Quantum Circuit Optimization via Coordinate-Descent Method

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Systems And Methods for Optimizing Parameterized Quantum Circuits for Combinatorial Optimization and Machine Learning Tasks Using Coordinate-Descent

Application US20260099743A1 Kind: A1 Apr 09, 2026

Inventors

Rudy Raymond Harry PUTRA, Pradeep NIROULA, Alexander BUTS, Marco PISTOIA

Abstract

Systems and methods for optimizing parameterized quantum circuits for combinatorial optimization and machine learning tasks using coordinate-descent are disclosed. A classical computer program constructs a plurality of parameterized quantum circuits with quantum circuit for an objective function and selects Pauli operators associated with decision variables. The classical computer program sends the parameterized quantum circuits and Pauli operators to a quantum computer, which executes the circuits and measures the decision variables. The classical computer program receives the measurements, calculates an objective value, and determines if a stopping criterion is met. If the stopping criterion is not met, the classical computer program selects a parameter, instructs the quantum computer to execute the circuits with the selected parameter, and computes an optimized value. The process repeats until the stopping criterion is met, and the objective value is outputted.

CPC Classifications

G06N 10/20

Filing Date

2024-10-02

Application No.

18904769

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