aiqbench analysis
QCi's Dirac-3S represents a significant scaling milestone for quantum optimization, moving from proof-of-concept demonstrations to practical commercial deployment for complex problems involving nearly 10,000 variables. By validating performance against classical solvers like Hexaly and Projected Gradient Descent, the company demonstrates that its modular architecture can consistently find optimal solutions where other methods struggle. This advancement highlights the growing viability of quantum hardware for specific industrial applications in finance, logistics, and aerospace ahead of expected customer shipments in late 2026.
QCi scales Quantum Computing Inc. to nearly 10,000 variables with Dirac-3S

Quantum Computing Inc. advances its Dirac-3S, scaling quantum optimization to nearly 10,000 variables—a 10x increase.
Quantum Computing Inc. has scaled its Dirac-3 quantum optimization machine to handle nearly 10,000 variables with the new Dirac-3S, a ten-fold increase over its previous 1,000-variable system, QCi says. The company reports the advance delivers faster performance and improved solution quality for increasingly complex optimization problems, with initial customer shipments expected in November 2026. “Dirac-3S takes our quantum optimization platform from demonstrating what is possible to…
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