Quantum materials that exhibit strong electron correlations lead to phenomena, such as superconductivity and topologically protected states, that are important for quantum computation, sensing, and other applications. For example, we may utilize symmetry protected topological states to make qubits that are robust against decoherence, while advances in high temperature superconductors may significantly reduce losses in power distribution. However, key gaps remain in our understanding of cuprates and other strongly correlated materials.
In this project we will develop an Angle Resolved Inverse Photoemission Spectroscopy (ARIPES) tool and use it to probe unoccupied electronic states of such materials. Our objectives are to identify the correct theoretical descriptions of cuprates and other correlated materials and search for hallmarks of topological materials, such as Dirac and Weyl nodes. Furthermore, with this tool we will produce momentum-resolved maps of the unoccupied bands. This project will develop Canada’s only operational ARIPES tool, and is expected to rapidly develop our understanding of quantum materials.
Reliably operating noisy quantum computers
Summary The overall goal of the project is to develop practical methods to be able to reliably run useful applications on near-term quantum computers. This requires identifying and overcoming the ubiquitous errors that currently limit quantum computing capabilities. Traditional methods of quantifying errors in quantum computers fail to predict how errors affect the output of […]
January 22, 2020
Ultrafast Dynamical Studies of Valley-Based Qubits
Summary As monolayers, transition metal dichalcogenides (TMDCs) – such as tungsten diselenide (WSe2) – become direct-bandgap semiconductors capable of emitting light. Compared to conventional direct-bandgap semiconductors, such as III-V semiconductors like GaAs, excitons (quasiparticles made of an electron hole bound with an electron) and single-layer TMDCs (SL-TMDCs) have much stronger binding energy. Excitons and […]
June 29, 2018
Quantum State Tomography with Machine Learning
Summary An important challenge in building a quantum computer is quantifying the level of control obtained in the preparation of a quantum state. The state of a quantum device is characterized from experimental measurements, using a procedure known as tomography. Exact tomography requires a vast amount of computer resources, making it prohibitive for quantum […]
June 6, 2018
Tuning Spin-Exchange Interactions in Low-Dimensional Metal Halide Perovskites: A New Class of Semiconductor Quantum Materials
Summary Leakage current in electronic components is one of the limiting factors for the performance of conventional computers which use charges and currents as physical information carriers. Spintronics offers an alternative by using electron spin for information transfer, processing and storage, enabling the design of non-volatile computer memory and more energy-efficient electronic devices. In this […]
October 1, 2019