Research

Quantum computing and sensing with spins

Our interest lie in the physics of spin-based quantum computing platforms. We work on electrostatically-gated quantum dot qubits, donor-based spin qubits and spin qubits coupled via circuit quantum electrodynamics. We also work on spin-based magnetometers as quantum sensors. Some of our representative research work in these areas are:
Gated quantum dot qubits
1. npj Quant. Inf. 7, 112 (2021)
2. Nat. Commun. 5, 3020 (2014)
Donor qubits
3. Adv. Mater. 2405916 (2024)
4. Mater. Quant. Technol. 3 012501 (2023)
Circuit QED
5. Phys. Rev. A 104, 062606 (2021)
6. arXiv:2404.06187
Spin-based quantum sensors
7. Phys. Rev. Lett. 132, 266801 (2024)
8. Phys. Rev. Lett. 128, 216402 (2022)

Quantum noise and error correction

Our group is also working on quantum noise spectroscopy beyond dynamical decoupling assumptions, bosonic codes in circuit QED systems, and error correction with high-dimensional spins. Some of our representative research work in these areas are:
"Fermionic" codes
1. coming soon
Bosonic codes
2. in preparation
Noise characterization and tomography
3. Nature 511, 70 (2014)
4. Phys. Rev. B 91, 205434 (2015)

Open quantum systems

We are interested in studying Markovian master equations from first principles when open quantum systems are strongly driven. This is a situation which applies to many qubit systems. As quantum computers progress towards fault-tolerance, non-Markovian quantum processes arising from cleaner and more structured environments become important. We also study analytical and numerical techniques to understand the dynamics of an open quantum system in the non-Markovian regime. Some of our representative research work in these areas are:
Information backflow
1. arXiv:2501.09374

Emergence of classicality

We are interested in the emergence of classicality from both the decoherence and the consistent/decoherent histories frameworks. We also explore how relativity influences the emergence of classicality through the decoherence perspective. Research work in this area is coming soon.

Physics education

We are interested in the epistemic quality of teaching and learning of quantum theory, and the quality of ignorance in learning science at the boundaries of knowledge. With the emergence of generative AI in teaching and learning, we are interested in learning gains/losses and learning adaptations and learning mechanisms with gen-AI. Some of our representative research work in these areas are:
Ignorance and learning of science:
1. Science Education 107, 1 (2023)

Research Grants

Physics
2025: Signatures of non-Markovianity in driven open quantum systems
2023: Circuit quantum electrodynamics with spins: Expanding the quantum toolbox
2022: Atomic engineering of donor-based spin qubits in silicon
2021: Multiaxis quantum noise spectroscopy with Bayesian inference approach
2017: Quantum control and decoherence of silicon quantum dot spin qubits

Education
2017: Enhancing STEM education through improvisational tinkering and computational thinking

Science, Technology & Society
2020: From https to httpQ: envisioning ethics, security and trust in a world with quantum computers. (Q is for quantum)

Research Collaborations

We are part of Quantum SG, a loosely bound local quantum research community, and Nanyang Quantum Hub, the SPMS centre for quantum research at NTU. Current and recent collaborators can be found in the co-authors tab on the right here.