What type of study is this?

September 10, 2025Journal of Computational ChemistryOpen Access

BenchQC: A Benchmarking Toolkit for Quantum Computation

View Full Paper

Ask AI

Bookmark

Authors

NPNia PollardNational Institute of Standards and Technology KCKamal ChoudharyNational Institute of Standards and Technology

Discussion

Member takes

Implication

Analysis benchmarks performance of variational quantum eigensolver in calculating ground-state energies, indicating key parameters like optimizers and noise models impact results.

Key Points

VQE effectively approximates ground-state energies under simulated conditions for small aluminum clusters, demonstrating high precision.
Results showed close agreement with CCCBDB benchmarks, with percent errors consistently below 0.2%, highlighting VQE's potential.
Assessment across parameters like circuit types and basis sets reveals significant variability in energy estimates tied to optimizers.
Optimizing quantum-DFT parameters is crucial for balancing computational cost and precision in quantum chemistry applications.

Cite This Study

Pollard et al. (2025) studied this question.

synapsesocial.com/papers/68c19f9154b1d3bfb60dae14 https://doi.org/10.1002/jcc.70202

View Full Paper

Ask AI

Bookmark

Implication

Analysis benchmarks performance of variational quantum eigensolver in calculating ground-state energies, indicating key parameters like optimizers and noise models impact results.

BenchQC: A Benchmarking Toolkit for Quantum Computation

Discussion

Member takes

Implication

Key Points

Cite This Study

BenchQC: A Benchmarking Toolkit for Quantum Computation

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider