AWS Quantum Technologies Blog

Amazon Braket now supports verbatim compilation and native gates with IonQ

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 device. With this launch, you have the option to run your circuits on the IonQ system with no intervening compiler passes. This allows […]

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 […]

A guide to BMW’s Quantum Computing for Automotive Challenges

Post Event Update We had a great time in Munich with BMW at the Quantum Computing for Automotive Challenges event on July 20-21. Dr. Helmut Katzgraber, Sr. Practice Manager for the AWS Quantum Solutions Lab, reported: “To date, the application scope of quantum computers for real-world problems remains narrow. This is why identifying industry-relevant use […]

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 […]

Closeup coding on screen, Woman hands programming on screen laptop

Introducing the Qiskit provider for Amazon Braket

We are excited to share a solution to one of our most frequent customer requests: a Qiskit provider for Amazon Braket. Users can now take their existing algorithms written in Qiskit, a widely used open-source quantum programming SDK and, with a few lines of code, run them directly on Amazon Braket. The qiskit-braket-provider currently supports […]

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 […]