Quantum algorithms for sensing and network control

What I work on

I study how interaction and control constraints affect quantum sensing, and how finite memory coherence affects quantum-network performance. In sensing, I use numerical simulation and classical optimization to design probe states and readout circuits for dipolar-interacting spins. In networking, I train link-layer control policies and compare entanglement-swapping protocols under memory decoherence. My work combines Python-based simulations, variational quantum algorithms, reinforcement learning, and parameter sweeps on the Pitt CRC computing cluster.

Before Pittsburgh

I completed an integrated BS-MS in physics at IISER Bhopal. My thesis with Dr. Rohan Singh examined two-dimensional coherent spectroscopy with chirped and unchirped pulses. I solved optical Bloch equations numerically and gained experience with an ultrafast spectroscopy setup. I also worked with Dr. Ankur Raina on a measurement-based surface-code encoder. An earlier internship with Dr. Srijit Bhattacharjee at IIIT Allahabad introduced me to quantum information through entanglement entropy in coupled harmonic oscillators.

Away from the terminal

Fiction and non-fiction in roughly equal measure, anime that takes its premises seriously, and treks whenever the calendar allows.