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20242026
most citedTowards Practical Quantum Phase Estimation: A Modular, Scalable, and Adaptive Approach

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quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…