Method and system for a quantum-enhanced decryption process for RSA and AES encryptions
View Patent ↗The embodiments provided herein disclose a method and system for a quantum-enhanced decryption process for RSA and AES encryptions. The system includes a quantum computing module with one or more processors configured to execute quantum algorithms. A classical computing module is provided for post-processing decrypted data and a data conversion module facilitates data format translation between quantum and classical modules. An interface module is provided for user interaction with an integrated software to optimize the system for performance, security, and resource efficiency. The system is further capable of decrypting RSA and AES encrypted data, along with quantum-vulnerable encryption standards found in both real-time and archived data sources.
1 . A method for quantum-enhanced decryption for RSA and AES encryptions, the method comprising the steps of:
developing a quantum computing module to implement one or more quantum algorithms comprising at least one of Shor's algorithm, a Lenstra elliptic-curve factorization Grover's algorithm, or a quantum version of ECM with Edwards curves (GEECM), wherein the quantum computing module is configured to specifically target decryption of RSA and AES encrypted data through modular allocation of quantum gate parameters, adaptive quantum circuit layouts based on real-time performance metrics, and integrated mid-circuit measurement-based conditional branching for performance tuning;
designing a classical computing module to perform one or more post-processing steps comprising cryptographic key reconstruction based on outputs received from the quantum computing module, wherein the post-processing further comprises classical error correction and privacy amplification techniques to maintain data integrity and confidentiality across quantum-classical interfaces, and supports dynamic adjustment of quantum-classical fidelity thresholds;
implementing a data conversion module to translate an output provided by the quantum computing module into a compatible format capable of being utilized by the classical computing module, the translation including conversion of qubit measurement results into classical bit strings or structured data suitable for subsequent cryptographic analysis, along with integrity verification metadata;
creating an interface module to permit a user to interact with a software application, wherein the interface module provides one or more inputs comprising encrypted data and receives one or more outputs;
integrating each of the quantum computing module, the classical computing module, the data conversion module, and the interface module with the software application; and
optimizing the software application for one or more performance metrics, one or more security metrics, and one or more resource metrics, including adaptive machine learning models that predict and preemptively address decryption errors, dynamic load balancing between quantum and classical resources, and compliance with data privacy regulations during decryption of large-scale RSA and AES data streams.
2 . The method of claim 1 , wherein the one or more quantum algorithms are developed using a quantum computing library comprising at least one of Qiskit, Cirq, or other quantum software toolkits.
3 . The method of claim 1 , wherein the one or more quantum algorithms are developed using a quantum computing framework, which facilitates the design, simulation, actualization, implementation and testing of quantum circuits, supporting error correction protocols, and quantum logic gates customization, ensuring adaptability to various quantum software and hardware architectures including superconducting qubits, trapped ions, or photonic quantum processors.
4 . The method of claim 1 , wherein the one or more post-processing steps includes a classical error correction step, and security or privacy amplification steps, configured to maintain data integrity and confidentiality across quantum-classical interfaces; said steps comprising, but not limited to, dynamic role-based access controls, comprehensive audit trails, secure management of boot processes, and end-to-end encryption protocols adaptable to both quantum-resilient and classical encryption standards; the method further comprising utilizing a distributed architecture for scalable processing, data redundancy, and resilience; the employing of algorithmic, machine learning or artificial intelligence techniques to adaptively manage security protocols in real-time or through predictive methodologies, and employing parallel processing techniques for efficient data flow management, while systematically verifying the integrity and security of the data throughout the process.
5 . The method of claim 1 , wherein the one or more inputs is one or more decryption parameters, including but not limited to specific data queries or structures, tracked structures or communications, protocol mediums, cryptographic protocols, key lengths, padding schemes, and protocol versions, wherein the decryption parameters are dynamically selected based on the encryption standard used and the security or decryption requirements specified by the user or application, ensuring compatibility with RSA, AES, and other quantum-vulnerable encryption standards.
6 . The method of claim 1 , wherein the one or more outputs includes a plurality of decrypted data.
7 . The method of claim 1 , wherein the interface module provides a graphical user interface.
8 . The method of claim 1 , wherein the interface module provides a command-line interface.
9 . The method of claim 1 , wherein the interface module provides an application programming interface.
10 . The method of claim 1 , wherein the software application is optimized using fine-tuning of the quantum algorithms as well as the process of adjusting gate parameters, optimizing qubit allocation and layout for minimal quantum state decoherence, and implementing adaptive quantum circuit designs based on real-time performance metrics.
11 . The method of claim 1 , wherein the software application and its modules are optimized using classical and quantum post-processing techniques, including but not limited to the dynamic allocation of computational resources for error correction, application of machine learning algorithms to predict and preemptively address decryption errors, integration of artificial intelligence techniques comprising machine learning models and transformer-based architectures for enhanced key recovery and cryptographic analysis, adaptive error correction mechanisms tailored to quantum noise characteristics, and the use of multithreading to efficiently manage simultaneous decryption tasks across quantum and classical computing environments.
12 . The method of claim 1 , wherein the software application is optimized using one or more integration methods designed to ensure compatibility and enhance performance across diverse computing platforms; said techniques including, but not limited to, a modular software architecture for facile updates and enhancements to quantum algorithms, the integration of quantum and classical processors, the cross-environment functionality for seamless operation with various classical computing infrastructures, the implementation of real-time decryption and database-oriented structures, and the deployment of extensible APIs enabling robust data exchange and interoperation between quantum computing systems and traditional data analysis platforms, with the provisions for accommodating advancements in quantum computing, artificial intelligence and cryptographic protocols.
13 . The method of claim 1 , wherein the software application and its modules are configured for interoperability with existing data analysis platforms by supporting standard data interchange formats and protocols comprising JSON, XML, and ASN.1, and employing mechanisms to ensure compliance with data privacy and security regulations such as AES-256 encryption, zero-trust access control, post-quantum cryptographic resilience measures, and adherence to industry standards for secure cryptographic key handling, thereby ensuring compatibility with quantum and classical security frameworks.
14 . The method of claim 1 , wherein the software application enables real-time decryption and analysis of encrypted data, such as communications.
15 . The method of claim 1 , wherein the quantum computing module is configured to scale dynamically based on the volume of encrypted data being processed, supporting high-throughput decryption tasks consistent with real-time analysis of large-scale data streams, is enabled with configurability for existing and future cryptographic, data visualization, data analytics and programming systems, and supports standard data interface formats and protocols of such systems.