Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Identifying quantum phase transitions with adversarial neural networks
Solving the quantum many-body problem with artificial neural networks
Minimum energy quantized neural networks
A construction of cryptography system based on quantum neural network
Quantum Machine Learning Algorithms : Read the Fine Print
Observation of a many-body dynamical phase transition with a 53-qubit quantum simulator
Quantum inspired method of feature fusion based on von Neumann entropy
Quantum advantage with shallow circuits
Machine Learning in the Phase Transition Framework
Machine learning \&artificial intelligence in the quantum domain
Bayesian Deep Learning on a Quantum Computer
Quantum machine learning: a classical perspective
Quantum Machine Learning
Deep Learning and Quantum Physics : A Fundamental Bridge
Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks
Quantum Computation by Adiabatic Evolution
Spontaneous Symmetry Breaking in Neural Networks
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information
Quantum-enhanced machine learning
Palm oil: Processing, characterization and utilization in the food industry – A review
Learning Thermodynamics with Boltzmann Machines
A Framework for Out of Memory SVD Algorithms
from an input - output table to a general equilibrium model : assessing the excess burden of indirect taxes in russia .
Activation Energies of Plasmonic Catalysts