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Quantum Optimization: Why Your Business Needs It Now

By Murray Thom

Whether moving goods or farming land, civilizations have always sought to maximize resources, minimize costs, and improve efficiency — all practices that laid the foundation for optimization. In 1744, Swiss mathematician and physicist Leonhard Euler mentioned that nothing in the world takes place without it. From there, the discipline of optimization evolved alongside advancements in computer science, culminating today with quantum computers for optimization purposes.

D-Wave has a 25-year history of developing annealing quantum computers and continues to demonstrate excellence in optimization. We’re making impressive progress on the scalability of our quantum solutions, with commercial-grade technology capable of supporting customers’ production needs. Driven by the desire to solve real-world problems more efficiently, we’ve worked closely with customers such as Pattison Food Group, Momentum Worldwide, and SavantX with the Port of Los Angeles. Together, we’ve found quantum’s sweetest spots — driving business efficiencies, increased revenues, and innovation with powerful quantum and hybrid quantum technologies.

Quantum Technology That Strikes at the Heart of Optimization Challenges

Quantum optimization aspires to meet some of our world’s biggest challenges at a time when it’s needed most. At our 10th annual Qubits conference in June, we introduced our new nonlinear-program hybrid solver. We believe it will enable our customers to real-world challenges and provide better performance at greater scale.

This new hybrid quantum solution effectively allocates business resources in competitive and challenging conditions. Alex Condello, D-Wave’s senior director of algorithms, performance, and tools, recently demonstrated the new hybrid solver’s capabilities. He showed how it optimizes emergency response planning and logistics, finding more efficient and sustainable routes in critical situations. He also described how the solver can account for complex constraints and adapt to changes — enabling faster, more coordinated action.

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