Follow
Joe Gibbs
Joe Gibbs
PhD candidate, University of Surrey
Verified email at surrey.ac.uk
Title
Cited by
Cited by
Year
Out-of-distribution generalization for learning quantum dynamics
MC Caro, HY Huang, N Ezzell, J Gibbs, AT Sornborger, L Cincio, ...
Nature Communications 14 (1), 3751, 2023
982023
Long-time simulations for fixed input states on quantum hardware
J Gibbs, K Gili, Z Holmes, B Commeau, A Arrasmith, L Cincio, PJ Coles, ...
npj Quantum Information 8 (1), 135, 2022
78*2022
Dynamical simulation via quantum machine learning with provable generalization
J Gibbs, Z Holmes, MC Caro, N Ezzell, HY Huang, L Cincio, ...
Physical Review Research 6 (1), 013241, 2024
422024
The power and limitations of learning quantum dynamics incoherently
S Jerbi, J Gibbs, MS Rudolph, MC Caro, PJ Coles, HY Huang, Z Holmes
arXiv preprint arXiv:2303.12834, 2023
172023
High-fidelity dimer excitations using quantum hardware
NM Eassa, J Gibbs, Z Holmes, A Sornborger, L Cincio, G Hester, P Kairys, ...
Physical Review B 110 (18), 184414, 2024
42024
Exploiting symmetries in nuclear Hamiltonians for ground state preparation
J Gibbs, Z Holmes, P Stevenson
Quantum Machine Intelligence 7 (1), 1-10, 2025
22025
Deep Circuit Compression for Quantum Dynamics via Tensor Networks
J Gibbs, L Cincio
arXiv preprint arXiv:2409.16361, 2024
12024
Study of qubit correlation and dimer dynamics
N Eassa, J Cohn, Z Holmes, M Motta, N Bronn, L Cincio, A Sornborger, ...
APS March Meeting Abstracts 2023, S64. 009, 2023
2023
Long-time simulations with high fidelity on quantum hardware
Z Holmes, J Gibbs, K Gili, B Commeau, A Arrasmith, L Cincio, P Coles, ...
APS March Meeting Abstracts 2022, M40. 007, 2022
2022
The power and limitations of learning quantum dynamics incoherently
M Rudolph, Z Holmes, S Jerbi, J Gibbs, M Caro, P Coles, H Hsin-Yuan
The system can't perform the operation now. Try again later.
Articles 1–10