Lead position and lead-ring coupling effects on the spin-dependent transport properties in a two-dimensional network of quantum nanorings in the presence of Rashba spin–orbit interaction
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computational Electronics"
DOI: 10.1007/s10825-020-01506-5
Abstract: The effects of lead positions and lead-ring coupling regimes are investigated for spin-related transport through a two-dimensional network of quantum nanorings (2DNQRs) considering Rashba spin–orbit interaction (RSOI) and magnetic flux. A matrix representation of the… read more here.
Keywords: network quantum; ring coupling; spin; lead ring ... See more keywords
Transformer-Based Neural-Network Quantum State Method for Electronic Band Structures of Real Solids.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.4c00567
Abstract: Recent advancements in neural networks have led to significant progress in addressing many-body electron correlations in small molecules and various physical models. In this work, we propose QiankunNet-Solid, which incorporates periodic boundary conditions into the… read more here.
Keywords: network quantum; quantum state; method; band structures ... See more keywords
NNQS-AFQMC: Neural Network Quantum States Enhanced Fermionic Quantum Monte Carlo.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.5c01138
Abstract: We introduce an efficient approach to implement neural network quantum states (NNQS) as trial wave functions in auxiliary-field quantum Monte Carlo (AFQMC). NNQS are a recently developed class of variational ansätze capable of flexibly representing… read more here.
Keywords: nnqs afqmc; network quantum; quantum states; trial ... See more keywords
Hybrid Tensor Network and Neural Network Quantum States for Quantum Chemistry.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.5c01228
Abstract: Neural network quantum states (NQS) have emerged as a powerful and flexible framework for addressing quantum many-body problems. While successful for model Hamiltonians, their application to molecular systems remains challenging for several reasons. In this… read more here.
Keywords: network quantum; quantum states; chemistry; quantum chemistry ... See more keywords
Neural-network quantum state tomography in a two-qubit experiment
Sign Up to like & getrecommendations! Published in 2020 at "Physical Review A"
DOI: 10.1103/physreva.102.042604
Abstract: We study the performance of efficient quantum state tomography methods based on neural network quantum states using measured data from a two-photon experiment. Machine learning inspired variational methods provide a promising route towards scalable state… read more here.
Keywords: state; quantum; state tomography; quantum state ... See more keywords
Genuine network quantum nonlocality and self-testing
Sign Up to like & getrecommendations! Published in 2022 at "Physical Review A"
DOI: 10.1103/physreva.105.022206
Abstract: The network structure offers in principle the possibility for novel forms of quantum nonlocal correlations, that are proper to networks and cannot be traced back to standard quantum Bell nonlocality. Here we define a notion… read more here.
Keywords: quantum nonlocality; genuine network; quantum; network ... See more keywords
Ground state search by local and sequential updates of neural network quantum states
Sign Up to like & getrecommendations! Published in 2022 at "Physical Review B"
DOI: 10.1103/physrevb.107.165149
Abstract: Neural network quantum states are a promising tool to analyze complex quantum systems given their representative power. It can however be difficult to optimize efficiently and effectively the parameters of this type of ansatz. Here… read more here.
Keywords: neural network; ground state; network quantum;
Quantum transport in open spin chains using neural-network quantum states
Sign Up to like & getrecommendations! Published in 2022 at "Physical Review B"
DOI: 10.1103/physrevb.107.205102
Abstract: In this work we study the treatment of asymmetric open quantum systems with neural networks based on the restricted Boltzmann machine. In particular, we are interested in the non-equilibrium steady state current in the boundary-driven… read more here.
Keywords: neural network; quantum; network quantum; spin ... See more keywords
Quantum skyrmion dynamics studied by neural network quantum states
Sign Up to like & getrecommendations! Published in 2024 at "Physical Review B"
DOI: 10.1103/physrevb.110.104411
Abstract: We study the dynamics of quantum skyrmions under a magnetic field gradient using neural network quantum states. First, we obtain a quantum skyrmion lattice ground state using variational Monte Carlo with a restricted Boltzmann machine… read more here.
Keywords: network quantum; quantum states; quantum skyrmions; quantum ... See more keywords
Learning eigenstates of quantum many-body Hamiltonians within the symmetric subspaces using neural network quantum states
Sign Up to like & getrecommendations! Published in 2024 at "Physical Review B"
DOI: 10.1103/physrevb.111.l161116
Abstract: The exploration of neural network quantum states has become widespread in the studies of complicated quantum many-body systems. However, achieving high precision remains challenging due to the exponential growth of Hilbert space size and the… read more here.
Keywords: network quantum; quantum states; quantum many; many body ... See more keywords
Construction of Inequalities for Network Quantum Steering Detection
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DOI: 10.3390/axioms14080615
Abstract: Quantum network correlations are crucial for long-distance quantum communication, quantum cryptography, and distributed quantum computing. Detecting network steering is particularly challenging in complex network structures. We have studied the steering inequality criteria for a 2-forked… read more here.
Keywords: network quantum; inequalities network; network; construction inequalities ... See more keywords