Evaluating quantum generative models via imbalanced data classification benchmarks

no code implementations • 21 Aug 2023 • Graham R. Enos, Matthew J. Reagor, Eric Hulburd

A limited set of tools exist for assessing whether the behavior of quantum machine learning models diverges from conventional models, outside of abstract or theoretical settings.

Explainable artificial intelligence Quantum Machine Learning

Synthetic weather radar using hybrid quantum-classical machine learning

no code implementations • 30 Nov 2021 • Graham R. Enos, Matthew J. Reagor, Maxwell P. Henderson, Christina Young, Kyle Horton, Mandy Birch, Chad Rigetti

The availability of high-resolution weather radar images underpins effective forecasting and decision-making.

Benchmarking BIG-bench Machine Learning +1

Entanglement Across Separate Silicon Dies in a Modular Superconducting Qubit Device

no code implementations • 26 Feb 2021 • Alysson Gold, JP Paquette, Anna Stockklauser, Matthew J. Reagor, M. Sohaib Alam, Andrew Bestwick, Nicolas Didier, Ani Nersisyan, Feyza Oruc, Armin Razavi, Ben Scharmann, Eyob A. Sete, Biswajit Sur, Davide Venturelli, Cody James Winkleblack, Filip Wudarski, Mike Harburn, Chad Rigetti

Assembling future large-scale quantum computers out of smaller, specialized modules promises to simplify a number of formidable science and engineering challenges.

Quantum Physics

Optically-Heralded Entanglement of Superconducting Systems in Quantum Networks

no code implementations • 24 Dec 2020 • Stefan Krastanov, Hamza Raniwala, Jeffrey Holzgrafe, Kurt Jacobs, Marko Lončar, Matthew J. Reagor, Dirk R. Englund

Networking superconducting quantum computers is a longstanding challenge in quantum science.

Quantum Physics