D-Wave Expands Quantum Optimization Offerings with Hybrid Solvers Amidst Growing Customer Adoption

D-Wave Quantum Inc. announced new initiatives at its Qubits 2025 conference to expand adoption and deployment of its quantum optimization technology, highlighting increased demand from end-users, independent software vendors, system integrators, and resellers.

The company introduced hybrid quantum solver capabilities supporting continuous variables and expanded use cases such as workforce scheduling, portfolio optimization, and maintenance repair operations. These advancements aim to address complex optimization challenges across industries, with examples including Ford Otosan’s application in automotive manufacturing and NTT DOCOMO’s use in mobile network performance optimization.

D-Wave Quantum Inc. has introduced several initiatives aimed at accelerating the adoption of its quantum optimization technology. The company highlighted growing demand from end-users, independent software vendors (ISVs), system integrators (SIs), and resellers seeking solutions to complex optimization challenges that traditional computing systems struggle to address efficiently.

A key update includes enhancements to D-Wave’s hybrid quantum solvers, with the introduction of support for continuous variables in its nonlinear solver. This expansion enables the solver to tackle a broader range of real-world problems, such as budget allocation and resource distribution, where decisions interact dynamically. The upgrade also allows models previously limited to constrained quadratic models (CQMs) to be submitted to the nonlinear solver, improving usability and applicability.

D-Wave is also expanding its portfolio of quantum optimization use cases beyond existing applications like workforce scheduling and logistics routing. New applications include offer allocation for rebate programs, portfolio optimization for financial institutions, and maintenance repair operations (MRO) optimization across manufacturing and supply chain sectors. These additions reflect the versatility of quantum optimization in addressing diverse challenges.

The company has emphasized the importance of these updates in helping organizations achieve tangible operational efficiencies and cost savings. D-Wave is positioning itself as a leader in quantum innovation by providing tools to model and solve complex problems more effectively.

Updates to Hybrid Quantum Solvers

D-Wave has introduced updates to its hybrid quantum solvers, including support for continuous variables in its nonlinear solver. This enhancement allows the solver to address a broader range of optimization problems where decisions interact dynamically, such as budget allocation and resource distribution. The upgrade also enables models previously limited to constrained quadratic models (CQMs) to be submitted to the nonlinear solver, improving usability and expanding applicability.

D-Wave has expanded its portfolio of quantum optimization use cases beyond traditional applications like workforce scheduling and logistics routing. New applications include offer allocation for rebate programs, portfolio optimization for financial institutions, and maintenance repair operations (MRO) optimization across manufacturing and supply chain sectors.

For example, D-Wave’s technology enables companies to optimize rebate programs by analyzing complex variables such as customer behavior, product demand, and pricing strategies. Similarly, financial institutions can leverage quantum optimization to enhance portfolio management by evaluating risk factors, return projections, and market volatility with greater precision. In the manufacturing sector, MRO optimization allows organizations to streamline maintenance schedules, reduce downtime, and lower operational costs.