Implementations of state-of-the-art quantum error-correcting codes and decoders for simulations of fault-tolerant logical operations

Quantum computers encode information with qubits. Unfortunately, qubits are subject to error. Those are physical qubits, and one will need many physical qubits to create an error-free qubit, also called a logical qubit. In this project, the university and industry researchers will work together to understand if the error rate of a logical quantum circuit will be arbitrarily suppressed by increasing the number of physical qubits. One of the key challenges is to simulate large enough systems necessitating scalable implementations of representation of quantum error-correcting codes and decoders.

Characterization of SQUID amplifiers for optical TES readout and exploring multiplexing approaches

While current work in quantum computing with near term noisy devices is promising, key applications will require a universal, error-corrected and fault tolerant quantum computer. Xanadu’s proposed architecture uses photon number resolving detectors in a modular way to create photonic qubits. The detectors are based on superconducting transition edge sensors (TES). Previously, TES has been limited to bespoke experiments mostly within university labs requiring niche specialists to operate as well as daily laborious optimization.

Development of Interactive, Online Quantum Computing Educational Material

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, it is planned to increase the students engagement and learning success. A small study will be carried out to measure the effectiveness of the new educational materials, and identify strengths and areas for improvement.

Exploring the geometry of hybrid classical-quantum algorithms optimization landscapes.

In this project the intern will work with an expert team from the company Xanadu, to explore new computational methods and approaches which could be helpful for optimizing hybrid calculations involving both classical and quantum computing combined together.

Software and Algorithms for Quantum Computational Chemistry

This project is focused on improving the theory, software and scope of applications of quantum computational chemistry. The intern will work with the company research team to further develop new theoretical methods which are under development, implement them into code as part of the existing open-source PennyLane package, and run tests for modelling the vibrational properties of a specific sample molecule. The intern will gain valuable experience working with a leading company in the field of quantum computing and will be able to lead the preparation of a journal-ready article.

Stochastic Electrodynamics Simulations using the Xanadu Quantum Cloud

The proposed project investigates an approach to solve difficult physics problems, which are too computationally intensive for standard computers, using Xanadu’s near-term quantum computers. The goal of the project is to create a simulation tool that harnesses the exponential increase in efficiency offered by quantum computers to simulate the movement of particles and the subsequent emitted radiation at the nanometer scale. These simulations could have practical implications for experiments involving optical and laser physics and could lead to further insights concerning atomic behaviour.

Large Scale Simulations of Photonic Quantum Computers

Current quantum computers are in the “NISQ”, or Noisy-Intermediate-Scale-Quantum regime. The true potential of quantum computing will only be realized when noise levels are reduced or controlled, and large scale is achieved. Xanadu’s approach is to use photonic technology as the building blocks of their machines. This project addresses two related questions concerning the future development of these machines: A - In which conditions does a photonic quantum computer reach quantum advantage (demonstrating large speedups compared to today’s most powerful conventional computers)?

Quantum Algorithms on NISQ Devices

With the small qubit devices now becoming accessible across various hardware and cloud platforms, it is imperative to find useful tasks for the devices to perform. Such devices are known as NISQ - Noisy Intermediate Scale Quantum - devices. In this regime of a few qubits, we expect the physical qubits to be noisy in the absence of sophisticated error-correction or fault-tolerant coding techniques. Therefore, it is important to understand and identify qubit algorithms that are of interest in the immediate future or near term, capable of running usefully on NISQ devices.

Frontiers in Continuous Variable Quantum Computation: From Theory to Practical Demonstration

Continuous variable (CV) encodings in photonic systems are emerging as one of the most promising avenues to near term, practical, quantum computing. In order for a CV quantum computer to outperform its classical counterparts it requires the integration of at least one “non-Gaussian” element.

Hybrid and multi-device quantum machine learning models

Over the past 2-3 years, commercial quantum computing hardware has begun to come online. While emerging quantum processing devices (QPUs) are still small and noisy compared to ideal quantum hardware, they are nevertheless expected to demonstrate quantum supremacy soon. During the same period, quantum machine learning (QML) has emerged as a rapidly expanding research field, perceived as one of the most promising algorithmic paradigms for near-term quantum computers. In this project, the candidate will leverage their skills in machine learning to carry out research in QML.