Citing Articles For: From tensor-network quantum states to tensorial recurrent neural networks

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Shuang Cong and Limin Lin

Quantum-Enhanced Neural Networks for Quantum Many-Body Simulations

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Entanglement and optimization within autoregressive neural quantum states

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Time-Dependent Neural Galerkin Method for Quantum Dynamics

Alessandro Sinibaldi, Douglas Hendry, Filippo Vicentini, and Giuseppe Carleo

Phys. Rev. Lett. 136 120402 (2026)

Group convolutional neural network for the low-energy spectrum in the quantum dimer model

Ojasvi Sharma, Sandipan Manna, Prashant Shekhar Rao, and G. J. Sreejith

Phys. Rev. B 114 014408 (2026)

Neuralized fermionic tensor networks for quantum many-body systems

Si-Jing Du, Ao Chen, and Garnet Kin-Lic Chan

Phys. Rev. B 113 085134 (2026)

Hybrid between biologically and quantum-inspired many-body states

Miha Srdinšek and Xavier Waintal

Phys. Rev. B 113 125107 (2026)

Simulating non-Markovian open quantum dynamics with neural quantum states

Long Cao, Liwei Ge, Daochi Zhang, Xiang Li, Jialin Pan, Yao Wang, Rui-Xue Xu, YiJing Yan, and Xiao Zheng

Phys. Rev. B 113 L140301 (2026)

Neural quantum states for emitter dynamics in waveguide QED

Tatiana Vovk, Anka Van de Walle, Hannes Pichler, and Annabelle Bohrdt

Phys. Rev. A 113 053708 (2026)

Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications

Manas Sajjan, Vinit Singh, and Sabre Kais

npj Quantum Inf 12 93 (2026)

Adaptive neural quantum states: a recurrent neural network perspective

Jake McNaughton and Mohamed Hibat-Allah

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High-precision ground state parameters of the two-dimensional spin-1/2 Heisenberg model on the square lattice

Anders W Sandvik

J. Stat. Mech. 2026 043101 (2026)

Application of quantum-inspired tensor networks to optimize federated learning systems

Amandeep Singh Bhatia, Mandeep Kaur Saggi, and Sabre Kais

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Quantum-Assisted Variational Monte Carlo

Longfei Chang, Zhendong Li, and Wei-Hai Fang

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Efficiency of the hidden fermion determinant states Ansatz in the light of different complexity measures

Björn J. Wurst, Dante M. Kennes, and Jonas B. Profe

Phys. Rev. Research 7 023316 (2025)

Nonstabilizerness of neural quantum states

Alessandro Sinibaldi, Antonio Francesco Mello, Mario Collura, and Giuseppe Carleo

Phys. Rev. Research 7 043289 (2025)

No-Free-Lunch Theorems for Tensor Network Machine Learning Models

Jing-Chuan Wu, Qi Ye, Dong-Ling Deng, and Li-Wei Yu

Phys. Rev. Lett. 135 227301 (2025)

Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the triangular lattice

M. Schuyler Moss, Roeland Wiersema, Mohamed Hibat-Allah, Juan Carrasquilla, and Roger G. Melko

Phys. Rev. B 112 134449 (2025)

Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the square lattice

M. Schuyler Moss, Roeland Wiersema, Mohamed Hibat-Allah, Juan Carrasquilla, and Roger G. Melko

Phys. Rev. B 112 134450 (2025)

Seeding neural network quantum states with tensor network states

Ryui Kaneko and Shimpei Goto

Phys. Rev. B 112 155163 (2025)

Clifford augmented density matrix renormalization group for ab initio quantum chemistry

Lizhong Fu, Honghui Shang, Jinlong Yang, and Chu Guo

Phys. Rev. B 112 195111 (2025)

Neural network quantum states for the interacting Hofstadter model with higher local occupations and long-range interactions

Fabian Döschl, Felix A. Palm, Hannah Lange, Fabian Grusdt, and Annabelle Bohrdt

Phys. Rev. B 111 045408 (2025)

Certifying almost all quantum states with few single-qubit measurements

Hsin-Yuan Huang, John Preskill, and Mehdi Soleimanifar

Nat. Phys. 21 1834 (2025)

Hybrid Tensor Network and Neural Network Quantum States for Quantum Chemistry

Zibo Wu, Bohan Zhang, Wei-Hai Fang, and Zhendong Li

J. Chem. Theory Comput. 21 10252 (2025)

Simple Fermionic backflow states via a systematically improvable tensor decomposition

Massimo Bortone, Yannic Rath, and George H. Booth

Commun Phys 8 169 (2025)

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Articles Citing

From tensor-network quantum states to tensorial recurrent neural networks

No title available

Quantum-Enhanced Neural Networks for Quantum Many-Body Simulations

Entanglement and optimization within autoregressive neural quantum states

Time-Dependent Neural Galerkin Method for Quantum Dynamics

Group convolutional neural network for the low-energy spectrum in the quantum dimer model

Neuralized fermionic tensor networks for quantum many-body systems

Hybrid between biologically and quantum-inspired many-body states

Simulating non-Markovian open quantum dynamics with neural quantum states

Neural quantum states for emitter dynamics in waveguide QED

Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications

Adaptive neural quantum states: a recurrent neural network perspective

High-precision ground state parameters of the two-dimensional spin-1/2 Heisenberg model on the square lattice

Application of quantum-inspired tensor networks to optimize federated learning systems

Quantum-Assisted Variational Monte Carlo

Efficiency of the hidden fermion determinant states Ansatz in the light of different complexity measures

Nonstabilizerness of neural quantum states

No-Free-Lunch Theorems for Tensor Network Machine Learning Models

Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the triangular lattice

Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the square lattice

Seeding neural network quantum states with tensor network states

Clifford augmented density matrix renormalization group for ab initio quantum chemistry

Neural network quantum states for the interacting Hofstadter model with higher local occupations and long-range interactions

Certifying almost all quantum states with few single-qubit measurements

Hybrid Tensor Network and Neural Network Quantum States for Quantum Chemistry

Simple Fermionic backflow states via a systematically improvable tensor decomposition

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