Chemistry Simulation and Materials

2023 · 37 papers

A Universal Quantum Algorithm for Weighted Maximum Cut and Ising Problems
2023

Meli, Mannel, Lellmann

Chemistry Simulation and Materials
A blueprint for a Digital-Analog Variational Quantum Eigensolver using Rydberg atom arrays
2023

Michel et al.

Chemistry Simulation and Materials
A real neural network state for quantum chemistry
2023

Wu et al.

Chemistry Simulation and Materials
Applicability of Measurement-based Quantum Computation towards Physically-driven Variational Quantum Eigensolver
2023

Qin et al.

Chemistry Simulation and Materials
Cascaded variational quantum eigensolver algorithm
2023

Gunlycke, Hellberg, Stenger

Chemistry Simulation and Materials
Classification and emergence of quantum spin liquids in chiral Rydberg models
2023

Tarabunga et al.

Chemistry Simulation and Materials
Collis et al. 2023. Physics Simulation Via Quantum Graph Neural Network
2023

Unknown

Chemistry Simulation and Materials
Data-driven discovery of relevant information in quantum simulators
2023

Verdel et al.

Chemistry Simulation and Materials
Dual-VQE A quantum algorithm to lower bound the ground-state energy
2023

Westerheim et al.

Chemistry Simulation and Materials
Entangled embedding variational quantum eigensolver with tensor network ansatz
2023

Watanabe, Fujii, Ueda

Chemistry Simulation and Materials
Generative quantum machine learning via denoising diffusion probabilistic models
2023

Zhang et al.

Chemistry Simulation and Materials
Ground or Excited State a State-Specific Variational Quantum Eigensolver for Them All
2023

Mondal, Maitra

Chemistry Simulation and Materials
Hybrid quantum learning with data re-uploading on a small-scale superconducting quantum simulator
2023

Tolstobrov et al.

Chemistry Simulation and Materials
Hybrid quantum-classical convolutional neural networks to improve molecular protein binding affinity predictions
2023

Domingo et al.

Chemistry Simulation and Materials
Hybrid variational quantum eigensolvers merging computational models
2023

Chan et al.

Chemistry Simulation and Materials
Layering and subpool exploration for adaptive Variational Quantum Eigensolvers Reducing circuit depth runtime and susceptibility to noise
2023

Long et al.

Chemistry Simulation and Materials
Learning ground states of gapped quantum Hamiltonians with Kernel Methods
2023

Giuliani et al.

Chemistry Simulation and Materials
Leveraging Analog Quantum Computing with Neutral Atoms for Solvent Configuration Prediction in Drug Discovery
2023

DArcangelo et al.

Chemistry Simulation and Materials
Molecular docking via quantum approximate optimization algorithm
2023

Ding, Huang, Yuan

Chemistry Simulation and Materials
On The Study Of Partial Qubit Hamiltonian For Efficient Molecular Simulation Using Variational Quantum Eigensolvers
2023

Singh, Mishra, Majumder

Chemistry Simulation and Materials
Physics-Informed Quantum Machine Learning Solving nonlinear differential equations in latent spaces without costly grid evaluations
2023

Paine, Elfving, Kyriienko

Chemistry Simulation and Materials
Physics-Informed Quantum Machine Learning for Solving Partial Differential Equations
2023

Setty, Abdusalamov, Itskov

Chemistry Simulation and Materials
Quantum Annealing vs. QAOA 127 Qubit Higher-Order Ising Problems on NISQ Computers
2023

Pelofske, Bärtschi, Eidenbenz

Chemistry Simulation and Materials
Quantum Neural Network Inspired Hardware Adaptable Ansatz for Efficient Quantum Simulation of Chemical Systems
2023

Zeng et al.

Chemistry Simulation and Materials
Quantum data learning for quantum simulations in high-energy physics
2023

Nagano et al.

Chemistry Simulation and Materials
Quantum machine learning at record speed Many-body distribution functionals as compact representations
2023

Khan et al.

Chemistry Simulation and Materials
Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes
2023

Sedykh et al.

Chemistry Simulation and Materials
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models Classical and Quantum Topology Machine Learning
2023

Usatyuk, Egorov, Sapozhnikov

Chemistry Simulation and Materials
Tetris A compilation Framework for VQE Applications
2023

Jin et al.

Chemistry Simulation and Materials
Towards practical and massively parallel quantum computing emulation for quantum chemistry
2023

Shang et al.

Chemistry Simulation and Materials
Unleashed from Constrained Optimization Quantum Computing for Quantum Chemistry Employing Generator Coordinate Method
2023

Zheng et al.

Chemistry Simulation and Materials
Unleashing Quantum Simulation Advantages Hamiltonian Subspace Encoding for Resource Efficient Quantum Simulations
2023

Cheng et al.

Chemistry Simulation and Materials
Use VQE to calculate the ground energy of hydrogen molecules on IBM Quantum
2023

Qing, Xie

Chemistry Simulation and Materials
VQE-generated Quantum Circuit Dataset for Machine Learning
2023

Nakayama et al.

Chemistry Simulation and Materials
Variational Denoising for Variational Quantum Eigensolver
2023

Tran, Kikuchi, Oshima

Chemistry Simulation and Materials
Variational Gibbs State Preparation on NISQ devices
2023

Consiglio et al.

Chemistry Simulation and Materials
Variational Quantum Eigensolver for Classification in Credit Sales Risk
2023

Wisniewska, Sawerwain

Chemistry Simulation and Materials