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. Some of our representative research work are:
Gated quantum dot qubits : npj Quant. Inf. 7, 112 (2021)
Donor qubits : Adv. Mater. 2405916 (2024)
Spin-circuit QED : arXiv:2404.06187
Spin-based quantum sensors : Phys. Rev. Lett. 132, 266801 (2024)

Open quantum systems, noise & error correction

We are interested in studying Markovian master equations from first principles when open quantum systems are strongly driven. As quantum computers progress towards fault-tolerance, non-Markovian quantum processes arising from cleaner and more structured environments become important. We are also interested in bosonic codes in circuit QED systems and error correction with high-dimensional spins. Some of our representative research work are:
Information backflow : arXiv:2501.09374
Noise characterization and tomography: Nature 511, 70 (2014)

Quantum foundations

We are interested in quantum foundational questions around the emergence of classicality and contextuality through quasiprobabilities. 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 are:
Ignorance and learning of science: 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