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Hitachi Cambridge Laboratory

As seen in: Physical Review B
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Articles

Layering and subpool exploration for adaptive variational quantum eigensolvers: Reducing circuit depth, runtime, and susceptibility to noise

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By Christopher Long, Hitachi Cambridge Laboratory, J. Thomson, Kieran Dalton
| Physical Review B
Adaptive variational quantum eigensolvers (ADAPT-VQEs) are promising candidates for simulations of strongly correlated systems on near-term quantum hardware. To further improve the noise resilience of these algorithms, recent efforts have been directed towards compactifying, or layering, their Ansatz circuits. Here, we broaden the understanding of the algorithmic layering process in three ways.
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Dynamic adaptive quantum approximate optimization algorithm for shallow, noise-resilient circuits

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By Hitachi Cambridge Laboratory, Normann Mertig, Christopher Long, Nikola Yanakiev
| Physical Review B
The quantum approximate optimization algorithm (QAOA) is an appealing proposal to solve NP problems on noisy intermediate-scale quantum (NISQ) hardware. Making NISQ implementations of the QAOA resilient to noise requires short ansatz circuits with as few controlled-not (cnot) gates as possible. Here we present the dynamic adaptive quantum approximate optimization algorithm (Dynamic-ADAPT-QAOA).
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Nonclassical Advantage in Metrology Established via Quantum Simulations of Hypothetical Closed Timelike Curves

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By Hitachi Cambridge Laboratory, J. Thomson, Aidan McConnell, Paul Scherrer Institut
| Physical Review B
We construct a metrology experiment in which the metrologist can sometimes amend the input state by simulating a closed timelike curve, a worldline that travels backward in time. The existence of closed timelike curves is hypothetical. Nevertheless, they can be simulated probabilistically by quantum-teleportation circuits. We leverage such simulations to pinpoint a counterintuitive nonclassical advantage achievable with entanglement.
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