LiH

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 Networks2026Velocity Verlet-based optimization for variational quantum eigensolvers2026Automated near-term quantum algorithm discovery for molecular ground states2026Cost-effective scalable quantum error mitigation for tiled Ans\"atze2025State-Specific Orbital Optimization for Enhanced Excited-States Calculation on Quantum Computers2025Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation2025Multi-Reference UCCSD Variational Quantum Algorithm for Molecular Ground State Energies2024 · 2 citesCoupled cluster method tailored with quantum computing2023 · 1 citesMolecular groundstate determination via short pulses on superconducting qubits2024Minimal evolution times for fast, pulse-based state preparation in silicon spin qubits2024Adaptive variational quantum computing approaches for Green's functions and nonlinear susceptibilities2024Hardware-efficient variational quantum algorithm in trapped-ion quantum computer2024Digital-analog quantum genetic algorithm using Rydberg-atom arrays2024Quantum circuit compression using qubit logic on qudits2024Towards Efficient Quantum Computing for Quantum Chemistry: Reducing Circuit Complexity with Transcorrelated and Adaptive Ansatz Techniques2024