Tag: AWS Center for Quantum Computing

Quantum error correction is key to building useful quantum computers. New research by Amazon & Caltech demonstrates a strategy that cuts the overhead of error correction. A lot.

Today we’re introducing Quantum algorithms: A survey of applications and end-to-end complexities. This is a comprehensive resource, designed for quantum computing researchers and customers who are looking to explore how quantum algorithms will apply to their use cases.

Today, we are introducing Palace, for PArallel, LArge-scale Computational Electromagnetics, a parallel finite element code for full-wave electromagnetics simulations. Palace is used at the AWS Center for Quantum Computing to perform large-scale 3D simulations of complex electromagnetics models and enable the design of quantum computing hardware. We developed it with support for the scalability and […]

In September 2021, we announced that AWS would be joining the OpenQASM 3 Technical Steering Committee in an effort to establish a consistent, industry-wide approach for describing quantum programs. In that blog post we also shared our plans to help extend the OpenQASM ecosystem to work with hardware being developed at the AWS Center for Quantum Computing. […]

When experimenting on a quantum computer, customers often need to program at the lower-level language of the device. Today, we are launching Braket Pulse, a feature that provides pulse-level access to quantum processing units (QPUs) from two hardware providers on Amazon Braket, Rigetti Computing and Oxford Quantum Circuits (OQC). In this blog, we present an […]

With so much happening at the annual re:Invent conference, it would be easy to miss some of the updates in AWS Quantum Technologies. In this post we summarize four recent announcements: a new feature that helps customers run hybrid quantum-classical algorithms more easily and with better performance, two new quantum processing units (QPUs) coming to […]

This post summarizes a recent research paper from the AWS Center for Quantum Computing. The paper provides an improved analysis of quantum simulation of chemical and material systems. This research shows that such simulations can be implemented using fewer elementary quantum operations than previously thought. Computer simulations enable scientists to test their intuition about the […]

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 […]

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 […]

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 […]