1 citations · 2 across the 4 of their papers we have counts for
6 papers
Stochastic Shadow Descent: Training Parametrized Quantum Circuits with Shadows of Gradients
Sayantan Pramanik, M Girish Chandra
In this paper, we focus on the task of optimizing the parameters in Parametrized Quantum Circuits (PQCs). While popular algorithms, such as Simultaneous Perturbation Stochastic App…
Parsimonious Optimisation of Parameters in Variational Quantum Circuits
Sayantan Pramanik, Chaitanya Murti, M Girish Chandra
Variational quantum circuits characterise the state of a quantum system through the use of parameters that are optimised using classical optimisation procedures that typically rely…
On Quantum-Assisted LDPC Decoding Augmented with Classical Post-Processing
Aditya Das Sarma, Utso Majumder, Vishnu Vaidya +3
Utilizing present and futuristic Quantum Computers to solve difficult problems in different domains has become one of the main endeavors at this moment. Of course, in arriving at t…
Approximate Phase Search and Eigen Estimation using Modified Grover's Algorithm
Sayantan Pramanik, M Girish Chandra, Shampa Sarkar +1
An attempt has been made in this paper to modify Grover's Algorithm to find the binary string solutions approximating a target cost value. In that direction, new Controlled Oracle…
On Sampling and Inference using Quantum Algorithms
S Ashutosh, Deepankar Sarmah, Sayantan Pramanik +1
Quantum computers are projected to handle the Gibbs sampling and the related inference on Markov networks effectively. Apart from noting the background information useful for those…
Quantum-Assisted Graph Clustering and Quadratic Unconstrained D-ary Optimisation
Sayantan Pramanik, M Girish Chandra
Of late, we are witnessing spectacular developments in Quantum Information Processing with the availability of Noisy Intermediate-Scale Quantum devices of different architectures a…