AWS Quantum Technologies Blog
Optimization of robot trajectory planning with nature-inspired and hybrid quantum algorithms
Introduction The problem of robot motion planning is pervasive across many industry verticals, including (for example) automotive, manufacturing, and logistics. In the automotive industry, robotic path optimization problems can be found across the value chain in body shops, paint shops, assembly, and logistics, among others [1]. Typically, hundreds of robots operate in a single plant […]
Quantum error correction in the presence of biased noise
Have you ever heard about error correction? Without it, we could not obtain awe-inspiring pictures of Jupiter and its moons, conduct intelligible mobile phone calls, or have reliable computers. In this blog post, we explain the basic ideas behind error correction and how to apply it to quantum computing. In addition, we discuss how we […]
Bernoulli line and the Bloch sphere: visualizing probability and quantum states
Introduction In recent years, quantum computers have evolved from laboratory experiments available to only a handful of scientists, to research devices that are accessible worldwide through cloud services like Amazon Braket. The impact of cloud access to quantum computers is not limited to laboratory scientists and developers as it allows educators to bring these devices […]
Sprinternships with Break Through Tech Chicago and the Amazon Braket quantum computing team
During May 2022, Amazon Web Services hosted its first cohort of students participating in Break Through Tech Chicago’s annual Sprinternship. This is a micro-internship program designed to transform the career trajectories of women (cisgender and transgender) and nonbinary individuals. The program offers these students foundational work experience that prepares them for the tech workforce. Break […]
Exploring computational chemistry using Quantinuum’s InQuanto on AWS
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. […]
Suppressing errors with dynamical decoupling using pulse control on Amazon Braket
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 […]
Quantum Monte Carlo on Quantum Computers
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 […]
Introducing the Amazon Braket Algorithm Library
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 […]
Using D-Wave Leap from the AWS Marketplace with Amazon Braket Notebooks and Braket SDK
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 […]
Optimization with a Rydberg atom-based quantum processor
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 […]