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Artificial Intelligence And Machine Learning Based Programming For Storing Large Databases Into A Lesser Memory Using Quantum Computing

Abstract: This invention analyzes artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing. According to an embodiment, AI and machine learning Quantum Computing computer program mechanism zip, comprises at least 98% a quantum computing complex. The integrated development environment (IDE) module and a compiler module, interpreter model and also the quantum computing integrated development environment module is used to design a quantum complex logic for a plurality of qubits and other required bits. According to an embodiment, in present invention artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing includes instructions for independently setting the frequency. It resolved set of operators. It is include for selecting a quantum computing system to execute all or a portion of said set of quantum machine language instructions.

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Patent Information

Application #
Filing Date
10 February 2022
Publication Number
07/2022
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
soni.mukesh15@gmail.com
Parent Application

Applicants

Sumit Kumar
Research Scholar, Indian Institute of Management, Kozhikode, Kerala India
Dr. Najeeb Ahmad Khan
Associate Professor, Faculty of Engineering and Technology Arunachal University of Studies, Namsai, Arunachal Pradesh
Dr. Shweta Singh
Associate Professor, Electronics and Communication Department, IES College of Technology, Bhopal, Madhya Pradesh
Prof. (Dr.) Anurag Dixit
Dean, University School of Engineering & Technology Rayat Bahra University, Mohali, Punjab
Rohit Sharma
Panipat Institute of Engineering and Technology, Panipat, Haryana
Dr. Sheshang Degadwala
Associate Professor & Head of Department, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India

Inventors

1. Sumit Kumar
Research Scholar, Indian Institute of Management, Kozhikode, Kerala India
2. Dr. Najeeb Ahmad Khan
Associate Professor, Faculty of Engineering and Technology Arunachal University of Studies, Namsai, Arunachal Pradesh
3. Dr. Shweta Singh
Associate Professor, Electronics and Communication Department, IES College of Technology, Bhopal, Madhya Pradesh
4. Prof. (Dr.) Anurag Dixit
Dean, University School of Engineering & Technology Rayat Bahra University, Mohali, Punjab
5. Rohit Sharma
Panipat Institute of Engineering and Technology, Panipat, Haryana
6. Dr. Sheshang Degadwala
Associate Professor & Head of Department, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India

Specification

Claims:1. Artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing.

2. According to an embodiment, the artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing includes instructions for independently setting the frequency.

3. According to an embodiment, it resolved set of operators.

4. According to an embodiment, it is include for selecting a quantum computing system to execute all or a portion of said set of quantum machine language instructions.
, Description:Technical field of invention:

The present invention relates artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing.

Prior Art:

Quantum Computing is a new kind of computing based on Quantum mechanics that deals with the physical world that is probabilistic and unpredictable in nature. Quantum mechanics being a more general model of physics than classical mechanics give rise to a more general model of computing- quantum computing that has more potential to solve problems that cannot be solved by classical ones. To store and manipulate the information, they use their own quantum bits also called ‘Qubits’ unlike other classical computers which are based on classical computing that uses binary bits 0 and 1 individually. The computers using such type of computing are known as ‘Quantum Computers’. In such small computers, circuits with transistors, logic gates, and Integrated Circuits are not possible. Hence, it uses the subatomic particles like atoms, electrons, photons, and ions as their bits along with their information of spins and states. They can be superposed and can give more combinations. Therefore, they can run in parallel using memory efficiently and hence is more powerful. Quantum computing is the only model that could disobey the Church-Turing thesis and thus quantum computers can perform exponentially faster than classical computers.
Peter Shor in 1993 showed that Quantum computers can help to solve these problems considerably more efficiently like in seconds without getting overheated. He developed algorithms for factoring large numbers quickly. Since their calculations are based on the probability of an atom’s state before it is actually known. These are having the potential to process data in an exponentially huge quantity. It also explains that a practical quantum computer could break the cryptographic secret codes. It can risk the security of encrypted data and communication. It can expose private and protected secret information. But the advantages of quantum computers are also kept in mind that is significantly more than its flaws. Hence, they are still needed and further research is going towards a brighter future.
The invention there is provided a quantum computer for transforming a first state into a second state comprising means for defining a first quantum dot, means for defining a second quantum dot, said means for defining said first and second quantum dots being spaced apart and arranged so as to define first and second basis states of a quantum bit, means for preparing the first state as a superposition of said first and second basis states and means for controlling coupling between said first and second quantum dots so as to transform said first state into said second state.

The first basis state may be defined by a first given charge distribution across said first and second quantum dots. For example, it may be defined by a given amount of excess charge on said first quantum dot relative to said second quantum dot. The second basis state may be defined by a second given, different charge distribution across said first and second quantum dots. For example, it may be defined by a given amount of excess charge on said second quantum dot with respect to said first quantum dot. The means for controlling coupling between said first and second quantum dots may comprise means for adjusting a tunnel barrier disposed between said first and second quantum dots. The first and the second quantum dots may be of unequal size.

The quantum computer may comprise a conductive channel region between sources and drain regions, which may be substantially planar. First, second and third portions of the conductive channel region may be configured so as to define first, second and third tunnel barriers respectively. The conductive channel region may comprise a semiconductor, such as silicon-germanium, which may be doped with an impurity. The impurity may be an acceptor, such as boron with a concentration of at least x101 9 cm 3. The conductive channel region may be isolated by trench means. The means for defining said first and second quantum dots may be configured so as to exhibit Coulomb blockade. The quantum computer may comprise means for measuring charge on at least one of, and preferably both, said first and second quantum dots. The means for measuring charge may comprise a single-electron electrometer.

The invention there is provided a quantum computer for transforming a first state into a second state comprising an array of elements, each element of the array comprising means for defining a first quantum dot, means for defining a second quantum dot, said means for defining said first and second quantum dots being spaced apart and arranged so as to define first and second basis states of a quantum bit, means for preparing a quantum bit state as a superposition of said first and second basis states, said elements being arranged so as to cause entanglement of the quantum bits of said elements of said array, means for preparing said first state as an entangled superposition of quantum bit states and means for controlling coupling between first and second quantum dots of at least one element so as to transform said first state into said second state.

The invention there is provided a method of operating a quantum computer comprising means for defining a first quantum dot, means for defining a second quantum dot, said means for defining said first and second quantum dots being spaced apart and arranged so as to define first and second basis states, the method comprising preparing a first state as a superposition of said first and second basis states and controlling coupling between said first and second quantum dots so as to transform said first state into a second state. The controlling of the coupling between said first and second quantum dots may comprise lowering a tunnel junction disposed between said first and second quantum dots for a predetermined period of time. The method may comprise providing an excitation so as to cause Rabi oscillations between said first and second states.

The invention there is provided an electronic device comprising means for channeling charge carriers, means for providing charge carriers to said channel means with a first range of charge carrier energy, said channel means comprising means for defining a first quantum dot with a first set of energy levels, means for defining a second quantum dot with a second set of energy levels having different level spacing from the first set, wherein the first range of charge carrier energy is greater than the spacing between a pair of adjacent energy levels of the first quantum dot and that charge carrier transport through the device only takes place through a one of the first set of energy levels and a one of the second set of energy levels which are energetically aligned.

Objective of the invention

The primary object of the present invention is artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing.

Summary of the invention:

Accordingly following invention is artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing.

According to an embodiment, artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing includes instructions for independently setting the frequency. It resolved set of operators. It is include for selecting a quantum computing system to execute all or a portion of said set of quantum machine language instructions.

Detailed description of invention:

The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

The present invention is artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing.

Our Invention is a computer language based (Java, C, C++, C#, Ang-3, Ang-8, Ml, DL, A-based) program. It is used in conjunction with a computer system. The computer program product is zip, which comprises minimized memory storage size. The computer is readable very small storage medium and a computer program mechanism embedded therein. The Quantum Computing computer program mechanism having zip, comprises at least 98% a quantum computing complex. The Quantum computing have integrated development environment module and a compiler module, interpreter model. The quantum computing integrated development environment module is used to design a quantum complex logic for a plurality of qubits. The Quantum Computing integrated complex development environment module includes instructions for generating a time, real-time resolved set of multiple operators and Al-Based programming the compiler and interprets module includes instructions for compiling the time resolved set of operators into a set of quantum A-programming, machine language instructions.

Quantum Computing using qubits is based on binary calculation (binary numbers 0, 1) in information systems. Binary numbers are having special advantages for systems with extremely large databases as well as small database in which the currently used electronic digital computers using bits (1 to 0, 000101,1111010 or "off" to "on") reach their limits.

AI and machine learning Quantum Computing computer program mechanism zip, comprises at least 98% a quantum computing complex. The integrated development environment (IDE) module and a compiler module, interpreter model and also the quantum computing integrated development environment module is used to design a quantum complex logic for a plurality of qubits and other required bits.

In present invention artificial intelligence and machine learning based programming for storing large databases into a lesser memory using quantum computing includes instructions for independently setting the frequency. It resolved set of operators. It is include for selecting a quantum computing system to execute all or a portion of said set of quantum machine language instructions.

Additional advantages and modification will readily occur to those skilled in art. Therefore, the invention in its broader aspect is not limited to specific details and representative embodiments shown and described herein. Accordingly various modifications may be made without departing from the spirit or scope of the general invention concept as defined by the appended claims and their equivalents.

While the invention has been described and illustrated with reference to certain particular embodiments thereof, those skilled in the art will appreciate that various adaptations, changes, modifications, substitutions, deletions, or additions of procedures and protocols may be made without departing from the spirit and scope of the invention.

Documents

Application Documents

# Name Date
1 202241007231-STATEMENT OF UNDERTAKING (FORM 3) [10-02-2022(online)].pdf 2022-02-10
2 202241007231-REQUEST FOR EARLY PUBLICATION(FORM-9) [10-02-2022(online)].pdf 2022-02-10
3 202241007231-FORM-9 [10-02-2022(online)].pdf 2022-02-10
4 202241007231-FORM 1 [10-02-2022(online)].pdf 2022-02-10
5 202241007231-DECLARATION OF INVENTORSHIP (FORM 5) [10-02-2022(online)].pdf 2022-02-10
6 202241007231-COMPLETE SPECIFICATION [10-02-2022(online)].pdf 2022-02-10