D-Wave Extends Business Value of Industry-First Quantum Hybrid Solver with New Features Supporting Weighted Constraints and Presolve Techniques
D-Wave Quantum Inc. has announced updates to its constrained quadratic model (CQM) hybrid solver within the Leap quantum cloud service. The enhancements enable the solver to tackle optimization problems involving up to one million variables and 100,000 constraints. Key improvements include support for weighted constraints and new presolve techniques that optimize problem formulation. These upgrades allow businesses to more effectively leverage quantum computing for applications across various sectors, including logistics, manufacturing, and financial services.
- Enhanced CQM hybrid solver supports optimization problems with up to 1 million variables and 100,000 constraints.
- Introduced support for weighted constraints, expanding potential use cases across multiple industries.
- New presolve techniques streamline problem formulation, improving solution quality and time-to-solution.
- None.
Expands addressable problem class and unlocks more real-world use cases for enterprises
The updated constrained quadratic model (CQM) hybrid solver from D-Wave enables quantum developers to more accurately model problems where it is not possible to satisfy all constraints. It expands the addressable use cases across various industries, e.g. logistics (employee scheduling), manufacturing (bin packing), and financial services (portfolio optimization). (Graphic: Business Wire)
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.
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
D-Wave continues to innovate on the CQM solver, first introduced in
To learn more about the updates to our CQM quantum hybrid solver, we invite you to attend the demo webinar on
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D-Wave is a leader in the development and delivery of quantum computing systems, software, and services, and is the world’s first commercial supplier of quantum computers—and the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society. We do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Wave’s technology is being used by some of the world’s most advanced organizations, including NEC Corporation,
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