Summary
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.
Related Content

Scanning Tunneling Microscopy of Quantum Materials, Devices and Molecules
Summary This project advances our ability to characterize and study novel quantum materials, quantum devices, and even individual molecules at the atomic level. By combining Non-Contact Atomic Force Microscopy (NC-AFM), Scanning Tunneling Microscopy (STM) and scanning gate methods, we correlate spatial information with transport properties and can locally manipulate charge, spin and structural states. […]
January 28, 2019
Folk Understanding of Quantum Physics
Summary It is often said that quantum concepts are counterintuitive. However, quantum concepts may not be equally counterintuitive to people from all cultural backgrounds. As cultural psychologists have discovered, culture fundamentally shapes the way people make sense of the world. In particular, the last few decades of research have documented cultural differences in appreciation of […]
March 24, 2021

Portable Quantum Dot Measurement System
Summary Detecting heavy metals in water is essential to ensure clean drinking water and appropriate regulatory decisions following an accident (e.g., a spill) or an emergency. Traditionally, high-sensitivity detection of heavy metals requires bulky and costly (to purchase and operate) lab-based instruments. We propose developing a palm-sized, element-specific, highly-sensitive, battery-operated, smartphone-controlled system for on-site measurement […]
July 21, 2022