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20072023
most citedQuantum Entanglement in Neural Network States

407 citations · 3.9k across the 91 of their papers we have counts for

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65 papers · 1 filter

quant-ph2023★ 1 cited

Realizing Non-Physical Actions through Hermitian-Preserving Map Exponentiation

Fuchuan Wei, Zhenhuan Liu, Guoding Liu +4

Quantum mechanics features a variety of distinct properties such as coherence and entanglement, which could be explored to showcase potential advantages over classical counterparts…

quant-ph2023★ 25 cited

Embedding Quantum Many-Body Scars into Decoherence-Free Subspaces

He-Ran Wang, Dong Yuan, Shun-Yao Zhang +3

Quantum many-body scars are non-thermal excited eigenstates of non-integrable Hamiltonians, which could support coherent revival dynamics from special initial states when scars for…

quant-ph2023

Configured Quantum Reservoir Computing for Multi-Task Machine Learning

Wei Xia, Jie Zou, Xingze Qiu +5

Amidst the rapid advancements in experimental technology, noise-intermediate-scale quantum (NISQ) devices have become increasingly programmable, offering versatile opportunities to…

quant-ph2023★ 2 cited

Theory on variational high-dimensional tensor networks

Zidu Liu, Qi Ye, Li-Wei Yu +2

Tensor network methods are powerful tools for studying quantum many-body systems. In this paper, we investigate the emergent statistical properties of random high-dimensional tenso…

quant-ph2022★ 5 cited

Enhancing Quantum Adversarial Robustness by Randomized Encodings

Weiyuan Gong, Dong Yuan, Weikang Li +1

The interplay between quantum physics and machine learning gives rise to the emergent frontier of quantum machine learning, where advanced quantum learning models may outperform th…

quant-ph2022★ 50 cited

Deep quantum neural networks equipped with backpropagation on a superconducting processor

Xiaoxuan Pan, Zhide Lu, Weiting Wang +10

Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of…