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基于参数化量子电路的量子卷积神经网络模型及应用 被引量:2
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作者 郑瑾 高庆 +2 位作者 吕颜轩 董道毅 潘宇 《控制理论与应用》 EI CAS CSCD 北大核心 2021年第11期1772-1784,共13页
量子神经网络结合了量子计算与经典神经网络模型的各自优势,为人工智能领域的未来发展提供了一种全新的思路.本文提出一种基于参数化量子电路的量子卷积神经网络模型,能够针对欧几里得结构数据与非欧几里得结构数据,利用量子系统的计算... 量子神经网络结合了量子计算与经典神经网络模型的各自优势,为人工智能领域的未来发展提供了一种全新的思路.本文提出一种基于参数化量子电路的量子卷积神经网络模型,能够针对欧几里得结构数据与非欧几里得结构数据,利用量子系统的计算优势加速经典机器学习任务.在MNIST数据集上的数值仿真结果表明,该模型具有较强的学习能力和良好的泛化性能. 展开更多
关键词 量子机器学习 量子神经网络 量子卷积神经网络 量子图卷积神经网络
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A quantum switching architecture on the basis of limited nonlocal operation
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作者 JIANG Min ZHANG Zeng-ke dong dao-yi 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2006年第4期91-94,共4页
Quantum information system is fragile to be disturbed by the external environment. Quantum switching architecture is one of the promising schemes for transferring input quantum data to its destination port substituted... Quantum information system is fragile to be disturbed by the external environment. Quantum switching architecture is one of the promising schemes for transferring input quantum data to its destination port substituted for fully connected quantum networks. Since at present, interactions between the qubits are limited to a small number of neighboring qubits, one novel approach was extended, and the improved architecture was further demonstrated under limited nonlocal operation. The performance evaluation shows that the whole architecture with improved control module can achieve a time complexity of O(n^2) and will be more feasible for physical realization. 展开更多
关键词 quantum information quantum switching time optimization limited operation
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