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所在平台: Udemy |
课程主页: https://www.udemy.com/course/quantum-computing-and-quantum-machine-learning-part-3/
课程评论：没有评论
课程名称：量子计算与量子机器学习 - 第三部分 课程概述： 《量子计算与量子机器学习 - 第三部分》是第一部分和第二部分的延续，标志着计算和物理学的新纪元。通过学习本课程，您将为量子研究的丰富职业生涯做准备，并深入学习Python库，如Qiskit，以熟练操作量子门和量子电路。该课程将教授如何使用CNOT、Hadamard、SWAP等量子门生成量子电路，并为深入学习量子密码学奠定基础。在后续系列中，课程还将探讨量子机器学习及Google的CIRQ库，如何利用量子和经典通道处理量子电路。此外，您将学习量子传输和超密编码的应用，以及一个重要的定理—不可克隆定理。 量子计算利用量子现象（如叠加和纠缠）进行计算，执行量子计算的计算机被称为量子计算机。在经典视角下，一个输入值为1（即100%概率为此状态），而其他所有输入值均为零。量子力学中，概率向量被推广为密度算子，这是量子逻辑门的严格数学基础，但通常会首先介绍中间的量子状态向量形式，因为它更易于理解。 总之，这是一门引人入胜的课程，参加后您将拥有进入量子计算新时代的机会。
Quantum Computing and Quantum Machine Learning - Part 3 , is the continuation from what was taught in Part 1 and Part 2. This is going to be the new era of computation/ physics. Enroll for an enriching career in Quantum Research and learn Pythonic Libraries like Qiskit to operate with Quantum Gates and Quantum Circuits in depth. A fantastic computing era to join. In this course will see how to generate quantum circuits using quantum gates like CNOT, Hadamard, SWAP etc. This course sets the correct path in order to study Quantum Cryptography in depth and in the later series will move towards Quantum Machine Learning and libraries of Google like CIRQ. Will see how to handle quantum circuits using quantum as well as classical channel. Applications of Quantum Teleportation and Super Dense Coding and a very important theorem called as No Cloning Theorem. Quantum computing is the use of quantum phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers.In the classical view, one entry would have a value of 1 (i.e. a 100% probability of being in this state) and all other entries would be zero. In quantum mechanics, probability vectors are generalized to density operators. This is the technically rigorous mathematical foundation for quantum logic gates, but the intermediate quantum state vector formalism is usually introduced first because it is conceptually simpler.
