most citedPhysics-Informed Generative Machine Learning for Accelerated Quantum-centric Supercomputing

1 citations · 1 across the 4 of their papers we have counts for

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7 papers

quant-ph20261 cited

Physics-Informed Generative Machine Learning for Accelerated Quantum-centric Supercomputing

Chayan Patra, Dibyendu Mondal, Sonaldeep Halder +4

Quantum centric supercomputing (QCSC) framework, such as sample-based quantum diagonalization (SQD) holds immense promise toward achieving practical quantum utility to solve challe…

quant-ph2025

Operator Commutativity Screening and Progressive Operator Block Reordering toward Many-body Inspired Quantum State Preparation

Dibyendu Mondal, Debaarjun Mukherjee, Rahul Maitra

In the field of quantum chemistry, the variational quantum eigensolver (VQE) has emerged as a highly promising approach to determine molecular energies and properties within the no…

quant-ph2025

Fragment, Entangle, and Consolidate: Strong Correlation through Bi-fold Quantum Circuits

Arpan Choudhury, Sonaldeep Halder, Rahul Maitra +1

An accurate description of strong correlation is quintessential for the exploration of emerging chemical phenomena. While near-term variational quantum algorithms provide a theoret…

quant-ph2025

Efficient quantum state preparation through seniority driven operator selection

Dipanjali Halder, Dibyendu Mondal, Rahul Maitra

Quantum algorithms require accurate representations of electronic states on a quantum device, yet the approximation of electronic wave functions for strongly correlated systems rem…

quant-ph2025

Energy Landscape Plummeting in Variational Quantum Eigensolver: Subspace Optimization, Non-iterative Corrections and Generator-informed Initialization for Improved Quantum Efficiency

Chayan Patra, Rahul Maitra

Variational Quantum Eigensolver (VQE) faces significant challenges due to hardware noise and the presence of barren plateaus and local traps in the optimization landscape. To mitig…

quant-ph2025

Machine Learning Approach towards Quantum Error Mitigation for Accurate Molecular Energetics

Srushti Patil, Dibyendu Mondal, Rahul Maitra

Despite significant efforts, the realization of the hybrid quantum-classical algorithms has predominantly been confined to proof-of-principles, mainly due to the hardware noise. Wi…