Quantum natural gradient generalised to noisy and non-unitary circuits

TL;DR

This paper extends quantum natural gradient methods to noisy and non-unitary quantum circuits using the quantum Fisher information, enabling more effective optimization in realistic quantum computing scenarios.

Contribution

It generalizes quantum natural gradient to arbitrary quantum states with non-unitary operations, employing QFI and efficient approximations for noisy quantum circuits.

Findings

The approach can significantly outperform other variational techniques in noisy circuits.

The geometry of noisy quantum states is approximately the same in Hilbert-Schmidt and QFI metrics.

Numerical simulations confirm the practicality and effectiveness of the method.

Abstract

Variational quantum algorithms are promising tools whose efficacy depends on their optimisation method. For noise-free unitary circuits, the quantum generalisation of natural gradient descent has been introduced and shown to be equivalent to imaginary time evolution: the approach is effective due to a metric tensor reconciling the classical parameter space to the device's Hilbert space. Here we generalise quantum natural gradient to consider arbitrary quantum states (both mixed and pure) via completely positive maps; thus our circuits can incorporate both imperfect unitary gates and fundamentally non-unitary operations such as measurements. We employ the quantum Fisher information (QFI) as the core metric in the space of density operators. A modification of the Error Suppression by Derangements (ESD) and Virtual Distillation (VD) techniques enables an accurate and experimentally-efficient approximation of the QFI via the Hilbert-Schmidt metric tensor using prior results on the dominant eigenvector of noisy quantum states. Our rigorous proof also establishes the fundamental observation that the geometry of typical noisy quantum states is (approximately) identical in either the Hilbert-Schmidt metric or as characterised by the QFI. In numerical simulations of noisy quantum circuits we demonstrate the practicality of our approach and confirm it can significantly outperform other variational techniques.