Kyle J. Ray

According to our database, Kyle J. Ray authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Metastable Dynamical Computing with Energy Landscapes: A Primer.

Christian Z. Pratt, Kyle J. Ray, James P. Crutchfield

CoRR, February, 2026

Momentum-Driven Reversible Logic Accelerates Efficient Irreversible Universal Computation.

Kuen Wai Tang, Kyle J. Ray, James P. Crutchfield

CoRR, February, 2026

Transformers learn factored representations.

Adam S. Shai, Loren Amdahl-Culleton, Casper L. Christensen, Henry R. Bigelow, Fernando E. Rosas, Alexander B. Boyd, Eric A. Alt, Kyle J. Ray, Paul M. Riechers

CoRR, February, 2026

2025

Optimal Computation from Fluctuation Responses.

Jinghao Lyu, Kyle J. Ray, James P. Crutchfield

CoRR, October, 2025

Learning Stochastic Thermodynamics Directly from Correlation and Trajectory-Fluctuation Currents.

Jinghao Lyu, Kyle J. Ray, James P. Crutchfield

CoRR, April, 2025

2023

Computing With Physical Systems

Kyle J. Ray

PhD thesis, 2023

Dynamical Computing on the Nanoscale: Superconducting Circuits for Thermodynamically-Efficient Classical Information Processing.

Christian Z. Pratt, Kyle J. Ray, James P. Crutchfield

CoRR, 2023

2022

Gigahertz Sub-Landauer Momentum Computing.

Kyle J. Ray, James P. Crutchfield

CoRR, 2022

2020

Non-Markovian Momentum Computing: Universal and Efficient.

Kyle J. Ray, Gregory Wimsatt, Alexander B. Boyd, James P. Crutchfield

CoRR, 2020

Variations on a Demonic Theme: Szilard's Other Engines.

Kyle J. Ray, James P. Crutchfield

CoRR, 2020