3 citations · 6 across the 13 of their papers we have counts for
13 papers
An Analytically Trained Variational Surrogate for Quantum Phase Estimation on NISQ Hardware
Mousumi Kundu, Ashish Kumar Patra, Anurag K. S. V. +4
Quantum Phase Estimation (QPE) is a foundational algorithm for molecular ground-state energy estimation, but its deep circuit requirements make direct hardware execution impractica…
Towards Chemically Accurate and Scalable Quantum Simulations on IQM Quantum Hardware: A Quantum-HPC Hybrid Approach
Anurag K. S. V., Ashish Kumar Patra, Manas Mukherjee +5
We present a large-scale experimental study of quantum-computing-based molecular simulation carried out on IQM's Sirius 24-qubit superconducting processor, utilizing up to 16 opera…
Quantum Detection of Sequency-Band Structure
Alok Shukla, Prakash Vedula
We present a quantum algorithm for estimating the amplitude content of user-specified sequency bands in quantum-encoded signals. The method employs a sequency-ordered Quantum Walsh…
A Modular, Adaptive, and Scalable Quantum Factoring Algorithm
Alok Shukla, Prakash Vedula
Shor's algorithm for integer factorization offers an exponential speedup over classical methods but remains impractical on Noisy Intermediate Scale Quantum (NISQ) hardware due to t…
Modular Quantum Amplitude Estimation: A Scalable and Adaptive Framework
Alok Shukla, Prakash Vedula
Quantum Amplitude Estimation (QAE) is a key primitive in quantum computing, but its standard implementation using Quantum Phase Estimation is resource-intensive, requiring a large…
Generalized tensor transforms and their applications in classical and quantum computing
Alok Shukla, Prakash Vedula
We introduce a novel framework for Generalized Tensor Transforms (GTTs), constructed through an -fold tensor product of an arbitrary unitary matrix . This constr…
Quantum algorithm for edge detection in digital grayscale images
Mohit Rohida, Alok Shukla, Prakash Vedula
In this work, we propose a novel quantum algorithm for edge detection in digital grayscale images, based on the sequency-ordered Walsh-Hadamard transform. The proposed method signi…
Towards Practical Quantum Phase Estimation: A Modular, Scalable, and Adaptive Approach
Alok Shukla, Prakash Vedula
Quantum Phase Estimation (QPE) is a cornerstone algorithm in quantum computing, with applications ranging from integer factorization to quantum chemistry simulations. However, the…
Efficient quantum algorithm for weighted partial sums and numerical integration
Alok Shukla, Prakash Vedula
This paper presents a quantum algorithm for efficiently computing partial sums and specific weighted partial sums of quantum state amplitudes. Computation of partial sums has impor…
A quantum approach for optimal control
Hirmay Sandesara, Alok Shukla, Prakash Vedula
In this work, we propose a novel variational quantum approach for solving a class of nonlinear optimal control problems. Our approach integrates Dirac's canonical quantization of d…
Efficient Implementation of a Quantum Search Algorithm for Arbitrary N
Alok Shukla, Prakash Vedula
This paper presents an enhancement to Grover's search algorithm for instances where the number of items (or the size of the search problem) is not a power of 2. By employing an…
Hybrid classical-quantum image processing via polar Walsh basis functions
Mohit Rohida, Alok Shukla, Prakash Vedula
We propose a novel hybrid classical-quantum approach for image processing based on polar Walsh basis functions. Using this approach, we present an algorithm for the removal of the…
On sequency-complete and sequency-ordered matrices
Alok Shukla, Prakash Vedula
The concept of sequency holds a fundamental significance in signal analysis using Walsh basis functions. In this study, we closely examine the concept of sequency and explore the p…