Microsoft Quantum Systems 组首席研究员亚历克斯·博查罗夫和高级研究软件开发工程师 Chris Granade 加入 Vadim Karpusenko,讨论量子计算对机器学习和人工智能领域的影响。 在量子机器学习中短暂地谈到了十年前的开创性成果,故事将转而描述近期旨在生成更小的“干扰”量
Quantum algorithms have been developed to enhance a range of different computational tasks; more recently this has grown to include quantum enhanced machine learning. Quantum machine learning was, in part, pioneered by Skoltech’s resident-based Laboratory for Quantum Information Processing, led by Jac...
There is a lab on Quantum Machine Learning is now available https://github.com/Microsoft/MLADS2018-QuantumML To work on this tutorial, you'll need to install the Quantum Development Kit, available for Windows 10, macOS, and for Linux. Please see the install guide for the Quantum Development...
IBMQuantumExperienceisaplatformthatenablesdeveloperstolearnthebasicsofquantumcomputingbyallowingthemtorunexperimentsonaquantumcomputingsimulatorandarealquantumcomputer.Thisbookwillexplainthebasicprinciplesofquantummechanics,theprinciplesinvolvedinquantumcomputing,andtheimplementationofquantumalgorithmsandexperimentsonIBM'squantum...
The tutorials and exercises collected in the Quantum Katas emphasize hands-on experience to reinforce learning the concepts. The programming tasks cover a variety of quantum concepts which progress from very simple to quite challenging. For each task, you need to fill in some missing code; the fi...
These types of problems can be found in many areas, such as quantum simulation, cryptography, quantum machine learning, and search problems.One of the goals of quantum computing research is to study which problems can be solved by a quantum computer faster than a classical computer and how ...
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A new test to check if a quantum computer is giving correct answers to questions beyond the scope of traditional computing could help the first quantum computer that can outperform a classical computer to be realized.
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Spectral Neighbor Analysis Potential: Thompson, A. P., Swiler, L. P., Trott, C. R., Foiles, S. M., & Tucker, G. J. Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials. Journal of Computational Physics, 285, 316-330.doi:10.1016/j.jcp.12...