AWS Quantum Technologies Blog

Tag: Amazon Quantum Solutions Lab

Winners announced in the Airbus-BMW Group Quantum Computing Challenge

Winners announced in the Airbus-BMW Group Quantum Computing Challenge

This post was contributed by Damian Steiger, Martin Schuetz, Alexander Opfolter, and Helmut Katzgraber The five winning teams of the Airbus and BMW Group Quantum Computing Challenge were announced today at the Q2B conference in Silicon Valley, California. The challenge, focused on tackling the most pressing applications in aviation and the automative industry, was a […]

Quantum-amenable pruning of large language models and large vision models using block coordinate descent

Quantum-amenable pruning of large language models and large vision models using block coordinate descent

Fidelity and AWS have teamed up to put their brains together and create a Combinatorial Brain Surgeon (iCBS) to operate on AI models. This innovative pruning algorithm is just what the doctor ordered for your large-scale AI needs. Check out our latest blog for the full diagnosis.

JPMorgan Chase and AWS study the prospects for quantum speedups with near-term Rydberg atom arrays

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.

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.