AWS Quantum Technologies Blog

Tag: Quantum Annealing

Using D-Wave Leap from the AWS Marketplace with Amazon Braket Notebooks and Braket SDK

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 with Physics-Inspired Graph Neural Networks

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 […]

Community Detection using Hybrid Quantum Annealing on Amazon Braket – Part 2

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 detecting abnormal relationships between patients and providers, a finance company needs an anti-money laundering tool that can detect abnormal transactions between different entities, or a marketing company needs […]

Community Detection using Hybrid Quantum Annealing on Amazon Braket – Part 1

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 detecting abnormal relationships between patients and providers, a finance company needs an anti-money laundering tool that can detect abnormal transactions between different entities, or a marketing company needs […]

ConnectWise

Implementing a Recommendation Engine with Amazon Braket

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 […]