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20192026
most citedMarkovian Quantum Neuroevolution for Machine Learning

52 citations · 162 across the 10 of their papers we have counts for

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6 papers · 1 filter

quant-ph2026

Machine learning the arrow of time in solid-state spins

Xiang-Qian Meng, Zhide Lu, Ya-Nan Lu +9

Understanding the emergence of the thermodynamic arrow of time in microscopic systems is of fundamental importance, particularly given that unitary evolution preserves time-reversa…

quant-ph2025★ 20 cited

Demonstration of low-overhead quantum error correction codes

Ke Wang, Zhide Lu, Chuanyu Zhang +39

Quantum computers hold the potential to surpass classical computers in solving complex computational problems. However, the fragility of quantum information and the error-prone nat…

quant-ph2024★ 8 cited

Quantum continual learning on a programmable superconducting processor

Chuanyu Zhang, Zhide Lu, Liangtian Zhao +32

Quantum computers may outperform classical computers on machine learning tasks. In recent years, a variety of quantum algorithms promising unparalleled potential to enhance, speed…

quant-ph2024★ 33 cited

Non-Hermitian Fermi-Dirac Distribution in Persistent Current Transport

Pei-Xin Shen, Zhide Lu, Jose L. Lado +1

Persistent currents circulate continuously without requiring external power sources. Here, we extend their theory to include dissipation within the framework of non-Hermitian quant…

quant-ph2022★ 29 cited

Quantum Capsule Networks

Zidu Liu, Pei-Xin Shen, Weikang Li +2

Capsule networks, which incorporate the paradigms of connectionism and symbolism, have brought fresh insights into artificial intelligence. The capsule, as the building block of ca…

quant-ph2020★ 52 cited

Markovian Quantum Neuroevolution for Machine Learning

Zhide Lu, Pei-Xin Shen, Dong-Ling Deng

Neuroevolution, a field that draws inspiration from the evolution of brains in nature, harnesses evolutionary algorithms to construct artificial neural networks. It bears a number…