Episode Quantum Machine Learning Library Learn Azure Sep 17, 2020 Quantum Machine Learning Library Have feedback? Submit an issue here.English (United States) Your Privacy Choices Theme Manage cookies Previous Versions Blog Contribute Privacy Terms of Use Trademarks © Microsoft 2024...
machine-learningdeep-learningtensorflowoptimizationquantumquantum-computingphotonicsquantum-machine-learning UpdatedMar 24, 2023 Python An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more. ...
MindQuantum is a quantum machine learning library that can be used to build and train different quantum neural networks. - mindspore-ai/mindquantum
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, so it is reasonable to postulate that quantum computers...
Deep learning is a modern approach to realize artificial intelligence. Many frameworks exist to implement the machine learning task; however, performance is limited by computing resources. Using a quantum computer to accelerate training is a promising approach. The variational quantum circuit (VQC) has...
To accelerate development, Google, in collaboration with Volkswagen and the University of Waterloo,has launchedTensorFlow Quantum, an open-source library for prototyping quantum machine learning models. IBM, Microsoft, and other tech giants are also pouring money into quantum machine learning. ...
TensorFlow Quantum (TFQ) is aquantum machine learninglibrary for rapid prototyping of hybrid quantum-classical ML models provided by Google. TensorFlow Quantum focuses on quantum data and building hybrid quantum-classical models. It integrates quantum computing algorithms and logic designed inCirq, and ...
At the intersection of machine learning and quantum computing, quantum machine learning has the potential of accelerating data analysis, especially for quantum data, with applications for quantum materials, biochemistry and high-energy physics. Neverthel
QUANTUM MACHINE LEARNING ALGORITHMS Quantum K-Nearest Neighbour info : Here the centroid(euclidean distance) can be detected using the swap gates test between two states of the qubit , As KNN is regerssive loss can be tally using the average ...
What is Qiskit Machine Learning?Qiskit Machine Learning introduces fundamental computational building blocks, such as Quantum Kernels and Quantum Neural Networks, used in various applications including classification and regression.This library is part of the Qiskit Community ecosystem, a collection of high...