Quantum machine learning - Wikipedia
WebQuantum machine learning is the integration of quantum algorithms within machine learning programs. The most common use of the term refers to machine learning algorithms for the analysis of classical data executed on a quantum computer, i.e. quantum-enhanced machine learning.
Quantum Machine Learning: What It Is, How It Works, and More
WebDec 4, 2023 · Quantum machine learning uses the power of quantum mechanics and quantum computing to speed up and enhance the machine learning done on the “classical” computers we use every day. Quantum computers are designed using the often counter-intuitive laws of quantum physics and can store and process exponentially more …
Quantum machine learning concepts | TensorFlow Quantum
WebApr 26, 2024 · Quantum machine learning (QML) is built on two concepts: quantum data and hybrid quantum-classical models. Quantum data is any data source that occurs in a natural or artificial quantum system. This can be data generated by a quantum computer, like the samples gathered from the Sycamore processor for Google’s demonstration of …
WebSeptember 11, 2014. Abstract. Machine learning algorithms learn a desired input-output relation from examples in order to interpret new inputs. This is important for tasks such as image and speech recognition or strategy optimisation, with growing applications in …
Explainer: what is quantum machine learning and how can it …
WebApr 18, 2019 · Quantum mechanics is a branch of physics that attempts to understand and apply mathematical, verifiable rules to the behaviour of nature at the smallest end of the spectrum – on the scale of...
Quantum Machine Learning and the Power of Data - Google …
WebJun 22, 2021 · Blog. Quantum Machine Learning and the Power of Data. June 22, 2021. Posted by Jarrod McClean, Staff Research Scientist and Hsin-Yuan (Robert) Huang1, Intern, Google Quantum AI. Quantum computing has rapidly advanced in both theory and practice in recent years, and with it the hope for the potential impact in real applications.
The AI–quantum computing mash-up: will it revolutionize …
Web02 January 2024. The AI–quantum computing mash-up: will it revolutionize science? Scientists are exploring the potential of quantum machine learning. But whether there are useful...
Modern applications of machine learning in quantum sciences
WebApr 8, 2022 · We cover the use of deep learning and kernel methods in supervised, unsupervised, and reinforcement learning algorithms for phase classification, representation of many-body quantum states, quantum feedback …
Quantum Machine Learning: from physics to software engineering
WebJan 4, 2023 · Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key approaches that can offer advancements in both the development of quantum technologies and the power of artificial intelligence.
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
Web(2020) Download Google Scholar. Copy Bibtex. Abstract. We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data.
Skip to content