To address questions in modern physics such as “what is the structure of matter inside neutron stars?” we need better computational methods to evaluate the interplay of fundamental forces between elementary particles. To-date the response to such questions rests on numerical computer simulations that are inherently limited. In this project, we develop new theoretical tools for quantum simulations of non-Abelian problems in high energy physics (HEP), and HEP problems beyond one dimension. Our work is conducted in close collaboration with experimental groups to design robust and feasible simulation schemes that are custom-designed to particular quantum platforms. We will integrate methods from machine learning and artificial intelligence to create a conceptually new framework for hybrid quantum-classical simulations. These novel tools are expected to find useful applications beyond HEP in material science and chemistry. Through collaborations with Creative Destruction Lab and the Vector Institute we plan to accelerate the path to industry deployment.
Molecular Scale Magnetic Resonance Imaging
Through its phenomenal ability to image soft tissues, magnetic resonance imaging (MRI) has revolutionized both clinical medicine and research biomedicine.
September 9, 2016
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
Topological Quantum Computing on Majorana Platform
Full-scale quantum computing will require the capability for error-tolerant quantum information processing.
January 11, 2017
Chiral Quantum Antenna Based on Multilayer Metasurface
Summary Individual atoms can act as stationary qubits and thus serve as nodes in quantum computing networks or as memories for quantum repeaters. However, to successfully use qubits based on single atoms suspended in free space, photons emitted by a single atom need to be efficiently collected. Conventionally, this can be done with high […]
September 20, 2018