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quant-ph2026
Quantum Hamiltonian Learning using Time-Resolved Measurement Data and its Application to Gene Regulatory Network Inference
Mohammad Aamir Sohail, Ranga R. Sudharshan, S. Sandeep Pradhan +1
We present a new Hamiltonian-learning framework based on time-resolved measurement data from a fixed local IC-POVM and its application to inferring gene regulatory networks. We int…
quant-ph2025
QubitLens: An Interactive Learning Tool for Quantum State Tomography
Mohammad Aamir Sohail, Ranga Sudharshan, S. Sandeep Pradhan +1
Quantum state tomography is a fundamental task in quantum computing, involving the reconstruction of an unknown quantum state from measurement outcomes. Although essential, it is t…
quant-ph2025
Quantum Natural Stochastic Pairwise Coordinate Descent
Mohammad Aamir Sohail, Mohsen Heidari, S. Sandeep Pradhan
Variational quantum algorithms, optimized using gradient-based methods, often exhibit sub-optimal convergence performance due to their dependence on Euclidean geometry. Quantum nat…