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02 · Research
Qydra in the Virtual Cell Challenge
Researcher · Yale School of Engineering and Applied Science · New Haven, Connecticut
Participating in the Virtual Cell Challenge at the Yale School of Engineering and Applied Science with Qydra, a system that uses hybrid quantum computing to predict how cells respond to perturbations.
A glimpse of the work: PyTorch pipelines that bring quantum circuits into the model, and the data workflows behind them. As of November 2, 2026, Qydra is ranked in the top 300 in the challenge.
A look at the work
- Engineering PyTorch pipelines that integrate Parameterized Quantum Circuits (PQCs) as trainable nonlinear transformations.
- Working on Qydra, the hybrid quantum-classical model the team entered in the Virtual Cell Challenge.
Hybrid quantum-classical · Virtual Cell Challenge · Perturbation prediction · Parameterized quantum circuits · PyTorch
Questions about this work? shashish.v.vasireddi@gmail.com