From the 1 of 10 linked papers with an AI index.
10 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
The paper presents large‑scale experiments on IQM’s 24‑qubit superconducting processor, using up to 16 qubits and sample‑based quantum diagonalization with various ansätze to compu…
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…
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…
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…