AWS Quantum Computing Blog

Category: Thought Leadership

The AWS Center for Quantum Computing is located on the Caltech campus in Pasadena, CA

Announcing the opening of the AWS Center for Quantum Computing

What if by harnessing the properties of quantum mechanics we could model and simulate the behavior of matter at its most fundamental level, down to how molecules interact? The machine that would make that possible would be transformative, changing what we know about science and how we probe nature for answers. Quantum computers have the […]

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Exploring Simon’s Algorithm with Daniel Simon

Introduction Customers exploring quantum computing often rely on existing algorithms to learn the basics or evaluate new services. Amazon Braket includes many such algorithms in its SDK and managed notebooks. In this post, we will explore one of the first quantum algorithms invented, and a new addition to our Amazon Braket examples: Simon’s algorithm. We […]

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Amazon Braket

AWS joins the OpenQASM 3.0 Technical Steering Committee

In the early 1990s, James Gosling introduced the Java programming language. One of the key advantages to Java was that programmers could write code once and have it run on many different backends, without needing to concern themselves with the underlying hardware. This was enabled by an intermediate representation called Java bytecode. Java programs were […]

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a diagram of 2 independent quantum processing units combined with a classical extractor to generate fully random bits

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, […]

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Graphic of a Wigner functions of (a) a GKP state with 10 dB GKP squeezing (b) a GKP state with 12 dB GKP squeezing.

Low-overhead quantum computing with Gottesman-Kitaev-Preskill qubits

Introduction This post summarizes a research paper from the AWS Center for Quantum Computing that proposes a direction to implement fault-tolerant quantum computers with minimal hardware overhead. This research shows that by concatenating the surface code with Gottesman, Kitaev, and Preskill (GKP) qubits, it is theoretically possible to achieve a logical error rate of 10-8 […]

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Cat codes on Bloch sphere

Designing a fault-tolerant quantum computer based on Schrödinger-cat qubits

At the AWS Center for Quantum Computing, we are doing scientific research and development on quantum computing algorithms and hardware. This post summarizes findings from our first architecture paper that describes a theoretical blueprint for a fault-tolerant quantum computer that features a novel approach to quantum error correction (QEC). Fair warning, this post dives somewhat […]

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Working with PennyLane for variational quantum algorithms and quantum machine learning

The field of quantum computing today resembles the state of machine learning a few decades ago – in many ways. Near-term quantum algorithms for optimization, computational chemistry, and other applications are based on the very same principles that are used to train a neural network. In machine learning, there was no theoretical proof that a […]

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