Tag: Quantum Annealing

In this new post you’ll learn how Arm-based AWS Graviton processors can accelerate Simulated Quantum Annealing for nonlinear optimization problems in quantum computing.

Introduction The problem of robot motion planning is pervasive across many industry verticals, including (for example) automotive, manufacturing, and logistics. In the automotive industry, robotic path optimization problems can be found across the value chain in body shops, paint shops, assembly, and logistics, among others [1]. Typically, hundreds of robots operate in a single plant […]

Starting today, access to D-Wave products and services has fully transitioned to the AWS Marketplace, and customers can no longer access the D-Wave 2000Q and Advantage systems via Amazon Braket, the cloud computing service of AWS. In this blog, we will show how you can continue to use the Amazon Braket SDK to describe quantum […]

Combinatorial optimization problems, such as the traveling salesman problem where we are looking for an optimal path with a discrete number of variables, are pervasive across science and industry. Practical (and yet notoriously challenging) applications can be found in virtually every industry, such as transportation and logistics, telecommunications, and finance. For example, optimization algorithms help […]

As of 11/17/2022, D-Wave is no longer available on Amazon Braket and has transitioned to the AWS Marketplace. Therefore, information on this page may be outdated. Learn more. Many customers are facing the challenge of efficiently extracting information hidden within complex network structures. For example, a healthcare insurance company needs to identify fraudulent claims through […]

As of 11/17/2022, D-Wave is no longer available on Amazon Braket and has transitioned to the AWS Marketplace. Therefore, information on this page may be outdated. Learn more. Many customers are facing the challenge of efficiently extracting information hidden within complex network structures. For example, a healthcare insurance company needs to identify fraudulent claims through […]

In this blog post, we detail an approach to solving a feature selection problem that implements a recommendation engine using Amazon Braket – the quantum computing service by Amazon Web Services. Our approach tackles the “cold-start” problem that recommendation systems face, produces a solution comparable with traditional approaches, and reaches the required levels of accuracy […]