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Chaithanya Naik Mude

Chaithanya Naik Mude

PhD Student · Computer Sciences · University of Wisconsin–Madison

I am a PhD student in Computer Sciences at the University of Wisconsin–Madison, advised by Prof. Swamit Tannu. My research spans quantum error correction, error mitigation, qubit readout architectures, reinforcement learning, and quantum circuit synthesis.

Previously, I completed my M.Tech & B.Tech in Computer Science and Engineering at IIT Bombay (minors in Physics and in AI & Data Science). I am currently a Product Solutions Research Intern at Quantum Machines.

See my publications, research projects, or download my CV.

Recent

Enhanced Neutral Atom Readout with ML

238 words·2 mins
Modular, scalable ML models for neutral-atom qubit readout — 70× smaller models than state of the art, plus image denoising for fast, accurate readout.

ML for Quantum Circuit Synthesis

55 words·1 min
A unified adaptive ML model (GAIL imitation learning) for Rz/unitary synthesis and quantum compilation across dynamic hardware configurations. Ongoing.