AWS Quantum Technologies Blog
Tag: Amazon Braket
Quantum computing research in Poland with Amazon Braket
With a host of vibrant research centers, scientists and engineers in Poland have made valuable contributions to quantum information science over the past 40 years. Today, as a large number of quantum hardware technologies are becoming available for experimentation, Polish researchers are turning to Amazon Braket – the AWS quantum computing service to test new […]
Using quantum annealing on Amazon Braket for price optimization
Combinatorial Optimization is one of the most popular fields in applied optimization, and it has various practical applications in almost every industry, including both private and public sectors. Examples include supply chain optimization, workforce and production planning, manufacturing layout design, facility planning, vehicle scheduling and routing, financial engineering, capital budgeting, retail seasonal planning, telecommunication network […]
Updates from re:Invent 2021
With so much happening at the annual re:Invent conference, it would be easy to miss some of the updates in AWS Quantum Technologies. In this post we summarize four recent announcements: a new feature that helps customers run hybrid quantum-classical algorithms more easily and with better performance, two new quantum processing units (QPUs) coming to […]
Realizing quantum spin liquid phase on an analog Hamiltonian Rydberg simulator
This week at re:Invent, we announced the future availability of a Rydberg-atom based quantum computer from QuEra Computing. Launching in 2022, it will introduce a new quantum computing paradigm to Amazon Braket, Analog Hamiltonian Simulation (AHS). AHS uses programmable quantum devices to emulate the behavior of other quantum mechanical systems. Already today, researchers in academia […]
Community Detection using Hybrid Quantum Annealing on Amazon Braket – Part 1
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 Therefore, information on this page may be outdated.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 […]
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 […]
CINECA and AWS bring new quantum computing capabilities to the Italian research community
CINECA and AWS are collaborating on a series of quantum computing research initiatives to help to accelerate the next generation of computational capabilities and enable new research in Italy. CINECA is a consortium made up of 70 Italian universities and four national research institutes to form the leading high-performance computing (HPC) research center in Italy. […]
Exploring quantum error mitigation with Mitiq and Amazon Braket
By Ryan LaRose, a researcher with Unitary Fund and Michigan State University; Nathan Shammah, CTO of Unitary Fund; Peter Karalekas, Software Engineer at the AWS Center for Quantum Computing; and Eric Kessler, Sr. Manager of Applied Science for Amazon Braket. In this blog post, we demonstrate how to use Mitiq, an open-source library for quantum […]
Setting up your local development environment in Amazon Braket
As a fully managed quantum computing service, Amazon Braket provides a development environment based on Jupyter notebooks for you to experiment with quantum algorithms, test them on quantum circuit simulators, and run them on different quantum hardware technologies. However, Amazon Braket does not restrict you to use only the managed notebooks and the AWS management […]
Generating quantum randomness with Amazon Braket
Introduction – the need for randomness Random numbers are a crucial resource used throughout modern computer science. For example, in computation, randomized algorithms give efficient solutions for a variety of fundamental problems for which no deterministic algorithms are available. This includes Monte Carlo methods that have widespread applications in science for the simulation of physical, […]