Joe Gibbs

According to our database, Joe Gibbs authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Exploiting symmetries in nuclear Hamiltonians for ground state preparation.

Joe Gibbs, Zoë Holmes, Paul Stevenson

Quantum Mach. Intell., June, 2025

Stone Soup Multi-Target Tracking Feature Extraction For Autonomous Search And Track In Deep Reinforcement Learning Environment.

Jan-Hendrik Ewers, Joe Gibbs, David Anderson

CoRR, March, 2025

Multi-Target Radar Search and Track Using Sequence-Capable Deep Reinforcement Learning.

Jan-Hendrik Ewers, David Cormack, Joe Gibbs, David Anderson

CoRR, February, 2025

Deep Circuit Compression for Quantum Dynamics via Tensor Networks.

Joe Gibbs, Lukasz Cincio

Quantum, 2025

2023

The power and limitations of learning quantum dynamics incoherently.

Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes

CoRR, 2023

2022

Dynamical simulation via quantum machine learning with provable generalization.

Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles

CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.

Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes

CoRR, 2022

2021

Long-time simulations with high fidelity on quantum hardware.

Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger

CoRR, 2021