Variational coherent quantum annealing method and system

The variational coherent quantum annealing method addresses decoherence and noise issues in quantum annealing systems by using a hybrid quantum-classical framework to optimize quantum state preparation, enhancing algorithm performance.

WO2025073791A1PCT designated stage expired Publication Date: 2025-04-10KIPU QUANTUM GMBH
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Patent Information

Application Number
PCT/EP2024/077787
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-02-14
Filing Date
2024-10-02
Publication Date
2025-04-10

AI Technical Summary

Technical Problem

Existing quantum annealing systems face challenges in achieving high-fidelity quantum state preparation and control, particularly in the presence of decoherence and noise, which hinders the performance of quantum algorithms.

Method used

A variational coherent quantum annealing method and system that employs a hybrid quantum-classical framework to optimize quantum annealing processes, utilizing a classical optimizer to guide the evolution of quantum states and mitigate decoherence effects.

Benefits of technology

Enhances the fidelity of quantum state preparation and control, improving the performance of quantum algorithms by reducing decoherence and noise impacts.

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Abstract

The invention relates to a computer-implemented method, to a computer program and to a computer device as described herein. Specifically, the computer-implemented method for solving an optimization problem using a quantum annealing computer comprises a) providing a total Hamiltonian that consists of - an initial Hamiltonian - a final Hamiltonian, encoding the solution to the problem being solved in its ground state, and - an auxiliary Hamiltonian, describing local fields over each of a set of given qubits, wherein each of the Hamiltonians has an independent schedule function; and b) performing a time evolution of the total Hamiltonian in a quantum annealing computer to obtain the solution to the optimization problem.
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Description

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Claims

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