AWS Quantum Technologies Blog
Tag: Quantum Technologies
Amazon Braket now supports verbatim compilation and native gates with IonQ
As of 05/17/2023, the ARN of the IonQ Harmony device changed to arn:aws:braket:us-east-1::device/qpu/ionq/Harmony. Therefore, information on this page may be outdated. Learn more. Previously, when customers submitted a circuit to the IonQ device on Amazon Braket, the circuit was automatically compiled to native instructions. Today, we are extending the verbatim compilation feature to IonQ’s 11-qubit […]
Announcing a research alliance between AWS and Harvard University
Quantum science is progressing rapidly: in recent decades it has emerged from textbooks to enable tools we use in everyday life, such as lasers and GPS. Amazon, which is already involved in quantum computing, recently announced the creation of the AWS Center for Quantum Networking. That effort will focus on a more overlooked facet of […]
Noise in Quantum Computing
Customers looking to solve their hardest computational problems often wonder about the production-readiness of quantum computing. They want to know when a full-scale, fault-tolerant quantum computer will be available, and what the obstacles are to achieving this ambitious goal. Current generation quantum computers are not fault-tolerant and have limited utility, but customers are experimenting with […]
Managing the cost of your experiments in Amazon Braket
Estimating the usage and cost of experiments is a key requirement for customers interacting with Amazon Braket. Customers want to have a way to track cost and usage as their algorithms run, especially for complex problems that require multiple cycles to yield a satisfactory result. Furthermore, given the wide variety of on-demand simulators and quantum […]
Announcing the AWS Center for Quantum Networking
Over the last decade, governments and technology companies have invested heavily in research and development of quantum computers that have the potential to revolutionize science and technology. While there is still a long way ahead, these investments have already transformed quantum computers: They have evolved from delicate laboratory systems accessible to only a few research […]
Solving SAT problems with the Classiq platform on Amazon Braket
Boolean satisfiability problems (SAT) are a well-known class of difficult (NP-Complete) computational problems. The process of finding solutions to these problems can be performed using quantum computers. In this post, we will describe what SAT problems are and show you how to express SAT problems with the Classiq quantum algorithm design platform. We will outline […]
Explore quantum computational advantage with Xanadu’s Borealis device on Amazon Braket
Today, we are excited to launch Borealis, a new quantum processing unit (QPU) on Amazon Braket. Borealis – a special-purpose QPU built by Xanadu – is the first publicly available quantum computer with a claim to quantum computational advantage (sometimes referred to as quantum supremacy or quantum advantage) in a peer-reviewed study. With this launch, […]
Using embedded simulators in Amazon Braket Hybrid Jobs
Today, we launched a new feature in Amazon Braket Hybrid Jobs, which allows you to run hybrid workloads with simulators that are embedded with your algorithm code. For instance, one of the simulators available in this new feature is the PennyLane Lightning GPU simulator, accelerated by NVIDIA’s cuQuantum library. In this blog post, we show […]
Accelerate hybrid quantum-classical algorithms on Amazon Braket using embedded simulators from Xanadu’s PennyLane featuring NVIDIA cuQuantum
In 2021, Amazon Braket, the fully-managed quantum computing service from AWS, launched Amazon Braket Hybrid Jobs to provide customers a convenient way to run hybrid algorithms without worrying about managing the underlying infrastructure. With features such as priority access to quantum processing units (QPUs), Amazon Braket Hybrid Jobs is designed for lower latency and faster […]
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 […]