Claims:1. An Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic comprises of
a. Layered architecture quantum computing which consists of five layers such as physical layer, virtual error cancellation, quantum error correction, logical layer and application layer.
b. Process of hybridizing cloud and quantum computing and flow of data and control information between quantum computing and cloud computing in case of Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics model integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic.
2. An Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic according to claim 1 wherein Quantum computing is adopted along with the cloud-based server in logistics supply management system
3. An Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic according to claim 1 wherein the Qubits and logical gates are used to process the data and control information.
4. An Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic according to claim 1 wherein the real time traffic information is collected from various cloud server resides at different location to find the optimal path.

5. An Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic according to claim 1 wherein the error identification and correction module is integrated along with quantum computing model to predict the robust solution.
, Description:FIELD OF THE INVENTION
The field of this invention relates to Quantum computing-based application, software and more particularly in the development of an Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic.
BACKGROUND OF THE INVENTION
In order to attain business objectives, supply chain and logistics managers must constantly balance many, sometimes conflicting variables. Running a lean and mean operation necessitates optimizing supply chain and outbound logistics parameters and balancing them against constantly changing customer demand. Everything must function as though it were a highly tuned machine. We must precisely estimate demand, secure just the right supply levels, and transfer supply in and product out in an agile and streamlined manner to reduce the cost of surplus stock.
Add to these difficulties the pandemic-driven shift in e-commerce consumer purchasing from single basket, purchasing multiple items in one large basket, purchasing a small number of items in multiple baskets, which is compounded by rising consumer expectations for fast and free delivery. This has only become worse since everyone has been stranded at home, causing logistic planners a last-mile delivery nightmare. The necessity of managing supply chain management logistics is demonstrated by the startling 154 percent compound annual growth in same-day delivery.
With an ever-increasing volume of parcels, ensuring next-day or same-day delivery necessitates end-to-end optimization of the entire distribution process. These problems are excellent candidates for using quantum computing techniques. This method allows complex logistics data to be analyzed for rapid, effective delivery and the best possible customer experience, resulting in customer retention and revenue growth.In concern with the above-discussed issues for logistics sector, we are urge in Optimizing logistics supply chain management system using cloud-based Quantum Computing with an objective of enhancing the logistics supply-chain system by calculating the optimal route dynamically based on the real time traffic.
PRIOR ART STATEMENT
1. The patent CN107516175B filed on 16th June 2016 is about the invention of method and system determines the number of days in transit and the allocation period from a supply warehouse to a demand warehouse where the goods flow between the supply warehouse and the demand warehouse. The major components include a transportation tool, transportation time, transmission time of an operation document, loading and unloading time of the warehouse.
2. The patent CN100495469C filed on 12th July 2007 is about the invention of a system and method of identifying non-contact, electronic document transfer, inventory management, and the dynamic course of scheduling. Truck smart terminals, Access Control wireless probes, electronic map display equipment, mobile data communications equipment, and a vehicle transport schedule management system are all part of the system.
3. The patent US9123015B2 filed on 24th January 2011 is about the invention of method and system for determining optimal logistics solutions by allowing a goods purchaser to alter order frequency and amount of goods bought in order to reduce logistics expenses while still meeting inventory restrictions. The logistics solution employs a number of models to find the best solution for a variety of variables, including overall cost, percentage trailer utilization, vehicle number, and miles driven.
4. The patent US8019504B2 filed on 12h June 2008 is about the invention of developing a system and method where a strategy for recognizing events that have an impact on aircraft availability is described. The collected data, operational, maintenance, supply, and provisioning data for a variety of aircraft are collected from a variety of sources. The processed data is in a format that allows an analysis of aircraft availability for a plurality of aircraft to be performed.
5. The patent US9449325B2 filed on 22nd April 2015 is about the invention of method and system where a unique product identity generation system (UPIDGS) set to generate a unique product identity (UPID) code matching to a product is included in an authenticity verification system. An anomaly generation and identification system (AGIS) linked to the UPIDGS are configured to generate an anomaly to be placed into a product's standard pattern.
6. The patent US20200065759A1 filed on 3rd September 2019 is about the invention of method and system where the platform will offer real-time monitoring to support the sales, financial management, and post-sales processes by selectively and securely displaying data relating to production variables, logistics, and supply chain. It effectively configures factors of product development, production, supply chains, and logistic operations and dynamically controls such factors, supply chain and logistics to optimize performance.

From the patent literature survey, it is identified that no prior inventions about developing an Optimizing logistics supply chain management system using cloud based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic.

OBJECTIVE OF THE INVENTION
1. To hybrid Quantum computing and heterogeneous based Cloud server to gather real time traffic information from various geographical regions.
2. To apply separate layer for error prediction and rectification module as one of the features in the quantum computing framework.
3. To adopt Qubits and logic gates to perform internal process and transfer the conformation among all the internal units.
4. To take measurements such as Z-basis and X-basis to refine the final outcome this in turn results in robust solution.

SUMMARY OF THE INVENTION
The problem mentioned in the background can be solved by introducing an Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic.
The invention aims to develop an Optimizing logistics supply chain management system using cloud based Quantum Computing to improve the logistics integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic. The system works based on real time datasets collected from various cloud servers resides at different location. These cloud servers are equipped with the capacity of handling information such as existing paths along with dynamic traffic details, best time to take the respective path, etc. Based on the above inputs given by the cloud server, the quantum computing model starts to work on finding the optimal path to reach the destination with a minimal time. The Quantum Computing framework model comprises of five layers where each and every layer is deputed for specific task. The algorithm used here to find the optimal path will be placed at application-level layer and it provides a robust solution to reach the target. It also supports error detection and correction functionality as one of internal feature inside the quantum model itself by means of applying qubits and logic gates. Finally, all the physical equipments are tied under the physical layer.

In this way, optimizing logistics supply chain management system is adopted using cloud-based Quantum Computing with an objective of enhancing the logistics supply-chain system by calculating the optimal route dynamically based on the real time traffic and these datasets are collected from heterogeneous cloud server originated at different location.
BRIEF DESCRIPTION OF THE DRAWINGS
Other features of the invention are described briefly in FIG. 1 and FIG. 2,
FIG. 1 represents layered architecture of quantum computing how five different layers of quantum-based model interacting all internal components and logic gates in the process of optimizing logistics supply chain management system using cloud-based Quantum Computing by updating the optimal route dynamically based on the real time traffic.
FIG. 2 represents the process of hybridizing cloud and quantum computing and flow of data and control information between quantum computing and cloud computing in case of Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics model integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic.
DETAILED DESCRIPTION OF THE INVENTION
FIG. 1 represents layered architecture of quantum computing how five different layers of quantum-based model interacting all internal components and logic gates in the process of optimizing logistics supply chain management system using cloud-based Quantum Computing by updating the optimal route dynamically based on the real time traffic.
FIG. 2 represents the process of hybridizing cloud and quantum computing and flow of data and control information between quantum computing and cloud computing in case of Optimizing logistics supply chain management system using cloud-based Quantum Computing to improve the logistics model integrated with supply-chain system by updating the optimal route dynamically based on the real time traffic.
The system starts to work by collecting real time datasets such as optimal path to reach the destination without any traffic and also the best time to travel the respective path. It also manages the package or load details to be deliverable along with the acknowledgement confirmation of the delivery. These real time datasets are collected from various cloud servers resides at different location. The Quantum Computing framework model comprises of five layers such as physical layer, virtual error cancellation, quantum error correction, logical layer and application layer. Each and every layer is specially made for performing specific task. The quantum algorithm which finds the optimal path will be placed and an interface to communicate with the outside world are situated at application-level layer and it provides a robust solution to reach the target. With a scope of attaining error free outcome, it also supports error detection and correction functionality as one of internal feature inside the quantum model itself by means of applying qubits and logic gates. Electronic reading or writing chipset is used for the purpose for transferring information from ad to the cloud-based server. Finally, all the physical equipment’s are tied under the physical layer. It does the measurement process such as application level and logical level at the respective layer. The most important measurement like Z-basis and X-basis are the major factor involved in error detection and correction functionality at quantum error correction layer. Various models of gates are employed at all different levels of quantum model framework to get better results. In this way, Optimizing logistics supply chain management system is adopted using cloud based Quantum Computing with an objective of enhancing the logistics supply-chain system by calculating the optimal route dynamically based on the real time traffic and these datasets are collected from heterogeneous cloud server originated at different location.