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Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing
Yash Vardhan Tomar, Dheeraj Peddireddy
Quantum circuit routing is a key step in compiling programs for noisy intermediate-scale quantum processors, particularly superconducting devices whose sparse fixed coupling makes…
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
Debanjan Konar, Dheeraj Peddireddy, Vaneet Aggarwal +1
Quantum machine learning researchers often rely on incorporating Tensor Networks (TN) into Deep Neural Networks (DNN) and variational optimization. However, the standard optimizati…
Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization
Dheeraj Peddireddy, Utkarsh Priyam, Vaneet Aggarwal
Variational Quantum algorithms, especially Quantum Approximate Optimization and Variational Quantum Eigensolver (VQE) have established their potential to provide computational adva…
Classical Simulation of Variational Quantum Classifiers using Tensor Rings
Dheeraj Peddireddy, Vipul Bansal, Vaneet Aggarwal
In recent times, Variational Quantum Circuits (VQC) have been widely adopted to different tasks in machine learning such as Combinatorial Optimization and Supervised Learning. With…