Current Research Project: Artificial Quantum Reservoirs for Time-Series Quantum Computing

As the development of quantum computing technology progresses, a key issue is the ability to identify and reconstruct descriptions of the state and properties of quantum systems. While there currently exists methods to achieve this goal, namely quantum state and process tomography, these methods are susceptible to compounding errors in the estimation of specific properties of interest about the system.

In recent years, Quantum Reservoir Computing (QRC) has show promise in its capability to extract information about the properties of interest of quantum systems directly, without the need to reconstruct a complete description of the system. During the course of my PhD, I will be developing and testing methods of applying QRC to quantum systems with the goal of accurately and efficiently computing the values of properties of interest about the system.

Biography:

My name is Matthew Mackinnon and I am a PhD student with Queen's University Belfast undertaking research in the use of Machine Learning in the context of Quantum Information Processing. I graduated from Queen's in 2022 with 1st Class Honours in Applied Mathematics and have spent a number of years working as a software developer with a civil engineering company called RPS, developing machine learning algorithms, databases and interactive software to automate and assist with operations run by the company. Outside of my work, I enjoy hobbies such as gardening, reading, cooking and gaming, as well as taking part in sports such as golf, Brazilian Jiu-Jitsu and bouldering.

Supervisors:

Professor Mauro Paternostro