D-Wave upgrades Stride quantum optimization software, boosts speed 8X

D-Wave Quantum Inc. has upgraded its Stride hybrid solver, and the headline number is simple. A benchmark that used to take 120 seconds to solve now takes 15.

That works out to an 8X speedup. The company says the newer version produces better solutions in that shorter window, too.

The upgrade was announced on November 4, 2026. It arrives alongside a new three-course learning path meant to teach developers how to actually use the thing.

What changed under the hood

Stride is a hybrid solver. It pairs D-Wave’s annealing quantum technology with classical computing methods to tackle large optimization problems.

The flagship result comes from the traveling salesperson problem. That is the classic puzzle of finding the shortest route that visits every location on a list exactly once.

According to D-Wave, the upgraded Stride solver handles traveling salesperson instances with up to 10,000 locations at an average error of just 0.02% from the ideal route.

The company also says the new version lands over 200 times closer to the optimal solution than its predecessor when both are given the same amount of runtime.

A cloud product with a classroom attached

Stride lives on Leap, D-Wave’s quantum cloud service. Customers do not need to own a quantum computer; they send problems to D-Wave’s systems over the internet.

Alongside the solver update, D-Wave launched an Applied Quantum Optimization learning path. It consists of three courses aimed at helping developers put Stride to work.

The prior generation of the solver went by the name nonlinear program, or hybrid_nonlinear_program_version1 in more technical terms. The source material notes that this earlier version was updated in October 2026, meaning Stride has seen multiple rounds of improvement in a short stretch.

Where D-Wave fits in the quantum race

D-Wave has built its identity around practical quantum computing. Its focus has been combinatorial challenges, the category of problems where you are choosing the best arrangement from a dizzying set of options.

The company pursues a dual approach. It works on both annealing systems, which are designed for optimization tasks, and gate-model systems, the more general-purpose architecture many rivals are chasing.

Stride is clearly part of the annealing side of the house. Its target market, as D-Wave describes it, is enterprise-scale optimization in industries such as logistics and manufacturing.

What this means for businesses and investors

A route-planning result with a 0.02% average error across 10,000 locations is the kind of number a logistics manager can understand.

Alongside the solver update, D-Wave paired the release with a training program. The research frames the education push as a way to broaden developer adoption, which could strengthen D-Wave’s position within the quantum ecosystem.

With an October update and a November upgrade back to back, D-Wave appears to be iterating quickly on Stride. For now, the company has a clean story to tell: eight times faster, more than 200 times closer to the ideal answer at equal runtime, and a curriculum to bring new developers on board.