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20232026
most citedPhysics-Informed Generative Machine Learning for Accelerated Quantum-centric Supercomputing

1 citations · 1 across the 9 of their papers we have counts for

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9 papers

quant-ph2026

Advancing Practical Quantum Embedding Simulations via Operator Commutativity Based State Preparation for Complex Chemical Systems

Dibyendu Mondal, Ashish Kumar Patra, Rahul Maitra

Determining the exponentially scaled ground state wavefunction and the associated molecular properties remains one of the central challenges in quantum chemistry. Hybrid quantum-cl…

quant-ph2026★ 1 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

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

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…

quant-ph2024

Projective Quantum Eigensolver with Generalized Operators

Dibyendu Mondal, Chayan Patra, Dipanjali Halder +1

Determination of molecular energetics and properties is one of the core challenges in the near-term quantum computing. To this end, hybrid quantum-classical algorithms are preferre…

quant-ph2024

Towards a Resource-Optimized Dynamic Quantum Algorithm via Non-iterative Auxiliary Subspace Corrections

Chayan Patra, Debaarjun Mukherjee, Sonaldeep Halder +2

Recent quantum algorithms pertaining to electronic structure theory primarily focus on threshold-based dynamic construction of ansatz by selectively including important many-body o…

quant-ph2023

Noise-independent Route towards the Genesis of a COMPACT Ansatz for Molecular Energetics: a Dynamic Approach

Dipanjali Halder, Dibyendu Mondal, Rahul Maitra

Recent advances in quantum information and quantum science have inspired the development of various compact dynamic structured ansätze that are expected to be realizable in the Noi…

quant-ph2023

Ground or Excited State: a State-Specific Variational Quantum Eigensolver for Them All

Dibyendu Mondal, Rahul Maitra

Variational Quantum Eigensolver (VQE) provides a lucrative platform to determine molecular energetics in near-term quantum devices. While the VQE is traditionally tailored to deter…