6 citations · 12 across the 9 of their papers we have counts for
10 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…
One-Step Time Series Forecasting Using Variational Quantum Circuits
Payal Kaushik, Sayantan Pramanik, M Girish Chandra +1
Time series forecasting has always been a thought-provoking topic in the field of machine learning. Machine learning scientists define a time series as a set of observations record…
Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods
Sayantan Pramanik, Vishnu Vaidya, Gajendra Malviya +6
Placement of sensors on vehicles for safety and autonomous capability is a complex optimization problem when considered in the full-blown form, with different constraints. Consider…
On Classifying Images using Quantum Image Representation
Ankit Khandelwal, M Girish Chandra, Sayantan Pramanik
In this paper, we consider different Quantum Image Representation Methods to encode images into quantum states and then use a Quantum Machine Learning pipeline to classify the imag…
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…
A Quantum-Classical Hybrid Method for Image Classification and Segmentation
Sayantan Pramanik, M Girish Chandra, C V Sridhar +9
Enormous activity in the Quantum Computing area has resulted in considering them to solve different difficult problems, including those of applied nature, together with classical c…
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…