Quantum measurement & control · Neural quantum states · Open quantum systems simulation · Quantum information and science
I work at the intersection of quantum hardware and computational physics. My current focus is on measurement-based feedback control of quantum systems, neural variational approaches to quantum state representation, and Python tooling for quantum hardware experiments.
Working notes and derivations from David Schuster's 2007 circuit QED thesis. Covers the Jaynes-Cummings and dispersive Hamiltonians, the Cooper-pair box and transmon regimes, qubit-cavity coupling, dispersive readout, and the measurement chain, with worked derivations and simulation checks alongside the theory.
Circuit QED Superconducting Qubits Dispersive Readout LaTeX
Python pipeline for quantum hardware measurement automation. Covers instrument synchronisation, readout frequency calibration via Lorentzian fitting, single-shot IQ data acquisition with state discrimination, and an interactive ipywidgets dashboard for parameter sweeps during experiment sessions.
Python NumPy SciPy Matplotlib ipywidgets
Implementation and diagnostics for the paper Diagnosing Excited-State Failures in Neural Variational Wavefunctions: Insights from the Quantum Harmonic Oscillator (ICHM 2026). Systematically tests what happens when physical constraints - parity, nodal structure, orthogonality — are added to a neural variational ansatz, and shows why orthogonality is the only constraint that prevents variational collapse.
Python TensorFlow NumPy variational Monte Carlo neural quantum states
- Extending neural variational diagnostics to the hydrogen atom — remote collaboration with Dr. Y. P. Sarwono, BRIN Research Centre for Quantum Physics, Indonesia
- Self-directed study: Wiseman and Milburn, Quantum Measurement and Control — stochastic master equations, quantum trajectory theory, measurement-based feedback protocols
- QuTiP simulations of open quantum systems and feedback control schemes
B.Tech Electronics and Instrumentation Engineering, Manipal Institute of Technology. Research interests include quantum feedback control, neural quantum states, and quantum hardware instrumentation.