Quantum Computing Report

JIJ Launches SQOA Solver in IBM Quantum Functions Catalog to Tackle Combinatorial Optimization Beyond Qubit Counts

JIJ Inc. has launched its SQOA Solver in the IBM Quantum Functions Catalog, allowing users to tackle complex optimization problems with more variables than available qubits. This solver utilizes a novel approach that combines variable-compression encoding and classical subspace diagonalization, eliminating the need for iterative quantum hardware optimization. It has demonstrated success in solving large-scale problems like 384-node MaxCut and 200-node Maximum Independent Set on IBM Quantum hardw

By Quantum Computing Report

14 November 20261 min read

Quantum Tech & Cryptography

JIJ Launches SQOA Solver in IBM Quantum Functions Catalog to Tackle Combinatorial Optimization Beyond Qubit Counts — AI-generated illustration

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JIJ Launches SQOA Solver in IBM Quantum Functions Catalog to Tackle Combinatorial Optimization Beyond Qubit Counts

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