Research

Quantum Algorithms and Simulation

We are interested in efficient, scalable, and robust simulation of complex physical and chemical processes on quantum computers, focusing on long-term fault-tolerant algorithms. This line of research will elucidate the intricate interplay between correlated electronic, vibrational, and dissipative processes that underpins fundamental aspects of chemistry and physics. Targeting applications include microscopic mechanisms of photosynthetic processes, quantum material design, and chemical reaction pathways in complex systems. We are also interested in analyzing robustness and parallelism in quantum algorithms.

Hybrid Continuous-Discrete Variable Quantum Computing

Conventionally, quantum information science studies the control of discrete-variable (DV) systems such as qubits. Continuous-variable (CV) systems such as bosonic modes are ubiquitous in Nature (such as molecular vibrations, phonons in solid materials, photons in optics) and yet much less is known on how to control and utilize them. We develop full-stack theories, algorithms, protocols, and architectures to simultaneously manipulate multiple bosonic modes and qubits to fully unleash the potential of hybrid CV-DV quantum computing for various applications.

Quantum Electrical and Computer Engineering

Theories and protocols in Electrical and Computer Engineering (ECE) have been developed largely based on intuitions from classical physics. As quantum devices and signals play increasingly important roles, QIS will be indispensable to the emerging field of Quantum ECE. We are interested in investigating possible quantum advantages brought by QIS in a variety of topics including sensing/metrology/decision-making, mixed analog-digital quantum signal processing, and computer architecture.