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Demonstration of Adiabatic Variational Quantum Computing with a Superconducting Quantum Coprocessor

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arxiv 1905.03150 v1 pith:H3VRSHFK submitted 2019-05-08 quant-ph

classification quant-ph
keywords quantumadiabaticgroundvariationalalgorithmcircuitscomputingcoprocessor
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Adiabatic quantum computing enables the preparation of many-body ground states. This is key for applications in chemistry, materials science, and beyond. Realisation poses major experimental challenges: Direct analog implementation requires complex Hamiltonian engineering, while the digitised version needs deep quantum gate circuits. To bypass these obstacles, we suggest an adiabatic variational hybrid algorithm, which employs short quantum circuits and provides a systematic quantum adiabatic optimisation of the circuit parameters. The quantum adiabatic theorem promises not only the ground state but also that the excited eigenstates can be found. We report the first experimental demonstration that many-body eigenstates can be efficiently prepared by an adiabatic variational algorithm assisted with a multi-qubit superconducting coprocessor. We track the real-time evolution of the ground and exited states of transverse-field Ising spins with a fidelity up that can reach about 99%.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quantum Natural Gradient

    quant-ph 2019-09 conditional novelty 5.0 of 10

    Quantum Natural Gradient uses the Fubini-Study metric of quantum states to precondition gradient updates for variational quantum circuits, converging faster than standard optimizers in simulations.

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