AWS Quantum Technologies Blog
Tag: Amazon Quantum Solutions Lab
JPMorgan Chase and AWS study the prospects for quantum speedups with near-term Rydberg atom arrays
Want the details on using quantum optimization for finance? New research from Amazon QSL and JPMorgan Chase maps out pathways to quantum advantage. Their post analyzes problem classes inspired by real-world use cases, setting the stage for impactful future experiments.
Hyperparameter optimization for quantum machine learning with Amazon Braket
Check out our latest blog to learn how we implemented a cost-effective development cycle for training a hybrid quantum-classical algorithm using Amazon Braket and hyperparameter optimization.
Exploring industrial use cases in the Airbus-BMW Group Quantum Computing Challenge
Discover how Airbus and BMW Group are harnessing quantum computing to tackle industry challenges. Join the Airbus-BMW Group Quantum Mobility Quest and help shape the future of transportation.
A detailed, end-to-end assessment of a quantum algorithm for portfolio optimization, released by Goldman Sachs and AWS
In this post we’ll walk you through some key takeaways from a paper published today by scientists from Goldman Sachs and AWS describing a quantum algorithm for portfolio optimization.
Designing hybrid algorithms for neutral-atom quantum hardware using Bayesian optimization
BMW sponsors PhD students to research novel approaches to computational challenges. Today we’ll show you how they bridge the gap between academia and industry, to solve some of the hardest problems in industry using Bayesian protocols for quantum optimization problems.
Running quantum chemistry calculations using AWS ParallelCluster
This blog post is an introduction to HPC on AWS for quantum computing researchers who are seeking to compare their quantum or hybrid algorithms against classical calculations.
Graph coloring with physics-inspired graph neural networks
In this post we show how physics-inspired graph neural networks can be used to solve the notoriously hard graph-coloring problem, at scale. This can help in an huge number of familiar resource-allocation problems from sports to rental cars.
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 […]
Noise in Quantum Computing
Customers looking to solve their hardest computational problems often wonder about the production-readiness of quantum computing. They want to know when a full-scale, fault-tolerant quantum computer will be available, and what the obstacles are to achieving this ambitious goal. Current generation quantum computers are not fault-tolerant and have limited utility, but customers are experimenting with […]
A guide to BMW’s Quantum Computing for Automotive Challenges
Post Event Update We had a great time in Munich with the BMW Group at the Quantum Computing for Automotive Challenges event on July 20-21. Dr. Helmut Katzgraber, Sr. Practice Manager for the AWS Quantum Solutions Lab, reported: “To date, the application scope of quantum computers for real-world problems remains narrow. This is why identifying […]