Publication | Open Access
Demonstration of Adiabatic Variational Quantum Computing with a Superconducting Quantum Coprocessor
66
Citations
34
References
2020
Year
Quantum ScienceEngineeringQuantum ComputingPhysicsQuantum Optimization AlgorithmNatural SciencesAdiabatic QuantumApplied PhysicsSuperconductivityComputer EngineeringQuantum AlgorithmQuantum Adiabatic TheoremQuantum CoprocessorQuantum EntanglementReal-time EvolutionQuantum Algorithms
Adiabatic quantum computing enables the preparation of many-body ground states. Realization poses major experimental challenges: Direct analog implementation requires complex Hamiltonian engineering, while the digitized 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 optimization 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 multiqubit superconducting coprocessor. We track the real-time evolution of the ground and excited states of transverse-field Ising spins with a fidelity that can reach about 99%.
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