Adaptive VQE exhibits exponential growth in iterations and circuit depth with system size, accurately predicted by classical Rényi entropy on molecules with 4-10 orbitals.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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quant-ph 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Operator elimination in ADAPT-VQE plus OBDF downfolding reduces iteration count and circuit depth while moving energies closer to FCI on H6 variants and N2 within fixed active spaces.
Noise in LUCJ sampling for QSCI on N2 expands the configuration space beyond the ideal ansatz and, when paired with recovery, produces more accurate CI energies than noiseless sampling.
citing papers explorer
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Exponential Scaling Barriers for Variational Quantum Eigensolvers
Adaptive VQE exhibits exponential growth in iterations and circuit depth with system size, accurately predicted by classical Rényi entropy on molecules with 4-10 orbitals.
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Reducing quantum resources for ADAPT-VQE via plateau-operator elimination and correlated mean-field downfolding
Operator elimination in ADAPT-VQE plus OBDF downfolding reduces iteration count and circuit depth while moving energies closer to FCI on H6 variants and N2 within fixed active spaces.
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Noise and Configuration Recovery Impact on Quantum Selected Configuration Interaction
Noise in LUCJ sampling for QSCI on N2 expands the configuration space beyond the ideal ansatz and, when paired with recovery, produces more accurate CI energies than noiseless sampling.