Soumyadip Sarkar

Researcher & Engineer

Engineering @ TCS
Previously @ Deloitte
IBM Quantum Qiskit Advocate

I'm an independent researcher and engineer working where quantum computing, machine learning, and reinforcement learning overlap, with occasional detours into quantitative finance. My research spans hybrid quantum-classical learning, neural networks for quantum systems, quantum error mitigation, computer vision, and deep reinforcement learning.

Open source is a big part of how I work: I contribute features, performance improvements, and documentation across multiple projects, with a focus on high-performance computing while mostly playing with tensors and qubits.

I build and maintain open-source research tools, some of them including MiniTensor for high-performance tensor operations and automatic differentiation, qBalance for quantum compilation and error-management workflows, QuPort for modular multi-QPU circuit compilation, and balance by Meta Research for balancing biased data samples against a target population. Rest you can find here.