Apparatus and method for optimization

By employing the QTSA method and noise addition technique, the problem of excessive computation time caused by the first-order quantum phase transition in quantum annealing was solved, and efficient solution of the ground state of the Ising model was achieved.

CN114417543BActive Publication Date: 2026-06-05FUJITSU LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
FUJITSU LTD
Filing Date
2021-09-27
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing quantum annealing methods are easily limited by first-order quantum phase transitions when solving combinatorial optimization problems, resulting in excessively long computation times and difficulty in efficiently finding the ground state of the Ising model.

Method used

By introducing the quantum thermal simulated annealing (QTSA) method, combined with imaginary time propagation and noise addition techniques, the state changes of the Ising model are simulated, the system symmetry is broken, and the probability and efficiency of finding the ground state are improved.

Benefits of technology

This effectively avoids first-order quantum phase transitions, improves the efficiency and speed of ground state solution in the Ising model, and reduces computation time.

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Abstract

The present application relates to an apparatus and a method for optimization. An optimization apparatus solves the ground state of an Ising model by running a simulation of state changes of the Ising model that occur when a magnetic field applied to the Ising model representing a target problem is decreased. In doing so, the optimization apparatus adds values corresponding to noise to some coefficients used in the simulation. Then, the optimization apparatus performs a first process of real-time propagation that decreases the strength of the magnetic field with the time progression in the simulation and a second process that decreases the energy of the Ising model based on an imaginary-time propagation method.
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