D-Wave Extends Business Value of Industry-First Quantum Hybrid Solver with New Features Supporting Weighted Constraints

D-Wave Quantum – a global leader in quantum computing software, services, and systems, and the only quantum computing company building both annealing and gate model quantum computers – announced two key updates to its constrained quadratic model (CQM) hybrid solver in the Leap quantum cloud service. The CQM hybrid solver can address real-world commercial-scale optimization problems of up to one million variables (including continuous variables) and 100,000 constraints. With today’s updates, businesses now can further leverage the power of quantum computation to run quadratic optimization problems with weighted constraints and benefit from presolve techniques that streamline and simplify problem formulation.

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“As more companies turn to quantum computing today to solve their increasingly complex business challenges, they’re seeking ways to quickly and efficiently codify problems in order to expedite time-to-solution”

The updated CQM solver allows quantum developers to better represent commercial problems, enabling them to more easily and accurately model problems where it is not possible to satisfy all constraints through classical computing logic. For example, in an employee scheduling scenario where employees should work 8 hours per shift with optional overtime, the solver is now able to allow for a soft “weighted” constraint of <8 hours and a hard constraint of <12 hours, thereby increasing the utility of the proposed solution. Support for weighted constraints enables developers to unlock new use cases as well as expand the applicability of existing use cases across various industries, e.g. energy (electrical grid optimization), logistics (scheduling), shipping (bin packing), and financial services (portfolio optimization), while improving time-to-solution and easing problem formulation.

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In addition to supporting weighted constraints, the updated CQM solver introduces a new set of fast classical algorithms that reduces the size of the problem and allows for larger models to be submitted to the hybrid solver. Presolve techniques remove unnecessary variables and constraints to achieve a cleaner dataset, resulting in better quality solutions by narrowing the problem set/size and streamlining problem formulation. ​These techniques are now automatically applied to all CQM problems in the CQM solver in Leap and are also available in the Ocean SDK​.

“As more companies turn to quantum computing today to solve their increasingly complex business challenges, they’re seeking ways to quickly and efficiently codify problems in order to expedite time-to-solution,” said Murray Thom, vice president of product management at D-Wave. “These enhancements to our CQM solver, which were driven in large part by our customers’ feedback, are designed to accelerate the quantum-hybrid workflow and help companies more quickly derive business value from quantum computing.”

D-Wave continues to innovate on the CQM solver, first introduced in October 2021, to meet customer and market commercial application needs. The CQM solver enables users to benefit from a simplified expression of their constrained problems by directly incorporating problem constraints. With the CQM solver, customers can address larger and more complex real-world business problems. In addition to today’s update, D-Wave added support of continuous variables to the CQM solver in May 2022.

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