现货Quantum Machine Learning With Python: Using Cirq from Google Research 9781484265215 【全球购】进口原版图书,现货速发 作者:Santanu Pattanayak出版社:Apress出版时间:2021年02月 手机专享价 ¥ 当当价 降价通知 ¥352.00 配送至 上海 至 北京市东城区 服务 由“书之源外文图书”发货,并提供售后服务。
Machine Learning Theory and ApplicationsEnables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries\nMachine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring...
Python PennyLaneAI/pennylane-lightning Star101 Code Issues Pull requests The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane. hpcgpuparallelopenmpmpidistributed-computingcudaquantum-computingrocmquantum-machine-learning ...
TensorFlow Quantum (TFQ) is a Python framework for hybrid quantum-classical machine learning that is primarily focused on modeling quantum data. TFQ is an application framework developed to allow quantum algorithms researchers and machine learning applications researchers to explore computing workflows that...
Rational design of compounds with specific properties requires understanding and fast evaluation of molecular properties throughout chemical compound space — the huge set of all potentially stable molecules. Recent advances in combining quantum-mechanical calculations with machine learning provide powerful tool...
The use of quantum computing for machine learning is among the most exciting prospective applications of quantum technologies. However, machine learning tasks where data is provided can be considerably different than commonly studied computational tasks. In this work, we show that some problems that ar...
这是一份简洁、实用的关于量子机器学习(Quantum Machine Learnig,QML)的介绍,面向读者包括但不限于物理、数学和计算机背景。本手册主要采用 Jupyter Notebook 的交互形式 (调用 Numpy, Matplotlib等 Python包以及飞桨Paddlepaddle深度学习框架来实现基于线性代数的量子运算和机器学习优化问题)。我们不仅提供了关于量子计算的...
The article "Machine Learning Theory and Applications: Hands-On Use Cases With Python on Classical and Quantum Machines" is a valuable resource for graduate and advanced undergraduate students in Statistics and Data Science, as well as practitioners in the field. Authored by an experienced expert in...
TensorFlow Quantum(TFQ) is a Python framework for hybrid quantum-classical machine learning that is primarily focused on modeling quantum data. TFQ is an application framework developed to allow quantum algorithms researchers and machine learning applications researchers to explore computing workflows that ...
Github - Qulacs is a Python/C++ library for fast simulation of quantum circuits Train a quantum computer the same way as a neural network Quantum Service offered by Amazon Web Service Quantum Machine Learning with Amazon Braket to Create a Binary Classifier Amazon Braket of Quantum Computing An ...