AWS Quantum Technologies Blog

Introduction Quantum computers hold the promise of driving novel approaches to solving complex problems across multiple fields, including optimization, machine learning, and the simulation of physical systems. Researchers are already using quantum computers to explore computational chemistry problems, however the scale and capabilities of quantum devices available today is limited by noise and other factors. […]

Introduction The quantum state of a qubit is extremely fragile, as any interaction with its environment generally results in uncontrolled changes. The fragility of quantum states means that errors are a fundamental problem for quantum computers, making quantum error correction a key enabler for using quantum computing to solve large problems. However, error correction is […]

In this blog post we develop a chemistry use case by augmenting classical algorithms for Quantum Monte Carlo with quantum computers. We will explain how to run these quantum-classical hybrid algorithms using Amazon Braket. You can find the code presented in this blog post in an accompanying Jupyter notebook. Overview Accurately determining the electronic energies […]

Research scientists and quantum algorithm developers are often new to cloud computing. Their main focus during quantum algorithm development should center on writing algorithm code; however, they often spend time setting up and maintaining interactive development environments, estimating costs to run their code on classical or quantum hardware, and stitching together common subroutines. Today, we […]

Starting today, access to D-Wave products and services has fully transitioned to the AWS Marketplace, and customers can no longer access the D-Wave 2000Q and Advantage systems via Amazon Braket, the cloud computing service of AWS. In this blog, we will show how you can continue to use the Amazon Braket SDK to describe quantum […]

Amazon Braket recently launched the Aquila quantum processing unit (QPU) based on Rydberg atoms by QuEra Computing. In a previous post, we explored how researchers can use Rydberg devices to study problems and quantum phenomena in fundamental physics, for instance the emergence of a spin liquid phase [Semeghini et al., 2021]. But QuEra’s device also […]

Following the announcement of a research alliance between the AWS Center for Quantum Networking and Harvard University, a joint team of Harvard and AWS scientists published a research paper today in Science Magazine discussing production of quantum memories that can operate at higher temperatures – enabling reduced cost and increased reliability for this fundamental component […]

Quantum networks are an emerging technology that distribute entangled quantum bits to geographically separated users. These networks can enable new communication tasks such as the generation of shared cryptographic keys whose security does not depend on algorithmic complexity. This security can supplement and extend the current state-of-the-art in public key cryptography and future-proof it against […]

Introduction Quantum researchers require access to different types of quantum hardware from digital, also known as gate-based, quantum processing units (QPUs) to analog devices that are capable of addressing specific problems that are hard to solve using classical computers. Today, Amazon Braket, the quantum computing service from AWS, continues to deliver on its commitment to […]

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. […]