aerospace users (e.g., for anti-jam scenarios), optimizing resource utilization and ensuring practical deployment. While considerable emphasis has been placed herein on the disclosed implementations, it will be appreciated that many implementations can be made and that many changes can be made to the implementations without departing from the principles of the present disclosure. These and other changes in the implementations of the present disclosure will be apparent to those skilled in the art, whereby it is to be understood that the foregoing descriptive matter is illustrative and non-limiting. , Claims:CLAIMS
1. A resonance-based quantum communication system, comprising:
• a first communication device and a second communication device, each comprising:
• a processing unit configured to:
• synchronize a set of resonant parameters with the second communication device, wherein the set of resonant parameters includes one or more parameters, which may include an observable quantum parameter (e.g., spin, phase) and one controllable parameter (e.g., phase shift, bit toggle), determined at production time for deterministic operation and non-deterministic security against quantum attacks, and wherein parameters exhibit frequent observable and predictable changes in state, wherein the devices are virtually entangled at birth, i.e., provisioned with the same birth-time secret and parameter initialization enabling identical per-window permutations; no quantum entanglement is required;
• design a communication language based on combinations of the resonant parameters to maximize message permutations, assigning preassigned dictionaries to parameters including cosmic ones for generating complete outputs from small data inputs;
• observe a state of the set of resonant parameters to compute a message fragment using the communication language (optionally using weak measurements for quantum parameters);
• encode a completion input using the controllable parameter;
• encrypt the completion input using a quantum-resistant encryption scheme (e.g., AES-256-GCM with nonce derived from window + counter + SID);
• append a checksum and an authentication tag (e.g., HMAC/KMAC over SID,s,i,g,counter) to the completion input for integrity;
• transmit a minimal data packet comprising the encrypted completion input, the checksum, and the authentication tag to the second communication device; and
• decode a full message by combining the observed state with a received completion input, wherein the decoding leverages the communication language and resonance of the set of parameters across terrestrial, aerospace, space, land, global, or local environments, mapping corrections to current and future parameter states;
• a memory storage configured to store the set of resonant parameters, communication language dictionary, and message fragments;
• a language engine configured to generate a combinatorial message set based on the number of observable parameter states, wherein the number of message combinations scales with observation precision.
2. The system as claimed in claim 1, wherein the processing unit is further configured to detect a disturbance in the quantum parameter, indicating potential eavesdropping, and trigger an alert message.
3. The system as claimed in claim 1, wherein the set of resonant parameters includes at least one global parameter, such as satellite position or gravitational influence, for space or wide-area applications, and at least one local parameter, such as time or device-specific state (e.g., temperature, magnetic field), for land-based or constrained environments, wherein the parameters are pre-synchronized at initialization and determined at production time or session start.
4. The system as claimed in claim 1, wherein the language engine is configured to generate a combinatorial message set by mapping combinations of the resonant parameter states to a dictionary of message fragments, wherein the number of message combinations scales exponentially with the number of parameters and observation precision (e.g., time to milliseconds, satellite position to degrees).
5. The system as claimed in claim 1, wherein the processing unit is further configured to integrate a configurable timer to manage a lifecycle of a communication session, wherein the session remains active for a predefined period based on system demand and query frequency.
6. The system as claimed in claim 1, further comprising a communication interface configured to transmit the minimal data packet over a classical channel (e.g., fiber optics for land applications) or optionally a quantum channel (e.g., satellite links for space environments).
7. The system as claimed in claim 1, wherein the production-time or session-start determination of resonant parameters ensures non-deterministic security against quantum attacks primarily via the shared secret and cryptographic key derivation, requiring super brute-force efforts for unauthorized decoding, protecting low-compute devices without requiring wide state variety.
8. The system as claimed in claim 1, wherein the processing unit is further configured to create cloned communication sessions for high workloads, detected when query frequency exceeds capacity, and merge cloned sessions post-processing to optimize resource utilization.
9. A method for resonance-based quantum communication, comprising:
• synchronizing a set of resonant parameters between a first communication device and a second communication device, wherein the set includes one or more parameters, which may include an observable quantum parameter (e.g., spin, phase) and one controllable parameter (e.g., phase shift, bit toggle), determined at production time or session start, and wherein parameters exhibit frequent observable and predictable changes in state, wherein the devices are virtually entangled at birth, i.e., provisioned with the same birth-time secret and parameter initialization enabling identical per-window permutations; no quantum entanglement is required;
• designing a communication language based on combinations of the resonant parameters to maximize message permutations, assigning preassigned dictionaries to parameters including cosmic ones for generating complete outputs from small data inputs;
• observing, by the first communication device, a state of the set of resonant parameters to compute a message fragment using the communication language (optionally using weak measurements for quantum parameters);
• encoding, by the first communication device, a completion input using the controllable parameter;
• encrypting the completion input using a quantum-resistant encryption scheme (e.g., AES-256-GCM with nonce derived from window + counter + SID);
• appending a checksum and authentication tag (e.g., HMAC/KMAC over SID,s,i,g,counter) to the completion input for integrity;
• transmitting a minimal data packet comprising the encrypted completion input, the checksum, and the authentication tag to the second communication device; and
• decoding, by the second communication device, a full message by combining the observed state with the received completion input, wherein the decoding leverages the communication language and resonance of the set of parameters across terrestrial, aerospace, space, land, global, or local environments, mapping corrections to current and future parameter states.
10. The method as claimed in claim 9, further comprising detecting a disturbance in the quantum parameter and triggering an alert to indicate potential eavesdropping.
11. The method as claimed in claim 9, further comprising storing the set of resonant parameters, communication language dictionary, and message fragments in a memory storage for real-time access during decoding.
12. The method as claimed in claim 9, further comprising creating cloned communication sessions for high workloads and merging cloned sessions post-processing to optimize resources.
13. A non-transitory computer-readable storage medium storing instructions for resonance-based quantum communication, the instructions including executable code which, when executed by a processing unit of a communication device, causes the processing unit to perform the steps of the method as claimed in claim 9.
14. The system as claimed in claim 1, wherein virtual clocks with birth-calibrated offsets ensure synchronized message synthesis.
15. The system as claimed in claim 1, wherein future parameter states are simulated to schedule messages, ensuring identical inputs produce different messages across time windows.
16. The system as claimed in claim 1, wherein deterministic observables produce shared states for synchronized message synthesis across devices.
17. The system as claimed in claim 1, wherein cosmic parameters are used as public salt in key derivation for latency reduction in space environments.
18. The system as claimed in claim 1, wherein error correction stabilizes shared observable states (e.g., Gray coding for temperature bins) for robust decoding.
19. The system as claimed in claim 1, wherein resonant parameters span classical, material, atomic, and quantum scales.
20. The system as claimed in claim 1, wherein a configurable acceptance window policy accommodates jitter or delays, such as for terrestrial/land, aerospace (anti-jam resilience), and space environments.
21. The system as claimed in claim 1, wherein the mask vector M_s is represented as a horizontal bit-string for parameter selection.
22. The system as claimed in claim 1, wherein optional forward error correction (FEC) is applied to the completion input token for channel robustness.
23. The system as claimed in claim 1, wherein the planner [150] outputs schedules with illustrative data for visual completeness.
24. The system as claimed in claim 1, wherein the system is configured for high-end computers in private or public networks to communicate using minimal data packets, reducing network load, power consumption, and carbon emissions, wherein the minimal data transfer leverages the communication language and resonance of the set of parameters to enable efficient message synthesis locally, as depicted in FIG. 1, FIG. 2, and FIG. 7.
25. The system as claimed in claim 1, wherein the system is configured for integration into existing projects using virtual parameters, enabling on-the-fly decoding of messages with low latency, wherein the architecture requires sufficient computational resources for real-time processing, as depicted in FIG. 3 and FIG. 6.
26. The system as claimed in claim 1, wherein establishing the shared state does not involve distribution or measurement of quantum states, and quantum observations are optional.
27. The system as claimed in claim 1, further comprising a quantum observation module configured to perform weak measurements on the quantum parameter to avoid state collapse, wherein such measurements are optional for embodiments relying on classical parameters; for example, using optical interferometry with a probe beam weakly coupled to the system, as in free-electron-photon interactions or Stern-Gerlach setups, where the measurement strength is tuned by adjusting the interaction time or coupling constant to detect disturbances above a threshold (e.g., variance exceeding 10% of expected state).

Dated this 29th day of August 2025
_____________________
ABHISHEK MAGOTRA
IN/PA No. – 1517
of MS LAW PARTNERS
Agent for the Applicant