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1
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…
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Keywords:
network quantum;
ring coupling;
spin;
lead ring ... See more keywords
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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…
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Keywords:
state;
quantum;
state tomography;
quantum state ... See more keywords
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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…
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Keywords:
quantum nonlocality;
genuine network;
quantum;
network ... See more keywords
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2
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…
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Keywords:
neural network;
ground state;
network quantum;
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2
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…
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Keywords:
neural network;
quantum;
network quantum;
spin ... See more keywords
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Published in 2023 at "Research"
DOI: 10.34133/research.0134
Abstract: Neural networks have achieved impressive breakthroughs in both industry and academia. How to effectively develop neural networks on quantum computing devices is a challenging open problem. Here, we propose a new quantum neural network model…
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Keywords:
neural network;
network quantum;
quantum neural;
neural computing ... See more keywords