Journal
PRX QUANTUM
Volume 2, Issue 1, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PRXQuantum.2.010342
Keywords
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Funding
- European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [771537]
- EPSRC
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy [EXC-2111-390814868]
- DFG [TRR80]
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The current generation of noisy intermediate-scale quantum computers introduces new opportunities for studying quantum many-body systems. It is shown in this paper that quantum circuits can provide a more efficient representation of quantum states generated under nonequilibrium quantum dynamics compared to current classical numerics. By benchmarking algorithms on classical computers and implementing (classically optimized) gates on a quantum processing unit, the authors demonstrate the effectiveness of their algorithm in capturing real-time evolution.
The current generation of noisy intermediate-scale quantum computers introduces new opportunities to study quantum many-body systems. In this paper, we show that quantum circuits can provide a dramatically more efficient representation than current classical numerics of the quantum states generated under nonequilibrium quantum dynamics. For quantum circuits, we perform both real- and imaginary-time evolution using an optimization algorithm that is feasible on near-term quantum computers. We benchmark the algorithms by finding the ground state and simulating a global quench of the transverse-field Ising model with a longitudinal field on a classical computer. Furthermore, we implement (classically optimized) gates on a quantum processing unit and demonstrate that our algorithm effectively captures real-time evolution.
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