Johnnie Gray Hyper Optimized Tensor

Johnnie Gray Hyper Optimized Tensor Information Guide

1. Background of Johnnie Gray Hyper Optimized Tensor
2. Important Facts
3. History
4. Expert Insights
5. Final Thoughts

Background of Johnnie Gray Hyper Optimized Tensor

Title: Combined picture quantum dynamics on arbitrary graphs with Fulvio Gesmundo (Max Planck Institute for Mathematics in the Sciences) ... A talk by Bryan O'Gorman at the 14th Conference on the Theory of Quantum Computation, Communication and Cryptography ... This is my PhD Confirmation talk, given yesterday at the University of Queensland. My supervisor is Ian McCulloch: ... Authors: Joonho Lee, Dominic Berry, Craig Gidney, William Huggins, Jarrod McClean, Nathan Wiebe and Ryan Babbush ... Ravi Kannan, Microsoft Research India Succinct Data Representations and Applications ...

Arturo Acuaviva, Visu Makam, Harold Nieuwboer, David Pérez-García, Friedrich Sittner, Michael Walter and Freek Witteveen. Artur Garcia Saez – Barcelona Supercomputing Center Workflows Community Summit 2022 ...

Important Facts

History

Bryan O'Gorman: Parametrization of tensor network contraction

Isometric Tensor Networks & Gauge Fixing - Quantum Physics Confirmation Talk

Dominic Berry: Efficient quantum computation of chemistry through tensor hypercontraction

QIP2021 | Efficient quantum computation of chemistry through tensor hypercontraction (Dominic Berry)

Optimizing with Tensors

Tensor software and algorithms for quantum simulation by Edgar Solomonik, University of Illinois

QIP2023 | The minimal canonical form of a tensor network (Freek Witteveen)

WCS 2022: Tensor Networks for Quantum Simulation

Expert Insights

Data is compiled from public records and verified media reports.

Last Updated: June 24, 2026

Final Thoughts

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.