Bound states, scattering states, and tunneling
An explanation of the difference between bound states and scattering states in quantum mechanics and contrasted to classical mechanics, with a brief introduction to the concept of quantum tunneling. (This lecture is part of a series for a course based on Griffiths' Introduction to Quantum
From playlist Quantum Mechanics Videos
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 Mechanics Concepts: 1 Dirac Notation and Photon Polarisation
Part 1 of a series: covering Dirac Notation, the measurable Hermitian matrix, the eigenvector states and the eigenvalue measured outcomes and application to photon polarisation
From playlist Quantum Mechanics
The Map of Quantum Computing | Quantum Computers Explained
An excellent summary of the field of quantum computing. Find out more about Qiskit at https://qiskit.org and their YouTube channel https://www.youtube.com/c/qiskit And get the poster here: https://store.dftba.com/collections/domain-of-science/products/map-of-quantum-computing With this vi
From playlist Quantum Physics Videos - Domain of Science
A Simple Explanation of Quantum Wavefunctions
Fundamentally everything is made of particles and these particles are are described by a quantum wavefunction. But what actually is it, and is it even real? Support this channel: https://www.patreon.com/domainofscience and https://store.dftba.com/collections/domain-of-science Here I expl
From playlist Quantum Physics Videos - Domain of Science
Christine Silberhorn: Time-multiplexed quantum walks
Photonic quantum systems, which comprise multiple optical modes, have become an established platform for the experimental implementation of quantum walks. However, the implementation of large systems with many modes, this means for many step operations, a high and dynamic control of many d
From playlist Mathematical Physics
Quantum tunneling explained with 3D simulations of Schrodinger’s equation for quantum wave functions. My Patreon page is at https://www.patreon.com/EugeneK
From playlist Physics
What Is The Uncertainty Principle?
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From playlist Science Unplugged: Quantum Mechanics
Neural networks discovering quantum error (...) - F. Marquardt - PRACQSYS 2018 - CEB T2 2018
Florian Marquardt (Max Planck Institute for the Science of Light, Erlangen, Germany & Physics Department, University of Erlangen-Nuremberg, Erlangen, Germany) / 02.07.2018 Neural networks discovering quantum error correction strategies from scratch Suppose you are given a set of a few qu
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
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
Shi-Ju Ran: "Deep learning quantum states for Hamiltonian predictions"
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop II: Tensor Network States and Applications "Deep learning quantum states for Hamiltonian predictions" Shi-Ju Ran - Capital Normal University Abstract: Human experts cannot efficiently access the phys
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
Roger Melko Public Lecture: Artificial Intelligence and the Complexity Frontier
In his May 2 public lecture at Perimeter Institute, Roger Melko (Associate Faculty, Perimeter Institute and University of Waterloo) explored how computers have helped humanity solve increasingly complex puzzles, and ask which challenges, if any, only human intuition is equipped to tackle i
From playlist Public Lecture Series
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
Find out what it takes for a quantum computer to beat a classical computer to achieve quantum supremacy. Check out this video's sponsor https://brilliant.org/dos Quantum supremacy’s that moment when a quantum computer beats the best supercomputers at solving some kind of problem, and it’s
From playlist Quantum Physics Videos - Domain of Science
Eun-Ah Kim - Machine Learning for Quantum Simulation - IPAM at UCLA
Recorded 15 April 2022. Eun-Ah Kim of Cornell University presents "Machine Learning for Quantum Simulation" at IPAM's Model Reduction in Quantum Mechanics Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-ii-model-reduction-in-quantum-mechanics/?tab=sched
From playlist 2022 Model Reduction in Quantum Mechanics Workshop
Neural Tangent Kernel theory from High Energy Physics by Junyu Liu
PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II
From playlist NUMSTRING 2022
Aiichiro Nakano - Quantum Material Dynamics at Nexus of Exascale Computing, AI, & Quantum Computing
Recorded 27 March 2023. Aiichiro Nakano of the University of Southern California presents "Quantum Materials Dynamics at the Nexus of Exascale Computing, Artificial Intelligence, and Quantum Computing" at IPAM's Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale
From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
Giuseppe Carleo: "Generative and variational modeling for quantum many-body physics"
Machine Learning for Physics and the Physics of Learning 2019 Workshop I: From Passive to Active: Generative and Reinforcement Learning with Physics "Generative and variational modeling for quantum many-body physics" Giuseppe Carleo - Flatiron Institute, a Division of the Simons Foundatio
From playlist Machine Learning for Physics and the Physics of Learning 2019
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