Theoretical computer science | Quantum programming | Quantum information science
Quantum 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. While machine learning algorithms are used to compute immense quantities of data, quantum machine learning utilizes qubits and quantum operations or specialized quantum systems to improve computational speed and data storage done by algorithms in a program. This includes hybrid methods that involve both classical and quantum processing, where computationally difficult subroutines are outsourced to a quantum device. These routines can be more complex in nature and executed faster on a quantum computer. Furthermore, quantum algorithms can be used to analyze quantum states instead of classical data. Beyond quantum computing, the term "quantum machine learning" is also associated with classical machine learning methods applied to data generated from quantum experiments (i.e. machine learning of quantum systems), such as learning the phase transitions of a quantum system or creating new quantum experiments. Quantum machine learning also extends to a branch of research that explores methodological and structural similarities between certain physical systems and learning systems, in particular neural networks. For example, some mathematical and numerical techniques from quantum physics are applicable to classical deep learning and vice versa. Furthermore, researchers investigate more abstract notions of learning theory with respect to quantum information, sometimes referred to as "quantum learning theory". (Wikipedia).
What is Quantum Machine Learning?
Generative machine learning is the field of ML that focuses on generating data. If you've seen any of the realistic-looking faces on pages such as www.thispersondoesnotexist.com or www.whichfaceisreal.com, you've seen generative machine learning in action. Quantum computing is a rapidly ad
From playlist Fundamentals of Machine Learning
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Machine Learning
Artificial General Intelligence | Tim Ferriss & Eric Schmidt | GEONOW
âś… Subscribe: https://bit.ly/3slupxs Quantum AI is the use of quantum computing for computation of machine learning algorithms. Thanks to computational advantages of quantum computing, quantum AI can help achieve results that are not possible to achieve with classical computers. Quantum da
From playlist ML & Deep Learning
What Is Quantum Computing | Quantum Computing Explained | Quantum Computer | #Shorts | Simplilearn
🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=QuantumComputingShorts&utm_medium=ShortsDescription&utm_source=youtube Quantum computing is a branch of computing that focuses on developing computer tech
From playlist #Shorts | #Simplilearn
Quantum Computing for Beginners | How to get started with Quantum Computing
Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. A quantum computer is used to perform such computation, which can be implemented theoretically or physically. The field of quantum computing is actually a sub-field
From playlist Quantum Physics
Quantum Computer in a Nutshell (Documentary)
The reservoir of possibilities offered by the fundamental laws of Nature, is the key point in the development of science and technology. Quantum computing is the next step on the road to broaden our perspective from which we currently look at the Universe. The movie shows the history of pr
From playlist Quantum computing
Linear algebra for Quantum Mechanics
Linear algebra is the branch of mathematics concerning linear equations such as. linear functions and their representations in vector spaces and through matrices. In this video you will learn about #linear #algebra that is used frequently in quantum #mechanics or #quantum #physics. ****
From playlist Quantum Physics
Open Source Quantum Computing: Write Your Own Quantum Programs
Quantum computers are not just science fiction anymore, with many companies building increasingly more powerful quantum computers. While, concepts in quantum computing have been around for over 30 years, but it hasn't been generally accessible until recently. Despite this quantum computing
From playlist Quantum Computing
A special lecture entitled " Quantum Machine Learning " by Seth Lloyd from the Massachusetts Institute of Technology, Cambridge, USA.
From playlist AI talks
Q2B 2019 | Quantum Machine Learning: Algorithms & Applications | Iordanis Kerenidis | QC Ware
Sponsored by Universities Space Research Association (USRA) - https://riacs.usra.edu/quantum/ Iordanis Kerenidis, Head of Quantum Algorithms – International at QC Ware Corp., presents to attendees on Day 1 of the Practical Quantum Computing Conference, an annual conference hosted by QC War
From playlist Quantum computing + AI/ML
Machine learning techniques in quantum information (...) - A. Rocchetto - Workshop 1 - CEB T2 2018
Andrea Rocchetto (University of Oxford and UCL) / 15.05.2018 Machine learning techniques in quantum information theory: a selection of results During this talk I will present a selection of results at the intersection of quantum information, quantum computation, and machine learning. Fir
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Maria Schuld: "Innovating machine learning with near-term quantum computing"
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Innovating machine learning with near-term quantum computing" Maria Schuld - University of KwaZulu-Natal & Xanadu Abstract: Algorithms that run on quantum computers
From playlist Machine Learning for Physics and the Physics of Learning 2019
Masayuki Ohzeki: "Quantum annealing and machine learning - new directions of quantum"
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Quantum annealing and machine learning - new directions of quantum" Masayuki Ohzeki - Tohoku University Abstract: Quantum annealing is a generic solver of combinator
From playlist Machine Learning for Physics and the Physics of Learning 2019
Generative modeling for Quantum Machine Learning
By Luis Serrano, Zapata Computing This session is brought to you by QuantUniversity (www.quantuniversity.com) Ever wondered how quantum computers work, and how they do machine learning? With quantum computing technologies nearing the ear of commercialization and quantum advantage, machine
From playlist ML Talks by Luis Serrano
Maria Kieferova - Training quantum neural networks with an unbounded loss function - IPAM at UCLA
Recorded 27 January 2022. Maria Kieferova of the University of Technology Sydney presents "Training quantum neural networks with an unbounded loss function" at IPAM's Quantum Numerical Linear Algebra Workshop. Abstract: Quantum neural networks (QNNs) are a framework for creating quantum al
From playlist Quantum Numerical Linear Algebra - Jan. 24 - 27, 2022
Demystifying Quantum Machine Learning with Luis Serrano, PhD (Zapata Computing)
Synthetic Intelligence Forum is excited to convene a session about "Demystifying Quantum Machine Learning" with Luis Serrano, PhD (Quantum AI Research Scientist at Zapata Computing). Topic: Quantum computers are known to be efficient for factoring numbers. They can efficiently simulate so
From playlist ML Talks by Luis Serrano
What is quantum machine learning and how can we use it? by Luis Serrano | Q-munity workshop
Instagram: https://www.instagram.com/qmunity.tech/ Facebook: https://www.facebook.com/qmunitytech Twitter: https://twitter.com/qmunitytech Reddit: qmunitytech See you soon, Q-munity Tech
From playlist ML Talks by Luis Serrano
What Can We Expect from Quantum Machine Learning? - Dr. Peter Wittek
Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications https://yandexdataschool.com/conference The most successful algorithms in machine learning strike a balance between sample, model, and computational complexities. A low sample complexity means that the
From playlist Quantum computing + AI/ML