**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

## Composite Superconductors for Improved Quantum Coherence

Summary Conventional superconductors have trouble performing well in magnetic fields required for electron spin resonance (ESR) – based quantum information processing applications. We can, however, use proximity engineering to select desired properties from different materials and combine them for improved superconducting performance in magnetic fields — an improvement that would have strong implications for […]

December 12, 2018

## Rydberg Atom Array Quantum Simulator

Summary Quantum simulators enable probing the static and dynamic properties of correlated quantum many-body systems that would otherwise be numerically inaccessible using classical simulators. We are developing quantum simulators based on arrays of neutral atoms excited to Rydberg states. Such Rydberg atom arrays are advantageous for simulating the dynamics of interacting spin systems (Ising spin […]

February 27, 2020

## Materials for Majorana-based Topological Qubits

Summary Topological qubits offer a novel pathway to scalable quantum computing by simultaneously allowing for ease of coupling between qubits and strong decoupling of qubits from noise and dissipation. The most promising direction explores the topologically induced protection of theoretically predicted exotic quasiparticles, the so-called Majorana Zero Modes or MZMs. To-date MZMs, which follow […]

January 28, 2019

## Harnessing the Promise of Quantum Materials for Future Electronic Devices

Summary Two-dimensional (2D) quantum materials, such as graphene and molybdenum disulfide, have great potential for use in future flexible and wearable electronics applications. With traditional silicon-based electronics nearing their theoretical performance limits, nano-electronics made from 2D quantum materials offer breakthrough opportunities for energy-efficient, wearable ubiquitous computation. In this project, we will study integration of […]

June 14, 2018