QCi Scales Quantum Computing Inc. To Nearly 10,000 Variables With Dirac-3S

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 delivering a system built for practical commercial use,” said Yong Meng Sua, Chief Technology Officer of QCi. The Dirac-3S features a modular architecture designed to scale with customer requirements and address optimization challenges across industries like finance, logistics and aerospace.

Dirac-3S Achieves 9,980 Variable Quantum Optimization Scale

The Dirac-3S quantum optimization machine now solves problems involving up to 9,980 variables, a tenfold increase over Quantum Computing Inc.’s previous 1,000-variable system and a step toward tackling significantly more complex optimization challenges. This expanded capacity, demonstrated on synthetic problems with known global optima, allows the Dirac-3S to consistently find the optimal solution while other evaluated solvers struggled to achieve the same result across all tested instances.