Virtual distillation is a technique that aims to mitigate errors in noisy
quantum computers. It works by preparing multiple copies of a noisy quantum
state, bridging them through a circuit, and conducting measurements. As the
number of copies increases, this process allows for the estimation of the
expectation value with respect to a state that approaches the ideal pure state
rapidly. However, virtual distillation faces a challenge in realistic
scenarios: preparing multiple copies of a quantum state and bridging them
through a circuit in a noisy quantum computer will significantly increase the
circuit size and introduce excessive noise, which will degrade the performance
of virtual distillation. To overcome this challenge, we propose an error
mitigation strategy that uses circuit-cutting technology to cut the entire
circuit into fragments. With this approach, the fragments responsible for
generating the noisy quantum state can be executed on a noisy quantum device,
while the remaining fragments are efficiently simulated on a noiseless
classical simulator. By running each fragment circuit separately on quantum and
classical devices and recombining their results, we can reduce the noise
accumulation and enhance the effectiveness of the virtual distillation
technique. Our strategy has good scalability in terms of both runtime and
computational resources. We demonstrate our strategy's effectiveness through
noisy simulation and experiments on a real quantum device.Comment: 8 pages, 5 figure