AWS Quantum Technologies Blog

Tag: quantum computing

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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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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, […]

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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 […]

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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 […]

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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 […]

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Applying classical benchmarking methodologies to create a principled quantum benchmark suite

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 […]

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