Category: 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 […]

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 […]

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 […]

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, […]

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 […]

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 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 […]

Over 3200 developers from across the PennyLane community came together to deliver impactful and creative solutions to quantum computing challenges during the virtual QHack event held February 14-25. Participants joined from 105 countries worldwide, from the high school level all the way through PhDs and professionals. AWS sponsored QHack for the second consecutive year, after […]

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 […]

In this post, we will discuss the current landscape of quantum benchmarking and introduce SupermarQ, Super.tech’s suite of application-based benchmarks designed to overcome the limitations of existing approaches. SupermarQ uses Amazon Braket for device-agnostic access to gate-based quantum processing units (QPUs), so benchmarks can highlight the heterogeneity of quantum computers and their various strengths in […]