Quantum Machine Learning with Python - Explore the intersection of quantum computing and machine learning with Python in this tutorial. Learn how to leverage quantum algorithms for advanced data analysis.
With this connection we hope to unlock new and exciting paths for Quantum Computing research that would not have otherwise been possible. Installation See the installation instructions. Examples All of our examples can be found here in the form of Python notebook tutorials Report issues Report bugs...
图书Quantum Machine Learning With Python: Using Cirq from Google Research and IBM Qiskit 介绍、书评、论坛及推荐
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network. - PennyLaneAI/pennylane
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...
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...
From the implementation side, we used Python and the well-known Flask framework for the web-deployment infrastructure. 2.3. Quantum machine learning with QuantuMoonLight To enable experimentations, QuantuMoonLight relies on the APIs provided by Qiskit. Specifically, the tool allows users to exploit...
What is Machine Learning ? , In Simple word the answer is making the computer or application to learn themselves . So its totally related with computing fields like computer science and IT ? ,The answer is not true . ML is a common platform which is mingled in all the aspects of the li...
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...
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...