Research

Quantum information science (QIS) studies the control and manipulation of quantum information. It provides new perspectives to rejuvenate our understanding of the fundamental aspects of Nature, and also serves as a powerful tool to solve important practical problems with ever-increasing complexity. Combining rigorous analytical reasoning and efficient numerical approaches, our research in the QuEST group aims at developing novel QIS-inspired algorithms and framework to tackle long-lasting challenges in physical sciences and engineering.

 

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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.

 

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Hybrid Discrete-Continuous Variable QIP

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 rigorious theories and efficient schemes to simultaneously manipulate multiple bosonic modes and qubits in a hybrid fashion to fully unleash the potential of hybrid DV-CV computation and quantum information processing (QIP).

 

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Quantum 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 indispensible 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, digital-analog signal processing, and computer security.