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

Patra, Ashish Kumar et al.
arXiv (All) · Papers
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biomoleculeschemical-physicsemerging-technologiesmachine-learningquantum-physics
Sample-based quantum diagonalization (SQD), an extension of quantum selected configuration interaction (QSCI), is a promising hybrid quantum-classical paradigm for molecular ground-state energies. By replacing variational optimization with quantum sampling, QSCI avoids barren plateaus and directly r
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