What question did this study set out to answer?

To provide additional data related to the MolVQE-21 benchmark dataset for variational quantum eigensolvers.

March 26, 2026Open Access

Research data supporting "Exponential Scaling Barriers for Variational Quantum Eigensolvers"

Key Points

To provide additional data related to the MolVQE-21 benchmark dataset for variational quantum eigensolvers.
Data collection on energy, spin, and gradient for ADAPT-VQE iterations
Analysis of data structure and formatting
Use of molvqe-21 benchmark dataset
Includes detailed energy and gradient information for ADAPT-VQE runs
Provides necessary data for generating figures in associated research
Supports understanding of scaling barriers in quantum computing applications

Abstract

This data contains additional information on the molecules in the MolVQE-21 benchmark dataset. Further it contains the energy, spin and gradient information for the ADAPT-VQE runs in each ADAPT iteration, which are necessary to generate the figures in "Exponential Scaling Barriers for Variational Quantum Eigensolvers". The file dataformat. txt contains additional information about the data structure. This work was supported by the German Federal Ministry of Research, Technology and Space through the project H2Giga-DegradEL3 (grant no. 03HY110D).

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