AWS Quantum Technologies Blog

Tag: Amazon Quantum Solutions Lab

A detailed, end-to-end assessment of a quantum algorithm for portfolio optimization, released by Goldman Sachs and AWS

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

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.

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 […]

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

Combinatorial optimization problems, such as the traveling salesman problem where we are looking for an optimal path with a discrete number of variables, are pervasive across science and industry. Practical (and yet notoriously challenging) applications can be found in virtually every industry, such as transportation and logistics, telecommunications, and finance. For example, optimization algorithms help […]