LiH
Emerging21papers using it
2023first seen
The 'LiH' dataset/benchmark contains data related to the lithium hydride molecule and is used to evaluate quantum algorithms for solving the ground state problem in quantum chemistry.
Papers using LiH (15)
- Accelerating Noisy Variational Quantum Algorithms with Physics-Informed Denoising NetworksVelocity Verlet-based optimization for variational quantum eigensolversAutomated near-term quantum algorithm discovery for molecular ground statesCost-effective scalable quantum error mitigation for tiled Ans\"atzeState-Specific Orbital Optimization for Enhanced Excited-States Calculation on Quantum ComputersQuantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generationMulti-Reference UCCSD Variational Quantum Algorithm for Molecular Ground State EnergiesCoupled cluster method tailored with quantum computingMolecular groundstate determination via short pulses on superconducting qubitsMinimal evolution times for fast, pulse-based state preparation in silicon spin qubitsAdaptive variational quantum computing approaches for Green's functions and nonlinear susceptibilitiesHardware-efficient variational quantum algorithm in trapped-ion quantum
computerDigital-analog quantum genetic algorithm using Rydberg-atom arraysQuantum circuit compression using qubit logic on quditsTowards Efficient Quantum Computing for Quantum Chemistry: Reducing Circuit Complexity with Transcorrelated and Adaptive Ansatz Techniques