Quantum Computing System and Method

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This invention is a hybrid computing system that pairs a classical computer with a quantum computer to run complex arithmetic calculations more efficiently. When a program needs to perform arithmetic functions, the system automatically converts those functions into a series of Fourier components — a mathematical representation that breaks down complex operations into simpler wave-like parts. These Fourier components are then executed on the quantum computer using specialized quantum circuits built from rotation gates acting on qubits. The results are collected and processed by the classical computer to produce the final output, combining the strengths of both computing paradigms.

Use CasesContent extracted from patent full text and abstract with AI.

• Accelerating financial modeling and risk analysis (e.g., options pricing via Monte Carlo simulations) by offloading arithmetic-heavy computations to the quantum processor.
• Speeding up machine learning training routines where arithmetic-intensive operations such as dot products or activation functions can be decomposed into Fourier components and executed on quantum hardware.
• Enhancing cryptographic algorithm development and analysis by leveraging quantum Fourier-based arithmetic for number-theoretic computations.
• Improving scientific simulations in chemistry or physics where repeated arithmetic evaluations of complex functions (e.g., potential energy surfaces) are required.
• Optimizing logistics and scheduling solvers that rely on arithmetic cost-function evaluations within hybrid classical-quantum optimization loops.

BenefitsContent extracted from patent full text and abstract with AI.

• Arithmetic functions that are computationally expensive on classical hardware can be executed more efficiently by mapping them to quantum Fourier components and rotation-gate circuits.
• The Fourier-based transformation provides a systematic, general-purpose method for converting a broad class of arithmetic functions into quantum-executable form, reducing the need for hand-crafted quantum algorithms.
• Using rotation gates on qubits to represent Fourier components allows fine-grained control over precision, enabling tunable trade-offs between accuracy and circuit depth.
• The hybrid classical-quantum architecture ensures backward compatibility with existing software stacks, as the classical computer handles program control flow and result post-processing.
• Decomposing arithmetic into Fourier series naturally exploits quantum parallelism, potentially reducing the number of computational steps compared to purely classical evaluation.

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Patent Abstract

A quantum computing system includes a classical computer coupled in combination with a quantum computer, wherein the quantum computing system is configurable to execute program instructions to process input data to generate corresponding output data. The program instructions include one or more arithmetic functions to be executed using the quantum computer. The quantum computing system is configured to apply a transformation to transform the one or more arithmetic functions into a series of Fourier components that are executable using the quantum computer by using one or more quantum circuits utilizing rotation gates acting on qubits representing the Fourier components, and to process outputs from the one or more quantum circuits to generate results of the one or more arithmetic functions, wherein the results are used to generate the corresponding output data.