H_4
Emerging18papers using it
2023first seen
The 'H_4' dataset/benchmark contains a set of molecular systems used to evaluate the performance of quantum algorithms, particularly in the context of simulating strongly correlated molecular systems.
Papers using H_4 (18)
- Auxiliary-field quantum Monte Carlo method with quantum selected
configuration interactionMolecular Quantum TransformerVariational Quantum Eigensolver-Based Quantum Bootstrap Embedding for MoleculesLarge-scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical ComputingMolecular Properties in Quantum-Classical Auxiliary-Field Quantum Monte Carlo: Correlated Sampling with Application to Accurate Nuclear ForcesQuantum-Enhanced Neural Exchange-Correlation FunctionalsCompactifying the Electronic Wavefunction II: Quantum Estimators for Spin-Coupled Generalized Valence Bond Wavefunctions Applied to H4Multistate iterative qubit coupled cluster (MS-iQCC): a quantum-inspired, state-averaged approach to ground- and excited-state energiesQuantum Many-body Simulations from a Reinforcement-Learned Exponential
AnsatzData Efficient Prediction of excited-state properties using Quantum Neural NetworksQuantum annealing eigensolver as a NISQ era tool for probing strong correlation effects in quantum chemistryA quantum computing approach to fixed-node Monte Carlo using classical
shadowsElectronic Excited States from a Variance-Based Contracted Quantum
EigensolverTowards Efficient Quantum Computing for Quantum Chemistry: Reducing
Circuit Complexity with Transcorrelated and Adaptive Ansatz TechniquesUnitary Coupled-Cluster for Quantum Computation of Molecular Properties
in a Strong Magnetic FieldVerifiably Exact Solution of the Electronic Schr\"odinger Equation on
Quantum DevicesQuantum Equation of Motion with Orbital Optimization for Computing
Molecular Properties in Near-Term Quantum ComputingVariational Quantum Imaginary Time Evolution for Matrix Product State
Ansatz with Tests on Transcorrelated Hamiltonians