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JIJ Launches SQOA Solver in IBM Quantum Functions Catalog to Tackle Combinatorial ...
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Fusion42 · 14 November 2026 · Fusion42 review
JIJ Inc. has integrated its SQOA Solver into IBM's Quantum Functions Catalog, allowing quantum computing users to solve combinatorial optimization problems with more variables than available qubits by using variable-compression encoding and classical subspace diagonalization. This approach bypasses the iterative quantum hardware loops, reducing noise and expanding problem size capacity on IBM Quantum systems.
This Wire brief sits within Fusion42's coverage of Deep Tech: Quantum Computing.
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Quantum software founders can now target larger combinatorial problems on IBM hardware without needing more qubits. This removes a key hardware limit and opens new enterprise use cases for your optimisation tools.
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1 source · 14 Nov 2026
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