Fetching the paper…
Reading the bibliography…
Simulating quantum algorithms with classical resources generally requires exponential resources.
Simulating physics with computers
Feynman, R. P · 1982
Earlier work this paper cites.
Density matrix formulation for quantum renormalization groups
White, S. R · 1992
Earlier work this paper cites.
Finitely correlated states on quantum spin chains
Fannes, M., Nachtergaele, B. & Werner, R · 1992
Earlier work this paper cites.
Quantum Computation
DiVincenzo, D. P · 1995
Earlier work this paper cites.
Thermodynamic Limit of Density Matrix Renormalization
Östlund, S. & Rommer, S · 1995
Earlier work this paper cites.
Quantum measurements and the Abelian Stabilizer Problem
Kitaev, A. Y · 1995
Earlier work this paper cites.
Universal Quantum Simulators
Lloyd, S · 1996
Earlier work this paper cites.
Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
Shor, P · 1997
Earlier work this paper cites.
The Heisenberg Representation of Quantum Computers
Gottesman, D · 1998
Earlier work this paper cites.
Training products of experts by minimizing contrastive divergence
Hinton, G. E · 2002
Earlier work this paper cites.
Efficient classical simulation of slightly entangled quantum computations
Vidal, G · 2003
Earlier work this paper cites.
Simulating quantum computation by contracting tensor networks
Markov, I. L. & Shi, Y · 2005
Earlier work this paper cites.
Classical simulation of limited-width cluster-state quantum computation
Yoran, N. & Short, A. J · 2006
Earlier work this paper cites.
On the simulation of quantum circuits
Jozsa, R · 2006
Earlier work this paper cites.
Reducing the Dimensionality of Data with Neural Networks
Hinton, G. E. & Salakhutdinov, R. R · 2006
Earlier work this paper cites.
Efficient classical simulation of the quantum Fourier transform
Browne, D. E · 2007
Earlier work this paper cites.
Multipartite Entanglement Among Single Spins in Diamond
Neumann, P. et al · 2008
Earlier work this paper cites.
Matchgates and classical simulation of quantum circuits
Jozsa, R. & Miyake, A · 2008
Earlier work this paper cites.
Randomized benchmarking of quantum gates
Knill, E. et al · 2008
Earlier work this paper cites.
Quantum algorithms for algebraic problems
Childs, A. M. & van Dam, W · 2010
Earlier work this paper cites.
Implementing the Quantum von Neumann Architecture with Superconducting Circuits
Mariantoni, M. et al · 2011
Earlier work this paper cites.
Quantum annealing with manufactured spins
Johnson, M. W. et al · 2011
Cited alongside, same era.
On the role of entanglement in quantum-computational speed-up
Jozsa, R. & Linden, N · 2011
Cited alongside, same era.
Simulating Quantum Computers with Probabilistic Methods
Van Den Nest, M · 2011
Cited alongside, same era.
Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, New York, NY, USA, 2011), 10th edn
Nielsen, M. A. & Chuang, I. L · 2011
Cited alongside, same era.
Quantum simulations with trapped ions
Blatt, R. & Roos, C. F · 2012
Cited alongside, same era.
Localization and Glassy Dynamics Of Many-Body Quantum Systems
Carleo, G., Becca, F., Schiro, M. & Fabrizio, M · 2012
Cited alongside, same era.
Quantum Entanglement in Neural Network States
Deng, D.-L., Li, X. & Das Sarma, S · 2017
Later among the works it cites.
Machine Learning Technique to Find Quantum Many-Body Ground States of Bosons on a Lattice
Saito, H. & Kato, M · 2017
Later among the works it cites.
Solving the bose-hubbard model with machine learning
Saito, H · 2017
Later among the works it cites.
Restricted-Boltzmann-Machine Learning for Solving Strongly Correlated Quantum Systems
Nomura, Y., Darmawan, A., Yamaji, Y. & Imada, M · 2017
Later among the works it cites.
On the Equivalence of Restricted Boltzmann Machines and Tensor Network States
Chen, J., Cheng, S., Xie, H., Wang, L. & Xiang, T · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Light-cone effect and supersonic correlations in one- and two-dimensional bosonic superfluids
Carleo, G., Becca, F., Sanchez-Palencia, L., Sorella, S. & Fabrizio, M · 2014
Cited alongside, same era.
Adam: A Method for Stochastic Optimization
Kingma, D. P. & Ba, J · 2014
Cited alongside, same era.
Superconducting quantum circuits at the surface code threshold for fault tolerance
Barends, R. et al · 2014
Cited alongside, same era.
Jordan-Wigner Formalism for Arbitrary 2-input 2-output Matchgates and Their Classical Simulation
Jozsa, R., Miyake, A. & Strelchuk, S · 2015
Cited alongside, same era.
Deep learning
LeCun, Y., Bengio, Y. & Hinton, G · 2015
Cited alongside, same era.
Demonstration of a small programmable quantum computer with atomic qubits
Debnath, S. et al · 2016
Cited alongside, same era.
Efficient representation of quantum many-body states with deep neural networks
Gao, X. & Duan, L.-M · 2017
Later among the works it cites.
Becca, F. & Sorella, S · 2017
Later among the works it cites.
Quantum Chemistry Calculations on a Trapped-Ion Quantum Simulator
Hempel, C. et al · 2018
Closest in time.
Characterizing quantum supremacy in near-term devices
Boixo, S. et al · 2018
Closest in time.
64-qubit quantum circuit simulation
Chen, Z.-Y. et al · 2018
Closest in time.
Classical simulation of intermediate-size quantum circuits
Chen, J., Zhang, F., Huang, C., Newman, M. & Shi, Y · 2018
Closest in time.
Quantum supremacy circuit simulation on sunway taihulight
Li, R., Wu, B., Ying, M., Sun, X. & Yang, G · 2018
Closest in time.
Neural-Network Quantum States, String-Bond States, and Chiral Topological States
Glasser, I., Pancotti, N., August, M., Rodriguez, I. D. & Cirac, J. I · 2018
Closest in time.
Symmetries and many-body excited states with neural-network quantum states
Choo, K., Carleo, G., Regnault, N. & Neupert, T · 2018
Closest in time.
Chiral topological phases from artificial neural networks
Kaubruegger, R., Pastori, L. & Budich, J. C · 2018
Closest in time.
Constructing exact representations of quantum many-body systems with deep neural networks
Carleo, G., Nomura, Y. & Imada, M · 2018
Closest in time.
Method to solve quantum few-body problems with artificial neural networks
Saito, H · 2018
Closest in time.
Neural-network quantum state tomography
Torlai, G. et al · 2018
Closest in time.
Learning hard quantum distributions with variational autoencoders
Rocchetto, A., Grant, E., Strelchuk, S., Carleo, G. & Severini, S · 2018
Closest in time.
Latent Space Purification via Neural Density Operators
Torlai, G. & Melko, R. G · 2018
Closest in time.
NetKet (2018)
Carleo, G. et al · 2018
Closest in time.