Chemistry Simulation and Materials

2022 · 15 papers

Bayesian autotuning of Hubbard model quantum simulators
2022

Szulakowska, Dai

Chemistry Simulation and Materials
Classical and quantum machine learning applications in spintronics
2022

Ghosh, Ghosh

Chemistry Simulation and Materials
Deep Variational Quantum Eigensolver a divide-and-conquer method for solving a larger problem with smaller size quantum computers
2022

Fujii et al.

Chemistry Simulation and Materials
Digitized-Counterdiabatic Quantum Algorithm for Protein Folding
2022

Chandarana et al.

Chemistry Simulation and Materials
Generating Approximate Ground States of Molecules Using Quantum Machine Learning
2022

Ceroni et al.

Chemistry Simulation and Materials
Hamiltonian learning from time dynamics using variational algorithms
2022

Gupta et al.

Chemistry Simulation and Materials
Hybrid quantum neural network for drug response prediction
2022

Sagingalieva et al.

Chemistry Simulation and Materials
Investigating Quantum Many-Body Systems with Tensor Networks Machine Learning and Quantum Computers
2022

Kottman

Chemistry Simulation and Materials
Quantum Advantage in Small Molecule Drug Discovery
2022

Kao et al.

Chemistry Simulation and Materials
Quantum Machine Learning Framework for Virtual Screening in Drug Discovery a Prospective Quantum Advantage
2022

Mensa et al.

Chemistry Simulation and Materials
Quantum Machine Learning for Material Synthesis and Hardware Security
2022

Beaudoin et al.

Chemistry Simulation and Materials
Quantum Simulation on Noisy Superconducting Quantum Computers
2022

Ferris et al.

Chemistry Simulation and Materials
Quantum phase detection generalisation from marginal quantum neural network models
2022

Monaco et al.

Chemistry Simulation and Materials
Supervised Hamiltonian learning via efficient and robust quantum descent
2022

Zhao, Hu, Zhang

Chemistry Simulation and Materials
Variational Quantum Algorithms for Chemical Simulation and Drug Discovery
2022

Mustafa, Morapakula, Jain

Chemistry Simulation and Materials