Disorder Enhanced Quantum Process Tomography using Quantum Light

TL;DR

This paper explores how disorder can enhance quantum process tomography using quantum light, revealing that disorder can improve accuracy contrary to traditional beliefs, through numerical simulations and theoretical analysis.

Contribution

It demonstrates that disorder can improve quantum process tomography accuracy with quantum light, challenging conventional views and suggesting new approaches for chemical systems.

Findings

Disorder enhances the accuracy of quantum process tomography with quantum light.

Quantum light can outperform classical methods in disordered systems.

Numerical simulations support the theoretical prediction of disorder's beneficial role.

Abstract

Quantum process tomography might be the most important paradigm shift which has yet to be translated fully into theoretical chemistry. Its fundamental strength, long established in quantum information science, offers a wealth of information about quantum dynamic processes which lie at the heart of many (if not all) chemical processes. However, due to its complexity its application to real chemical systems is currently beyond experimental reach. Furthermore, it is susceptible to errors due to experimental and theoretical inaccuracies and disorder has long been thought to be an obstacle in its applicability. Here, I present the first results of a study into the use of quantum light for quantum process tomography. By using a toy model and comparing numerical simulations to theoretical predictions the possible enhancement of using non-conventional light is studied. It is found, however, that disorder is necessary make the use of quantum light suitable for process tomography and that, in contrast to conventional wisdom, disorder can make the results more accurate than in an ordered system.