Research
I am interested in several frontiers of quantum information, quantum computing and quantum control. In short, I keep busy thinking about the question of how we can maximally put good use of noisy intermediate-scale quantum (NISQ) hardware, from top-down approach (software side) and from bottom-up approach (hardware side). Here is a brief summary of each field. The articles here might not necessarily be the latest ones (see Google scholar instead).
Quantum simulations
Both digital and analog quantum simulations are of interest. In particular, I am exploring regions of space where classical computer simulation capabilities break down and quantum advantage of using quantum computers play a crucial role.
see: arXiv:2006.03070 and arXiv:2006.03075.
Hybrid quantum-classical algorithms
My research in this area centers around developing new hybrid quantum-classical algorithms to optimally profit from currently available quantum hardware.
see: arXiv:2008.07553.
Quantum hardware
A good and reliable qubit is in the heart of a quantum computer. Currently available and commonly used superconducting qubits "transmons" should be given a good twist to error resilience albeit good single-qubit and two-qubit gates fidelity, so that the fundamental building block can eventually be scaled up to thousands or millions of qubits. I am interested in how one can achieve better performance in the quantum hardware from the fundamental physics insights.
see: arXiv:1601.06006.
Quantum controlled dynamics
Fundamentally at the quantum hardware level, qubits are controlled using sophisticated pulses and they interact each other and with unwanted environment. Hence, one can take advantage of underlying quantum dynamics and obtain better performing qubits. I am interested in shortcut to adiabaticity, holonomic quantum computing, adiabatic quantum controlled dynamics, and in conjunction with how one can give a boost to NISQ devices.
see: arXiv:1811.04621 and arXiv:1712.06773.