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Author

Rahul Maitra

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Jul 2026

Machine-Learned Compact Subspace Generation for Quantum Selected Configuration Interaction within Density Matrix Embedding Framework

This work introduces a machine-learned compact subspace generation protocol based on Restricted Boltzmann Machines, termed QSCI-RBM, and integrates it within the Density Matrix Embedding Theory (DMET) framework, highlighting that RBM-assisted configuration generation produces significantly more compact subspace while p...

A. Patra, V. AnuragK.S., Ruchika Bhat et al. · 3 citations
Jun 2026

Bridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations

This report presents a hybrid quantum-classical workflow performed on the Fujitsu FX700 ideal state-vector simulator using QARP that addresses two structural inefficiencies in quantum-sampling-based diagonalization workflows and introduces QSCI-RBM, a variant that replaces the configuration recovery of the SQD framewor...

V. AnuragK.S., A. Patra, M. Mukherjee et al. · 3 citations

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