Noise enhanced performance of adiabatic quantum computing by lifting degeneracies

TL;DR

This paper demonstrates that introducing an optimal level of noise can break symmetries and degeneracies in adiabatic quantum computing, thereby enhancing success probability and fidelity.

Contribution

It reveals how noise can be harnessed to improve adiabatic quantum computing performance by lifting degeneracies, supported by analysis of artificial noise schemes.

Findings

Optimal noise level maximizes success probability

Artificial noise schemes significantly improve performance

Noise-induced symmetry breaking enhances fidelity

Abstract

We investigate the symmetry breaking role of noise in adiabatic quantum computing using the example of the CNOT gate. In particular, we analyse situations where the choice of initial configuration leads to symmetries in the Hamiltonian and degeneracies in the spectrum. We show that, in these situations, there exists an optimal level of noise that maximises the success probability and the fidelity of the final state. The effects of an artificial noise source with a time-dependent amplitude are also explored and it is found that such a scheme would offer a considerable performance enhancement.