ArticleACS omega2025
Accuracy and Potential of Hardware-Efficient Ansätze for Molecular Ground and Excited State Electronic Structure Calculations: Benchmark and Analysis of High-Depth Quantum Circuits.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Physics-Informed Machine Learning Correction of Variational Quantum Eigensolver Energies for Molecular Ground States.ACS omega · 2026Article
- Quantum Computing Calculations of Protein-Ligand Binding Energies Using Decomposition Methods on Simulated and Real Quantum Hardware.Journal of chemical information and modeling · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The variational quantum eigensolver (VQE) algorithm has positioned quantum chemistry calculation methods as promising applications for noisy intermediate-scale quantum (NISQ) devices. In NISQ devices, where the quantum noise is considerable, it is desirable to have an ansatz for the quantum circuit that is practical to implement and capable of achieving high chemical accuracy. Hardware-efficient
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Registered trials
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