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Deep Learning Analysis of Polaritonic Wave Images

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How to Simulate Quantum Measurement without Computing Marginals

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Neural network state estimation for full quantum state tomographyPreprint

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Adapting hybrid density functionals with machine learning

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Deep Learning of Quantum Many-Body Dynamics via Random Driving

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Applications of deep learning to relativistic hydrodynamics

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Machine learning nonequilibrium electron forces for spin dynamics of itinerant magnets

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Adaptive Quantum State Tomography with Active Learning

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Reconstructing Complex States of a 20 -Qubit Quantum Simulator

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Optimal thermometers with spin networks

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New Trends in Business Information Systems and Technology

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Machine-learning engineering of quantum currents

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An Improved Animal Migration Optimization Algorithm to Train the Feed-Forward Artificial Neural Networks

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Iterative Retraining of Quantum Spin Models Using Recurrent Neural NetworksPreprint

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Machine learning assisted construction of a shallow depth dynamic ansatz for noisy quantum hardware

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Hybridization of Learning Techniques and Quantum Mechanism for IIoT Security: Applications, Challenges, and Prospects

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Tensor networks for lattice gauge theories beyond one dimension

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Purifying Electron Spectra from Noisy Pulses with Machine Learning Using Synthetic Hamilton Matrices

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Visualizing quantum phases and identifying quantum phase transitions by nonlinear dimensional reduction

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Unitary Long-Time Evolution with Quantum Renormalization Groups and Artificial Neural Networks

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Natural evolution strategies and variational Monte Carlo

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Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer

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Deep learning based design of porous graphene for enhanced mechanical resilience

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Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation

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Continuous-variable Quantum Phase Estimation based on Machine Learning

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Automatic differentiable Monte Carlo: Theory and application

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A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic EquationsPreprint

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Quantum Algorithms for Quantum Molecular Systems: A Survey

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TCAS-PINN: Physics-informed neural networks with a novel temporal causality-based adaptive sampling method

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Option pricing in the Heston model with physics inspired neural networks

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Enhanced Quantum Synchronization via Quantum Machine Learning

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Entangled Quantum Dynamics of Many-Body Systems using Bohmian Trajectories

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Real time evolution with neural-network quantum states

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Unconventional dual 1D–2D quantum spin liquid revealed by ab initio studies on organic solids family

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Classification of four-qubit entangled states via machine learning

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A duplication-free quantum neural network for universal approximation

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Dilute neutron star matter from neural-network quantum states

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Comparative study of neural network and model averaging methods in nuclear β-decay half-life predictions

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Superconductivity Studied by Solving Ab Initio Low-Energy Effective Hamiltonians for Carrier Doped CaCuO2 , Bi2Sr2CuO6 , Bi2Sr2CaCu2O8 , and HgBa2CuO4

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Quantum computing for electronic structure analysis: Ground state energy and molecular properties calculations

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Quantum Metrology Assisted by Machine Learning

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Predictions for the ( n,2n ) reaction cross section based on a Bayesian neural network approach

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HEOM ‐ QUICK2 : A general‐purpose simulator for fermionic many‐body open quantum systems—An update

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Local minima in quantum systems

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A machine learning approach to the Berezinskii-Kosterlitz-Thouless transition in classical and quantum models

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Calculating Rényi entropies with neural autoregressive quantum states

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Dynamical Large Deviations of Two-Dimensional Kinetically Constrained Models Using a Neural-Network State Ansatz

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Determination of stable structure of a cluster using convolutional neural network and particle swarm optimization

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Operator learning for reconstructing flow fields from sparse measurements: An energy transformer approach

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