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James Watson
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Efficient learning of ground and thermal states within phases of matter
C Rouzé, D Stilck França, E Onorati, JD Watson
Nature Communications 15 (1), 7755, 2024
312024
Uncomputability of phase diagrams
J Bausch, TS Cubitt, JD Watson
Nature Communications 12 (1), 452, 2021
242021
The Complexity of Translationally Invariant Problems beyond Ground State Energies
JD Watson, J Bausch, S Gharibian
40th International Symposium on Theoretical Aspects of Computer Science …, 2020
202020
Computational complexity of the ground state energy density problem
JD Watson, TS Cubitt
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022
112022
Detailed Analysis of Circuit-to-Hamiltonian Mappings
JD Watson
arXiv preprint arXiv:1910.01481, 2019
112019
Uncomputably complex renormalisation group flows
JD Watson, E Onorati, TS Cubitt
Nature Communications 13 (1), 7618, 2022
82022
Polynomial-Time Classical Simulation of Noisy IQP Circuits with Constant Depth
J Rajakumar, JD Watson, YK Liu
arXiv preprint arXiv:2403.14607, 2024
72024
Quantum Algorithms for Simulating Nuclear Effective Field Theories
JD Watson, J Bringewatt, AF Shaw, AM Childs, AV Gorshkov, Z Davoudi
arXiv preprint arXiv:2312.05344, 2023
72023
Provably Efficient Learning of Phases of Matter via Dissipative Evolutions
E Onorati, C Rouzé, DS França, JD Watson
arXiv preprint arXiv:2311.07506, 2023
52023
The Complexity of Approximating Critical Points of Quantum Phase Transitions
JD Watson, J Bausch
arXiv preprint arXiv:2105.13350, 2021
52021
Exponentially Reduced Circuit Depths Using Trotter Error Mitigation
JD Watson, J Watkins
arXiv preprint arXiv:2408.14385, 2024
2024
Gibbs Sampling gives Quantum Advantage at Constant Temperatures with -Local Hamiltonians
J Rajakumar, JD Watson
arXiv preprint arXiv:2408.01516, 2024
2024
Hamiltonian Complexity in Many-Body Quantum Physics
JD Watson
UCL (University College London), 2022
2022
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