值得一提的是第二篇提出的QAOA算法是比较火的一个组合优化算法,有空专门来写一下这方面的内容。 量子深度学习(quantum deep learning) 主要是指量子玻尔兹曼机(quantum Boltzmann Machine). 类似于经典的玻尔兹曼机,量子玻尔兹曼机的训练也是寻找一系列参数,来找到可以使得input training data近似满足玻尔兹曼分布(即统计...
Quantum Deep LearningIn the past decade, deep learning has had a profound impact on machine learning and artificial intelligence in general. Around the same time, quantum algorithms have proven to be effective in solving...doi:10.1007/978-1-4842-6522-2_6Pattanayak, Santanu...
Quantum Deep Learning 来自 Semantic Scholar 喜欢 0 阅读量: 132 作者: A Mccoss 摘要: An original quantum foundations concept of a deep learning computational Universe is introduced. The fundamental information of the Universe (or Triuniverse) is postulated to evolve about itself in a Red, Green ...
We demonstrate the feasibility of framing a classically learned deep neural network as an energy based model that can be processed on a one-step quantum annealer in order to exploit fast sampling times. We propose approaches to overcome two hurdles for high resolution image classification on a qua...
Variational tensor neural networks for deep learning Saeed S. Jahromi & Román Orús Article 09 August 2024 | Open Access A hybrid quantum-classical classification model based on branching multi-scale entanglement renormalization ansatz Yan-Yan Hou , Jian Li & Xin-Yu Liu Article 08 Augu...
Deep convolutional networks have witnessed unprecedented success in various machine learning applications. Formal understanding on what makes these networks so successful is gradually unfolding, but for the most part there are still significant mysteries to unravel. The inductive bias, which reflects prior...
quantum machine learning applications. With the PaddlePaddle deep learning platform empowering QC, Paddle Quantum provides strong support for scientific research community and developers in the field to easily develop QML applications. Moreover, it provides a learning platform for quantum computing ...
On the expressive power of deep learning: a tensor analysis. In: Proceedings of Conference on Learning Theory, 2016. 698--728. Google Scholar [59] Zhang P, Su Z, Zhang L P, et al. A quantum many-body wave function inspired language modeling approach. In: Proceedings of the 27th ...
Deep Quantum Learning 来自 Springer 喜欢 0 阅读量: 11 作者: S Ganguly 摘要: It is human nature to stretch the limits of our knowledge through learning. Cultivating and developing the art of optimizing each little corner of our lives through continuous learning has been the backbone of human ...
Deep Learning (MIT Press, 2016). Carleo, G. & Troyer, M. Solving the quantum many-body problem with artificial neural networks. Science 355, 602–606 (2017). Article ADS MathSciNet CAS PubMed MATH Google Scholar Gao, X. & Duan, L.-M. Efficient representation of quantum many-body ...