Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation
Peiyi Li, Ji Liu, Hrushikesh Pramod Patil, Paul Hovland, Huiyang Zhou

TL;DR
This paper introduces a novel error mitigation method combining virtual distillation with circuit cutting, enabling more effective noise reduction in quantum computations by splitting circuits and leveraging classical simulation.
Contribution
It proposes a circuit-cutting based approach to improve virtual distillation, reducing noise effects and enhancing scalability on noisy quantum devices.
Findings
Effective noise reduction demonstrated in simulations
Successful experiments on real quantum hardware
Improved scalability in quantum error mitigation
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
