Address Real-World Enterprise Problems with Quantum Computing
D-Wave’s Stride™ hybrid solver combines quantum and classical computing resources to give users the ability to quickly find solutions to large optimization problems that can be hard for classical computing to solve.
The Stride hybrid solver supports up to two million variables and constraints, enabling enterprises to address computationally intensive optimization problems for business-critical workflows such as workforce scheduling, logistics routing, price optimization, production scheduling, and more.
Four Disciplines of Optimization in One Solver
D-Wave’s Stride hybrid solver is the only solution on the market that draws from four disciplines of optimization to help enterprises solve complicated computational problems, potentially transforming operations and driving bottom line ROI:
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Quantum Optimization
Leverages real-time access to advanced quantum computers to solve complex problems.
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Mixed-Integer or Linear Programming
Incorporates the best of linear programming to solve problems efficiently even as a dataset grows in size and complexity.
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Lists, Sets, and Other Combinatorial Variables
Allows for a more natural representation of users’ optimization problems, resulting in simpler and more intuitive implementations.
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Tensor Programming
Supports models that are conceptually simple and hardware efficient, reducing development and maintenance effort while enabling superior performance and scaling.
Experience Powerful Performance Enhancements
D-Wave has enhanced the core algorithm of its Stride hybrid solver to extend performance across the complex optimization problems it already supports. Benchmarks comparing the enhanced solver with its previous version demonstrated gains in solution quality and time to solution, showing the types of improvements D-Wave expects to see across a wide range of problems including:
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Traveling salesperson problems with more than 10,000 locations: Solutions averaged within 3.8% of the best possible result1 in 120 seconds and were, on average, more than 500x closer to the best possible result than the previous Stride hybrid solver using the same runtime.
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Assembly line balancing: On simple assembly line balancing problems, the enhanced solver found better solutions in 15 seconds than the previous version found in 120 seconds, demonstrating the potential to reach stronger solutions substantially sooner.
[1] Best possible results refer to reference solutions proven optimal by another solver or algorithm. Improvement factors compare enhanced Stride solver performance with previous Stride solver performance at the same runtime and measure closeness to the optimal result, not relative processing speed.
Reap the Benefits of Hybrid Technology
Available through D-Wave's Leap™ quantum cloud service, the Stride hybrid solver optimizes complex problems at industrial scale by intelligently allocating classical and quantum compute resources, freeing businesses from developing and maintaining hybrid algorithms.
- Easy to use: Developer teams familiar with Python can learn to write programs with D-Wave’s Ocean™ SDK.
- Robust optimization: The hybrid technology produces high-value solutions quickly for a wide variety of demanding optimization scenarios.
- Reliable: D-Wave's quantum cloud service has 99.9% uptime and availability, provides access to our hybrid solvers, quantum computers with sub-second response times, and has SOC 2 Type 2 compliance to support production-grade experience.
- Easy to adapt: Problem formulations for the Stride hybrid solver are simple to adapt and scale as businesses grow and change.
Practical Hybrid-Quantum Applications
Placement of Police Vehicles for Optimal Emergency Response
North Wales Police (NWP) completed of a joint proof-of technology (POT) project leveraging D-Wave’s Stride hybrid solver to optimize placement of police vehicles for emergency response. The Stride hybrid solver delivered a faster, more accurate, and more efficient solution than classical methods alone, providing NWP with the ability to reduce the average incident response time by nearly 50%. The POT also demonstrated that NWP could respond to at least 90% of incidents within their target response time.
Improving Manufacturing Efficiency
BASF, one of the world’s leading chemical companies, used the Stride hybrid solver to optimize manufacturing workflows in a BASF liquid-filling facility. The hybrid technology set a new benchmark for manufacturing efficiency at BASF, allowing reduction of production scheduling time from 10 hours to just seconds.
Optimization of Autonomous Agriculture Vehicle Movements
D-Wave built a commercial hybrid quantum application with the Stride hybrid solver to simulate and optimize the large-scale movement of autonomous agriculture vehicles for Verge Ag. As a result, Verge Ag was able to calculate machine routes in one tenth of the time it took previously.
Optimizing Database Operations
Researchers at the University of Southern California (USC) used D-Wave’s Stride hybrid solver to improve how databases determine the most effective sequence for joining large sets of data. By integrating the hybrid solver into the query planning process, USC accelerated performance and increased the speed of the query execution by up to 13x on some instances.
