AWS Quantum Technologies Blog
Tag: HAQM Braket
Tracking quantum experiments with HAQM Braket Hybrid Jobs and HAQM SageMaker Experiments
In this blog post, we show how you can track and manage hybrid quantum-classical experiments with the Hybrid Jobs feature in HAQM Braket and HAQM SageMaker Experiments, used by ML developers on AWS to organize their experiments and trials.
Running Jupyter notebooks as hybrid jobs with HAQM Braket
Running Jupyter notebooks as Hybrid Jobs on HAQM Braket, you get performance and convenience of jobs, without modifying code. In this post, we show how you can scale up from exploratory notebook to repeatable and reliable experiments on different quantum hardware.
Announcing the HAQM Braket Challenge winners of the QHack 2023 Hackathon
Over 2800 developers from the PennyLane community got together during the virtual QHack event in February. Today we bring you some highlights and tell you about the winning projects.
New open source tool expands access to lab-based quantum prototypes: Cloud Queue for Quantum Devices
Experimental physicists are vital to the future of quantum computing, sensing, and networking, laying the groundwork for new types of devices and enhancing the performance of existing technology. Their work, like all open science, can be accelerated through collaboration, but providing access to prototype hardware is challenging. The Cloud Queue for Quantum Devices project provides […]
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 […]
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 HAQM 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 HAQM Braket quantum computing team
During May 2022, HAQM 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 HAQM 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 HAQM Braket. You can find the code presented in this blog post in an accompanying Jupyter notebook. Overview Accurately determining the electronic energies […]