Research Interests

Quantum Computing
Semiconductor spin qubits

Quantum dot and donor-based qubits; electron and hole spin qubits

Quantum characterization

Quantum noise spectroscopy.  Bayesian inference.
Correlated noise.

Circuit QED

Engineering useful interactions in spin-circuit QED systems.
Bosonic qubits.

site maker
Mobirise

Education Research
& Pedagogical Development

Epistemic quality of teaching and learning of quantum theory.
I am interested in understanding how the epistemic quality in the teaching and learning of quantum theory can be improved. Two diametrically opposite ways of presenting the starting point of quantum theory in an undergraduate curriculum - historical vs formalism - offer drastically different perspectives of how we got to the current state of knowledge and understanding. What are the epistemic perspectives that learners come away with, for each approach?

Pedagogies for higher education.
I am also interested in pedagogies that enhance the Physics undergraduate classroom. I have experimented successfully with augmentation and modification of classroom activities using SAMR, as well as pedagogies involving Visible Thinking.

Research Grants

Physics
2023 - 26: [MOE AcRF Tier 2; PI] Circuit Quantum Electrodynamics with Spins: Expanding the Quantum Toolbox
2022 - 25: [NRF QEP 2.0; Co-PI] Atomic Engineering of Donor-based Spin Qubits in Silicon
2021 - 24: [MOE AcRF Tier 1; PI] Multiaxis Quantum Noise Spectroscopy with Bayesian Inference Approach
2017 - 19: [MOE AcRF Tier 1; PI] Quantum Control and Decoherence of Silicon Quantum Dot Spin Qubits

Education
2017 - 20: [MOE Acad Fund; PI] Enhancing STEM Education through Improvisational Tinkering and Computational Thinking

Interdisciplinary
2020 - 22: [NTU ACE; PI] From https to httpQ: envisioning ethics, security and trust in a world with quantum computers. (Q is for quantum)

Last updated 19 Mar 2024