Stochastic optimization

Stochastic tunneling

In numerical analysis, stochastic tunneling (STUN) is an approach to global optimization based on the Monte Carlo method-sampling of the function to be objective minimized in which the function is nonlinearly transformed to allow for easier tunneling among regions containing function minima. Easier tunneling allows for faster exploration of sample space and faster convergence to a good solution. (Wikipedia).

Stochastic tunneling
Video thumbnail

Quantum Tunneling

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

Video thumbnail

What is Quantum Tunnelling?

This video explores one of the most fascinating and esoteric properties of quantum mechanics: quantum tunnelling. The video begins by explaining an apparent paradox involving alpha decay, and then goes on to show how the theory of quantum tunnelling can provide a solution. The Schrodinger

From playlist Quantum Physics

Video thumbnail

What is Quantum Tunneling?

Tweet it - http://bit.ly/okHiQ7 Facebook it - http://on.fb.me/qA1dYk minutephysics is now on Google+ - http://bit.ly/qzEwc6 And facebook - http://facebook.com/minutephysics Minute Physics provides an energetic and entertaining view of old and new problems in physics -- all in a mi

From playlist Quantum Physics

Video thumbnail

Stochastic Normalizing Flows

Introduction to the paper https://arxiv.org/abs/2002.06707

From playlist Research

Video thumbnail

Quantum Tunneling : Animated Explanation (Quantum Mechanics)

Help me make more videos https://www.patreon.com/quahntasy Quantum Tunneling is a cool phenomenon in Quantum Mechanics also used in Semiconductors. Quantum tunnelling animation here is a rough explanation of what it really is. The brown guy in the video is the barrier and there is a quantu

From playlist Quantum Field Theory

Video thumbnail

What is Quantum Tunneling, Exactly?

Sign up to brilliant.org to receive a 20% discount with this link! https://brilliant.org/upandatom/ In this video we explore the quantum phenomenon of quantum tunneling, where an electron can tunnel through a barrier no classical object could. *Quantum Physics Playlist: https://www.yout

From playlist Physics

Video thumbnail

What is the Longest Deepest Tunnel in the World? (Gotthard Base Tunnel)

SUPPORT CR on PATREON: http://bit.ly/2qBHcvf The Gotthard Base Tunnel stretches 35.5 miles (57.5 km) under the Alps in Switzerland. Completed in 2016 after a nearly 20 years of construction, the tunnel overtook the Seikan Tunnel in Japan as the longest in the world. Aside from being the

From playlist Concerning Engineering

Video thumbnail

AQC 2016 - Adiabatic Quantum Computer vs. Diffusion Monte Carlo

A Google TechTalk, June 29, 2016, presented by Stephen Jordan (NIST) ABSTRACT: While adiabatic quantum computation using general Hamiltonians has been proven to be universal for quantum computation, the vast majority of research so far, both experimental and theoretical, focuses on stoquas

From playlist Adiabatic Quantum Computing Conference 2016

Video thumbnail

AQC2016 - Classical Modeling of Quantum Tunneling

A Google TechTalk, June 29, 2016, presented by Itay Hen (USC) ABSTRACT: Tunneling is widely believed to be the main advantage quantum annealers have over their classical counterparts. With neither provable speedups nor no-go theorems demonstrated, the true power of quantum annealers remai

From playlist Adiabatic Quantum Computing Conference 2016

Video thumbnail

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

Video thumbnail

That Channel Tunnel (1936)

Item title reads - That Channel Tunnel! M/S as a train enters a tunnel, it is filmed from the point of view of the front of the train. M/S of dogs going in and out of tunnels in a field. Various shots of ants in their tunnels including C/U. M/S of river Thames, various shots of cars d

From playlist The Things That Move Us: Channel Tunnel

Video thumbnail

AQC 2016 - Simulated Quantum Annealing Can Be Exponentially Faster Than Classical

A Google TechTalk, June 27, 2016, presented by Elizabeth Crosson (Caltech) ABSTRACT: Simulated Quantum Annealing Can Be Exponentially Faster Than Classical Simulated Annealing: Cost functions with thin, high energy barriers can exhibit exponential separations between the run-time of class

From playlist Adiabatic Quantum Computing Conference 2016

Video thumbnail

AQC 2016 - Scaling Analysis & Instantons for Thermally-Assisted Tunneling and Quantum MC Simulations

A Google TechTalk, June 28, 2016, presented by Zhang Jiang (NASA) ABSTRACT: We develop an instantonic calculus to derive an analytical expression for the thermally-assisted tunneling decay rate of a metastable state in a fully connected quantum spin model. The tunneling decay problem can

From playlist Adiabatic Quantum Computing Conference 2016

Video thumbnail

The 1-loop effective potential for the Standard (...) - T. Markkanen - Workshop 1 - CEB T3 2018

Tommi Markkanen (Imperial College London) / 18.09.2018 The 1-loop effective potential for the Standard Model in curved spacetime ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/Institut

From playlist 2018 - T3 - Analytics, Inference, and Computation in Cosmology

Video thumbnail

Anomalous velocity correlations, the ring-kinetic equation by V Kumaran

Indian Statistical Physics Community Meeting 2018 DATE:16 February 2018 to 18 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community which is attended by scientists, postdoctoral fellows, and graduate s

From playlist Indian Statistical Physics Community Meeting 2018

Video thumbnail

Sushanta Dattagupta - Dissipative quantum systems (5)

PROGRAM: BANGALORE SCHOOL ON STATISTICAL PHYSICS - V DATES: Monday 31 Mar, 2014 - Saturday 12 Apr, 2014 VENUE: Raman Research Institute, Bangalore PROGRAM LINK: http://www.icts.res.in/program/BSSP2014 This advanced level school was started in 2010 at the Raman Research Institute, Banga

From playlist Bangalore School on Statistical Physics - V

Video thumbnail

AQC 2016 - Building Quantum Annealer v2.0

A Google TechTalk, June 28, 2016, presented by Yu Chen (Google) ABSTRACT: Quantum annealer, constructed from an array of coupled flux qubits, represents an analog approach to build a quantum computer. In Quantum A.I. Lab, we are working on building an enhanced-performance quantum anneale

From playlist Adiabatic Quantum Computing Conference 2016

Video thumbnail

Using Computational Essays to Demystify Quantum Mechanics

To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Mohammad Bahrami Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices,

From playlist Wolfram Technology Conference 2018

Video thumbnail

Some Aspects of Space Fractional Quantum Mechanics by Bhabani Prasad Mandal

PROGRAM NON-HERMITIAN PHYSICS - PHHQP XVIII DATE :04 June 2018 to 13 June 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore Non-Hermitian Physics-"Pseudo-Hermitian Hamiltonians in Quantum Physics (PHHQP) XVIII" is the 18th meeting in the series that is being held over the years in Qua

From playlist Non-Hermitian Physics - PHHQP XVIII

Video thumbnail

Mini Batch Gradient Descent | Deep Learning | with Stochastic Gradient Descent

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch Gradient Descent updates weight parameters after assessing the small batch of the datase

From playlist Optimizers in Machine Learning

Related pages

Global optimization | Monte Carlo method | Numerical analysis | Parallel tempering | Sampling (signal processing) | Locus (mathematics) | Differential evolution | Simulated annealing | Detrended fluctuation analysis | Genetic algorithm