29 skills found
SajadAHMAD1 / Chaotic GSA For Engineering Design ProblemsAll nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
sbellem / QteeExploring the physical limits of trusted hardware in the classical and quantum settings to achieve security through physics.
afrah / QCPINNQCPINN: Quantum-Classical Physics-Informed Neural Networks
NuclearPhysicsWorkshops / FRIB TASummerSchoolQuantumComputingRecent developments in quantum information systems and technologies offer the possibility to address some of the most challenging large-scale problems in science, whether they are represented by complicated interacting quantum mechanical systems or classical systems. The last years have seen a rapid and exciting development in algorithms and quantum hardware. The emphasis of this summer school is to highlight, through a series of lectures and hands-on exercises and practice sessions, how quantum computing algorithms can be used to study nuclear few- and many-body problems of relevance for low-energy nuclear physics. And how quantum computing algorithms can aid in studying systems with increasingly many more degrees of freedom compared with more classical few- and many-body methods. Several quantum algorithms for solving quantum-mechanical few- and many-particle problems with be discussed. The lectures will start with the basic ideas of quantum computing. Thereafter, through examples from nuclear physics, we will elucidate how different quantum algorithms can be used to study these systems. The results from various quantum computing algorithms will be compared to standard methods like full configuration interaction theory, field theories on the lattice, in-medium similarity renormalization group and coupled cluster theories.
MichaelJCole / N Body Wasm CanvasAn implementation of the classical physics "n-body problem" using browser Canvas, WebAssembly and AssemblyScript
ozooxo / SchemannianA scheme/Racket based package for symbolic mathematics for physicist, which currently supports a realization of Euler-Lagrangian Equation in classical physics, Riemannian geometry and General Relativity calculations, and simple Grassmannian calculus.
wasitkrish / Computational PhysicsA collection of computational physics simulations implemented in GNU Octave, covering classical mechanics, orbital motion, and dynamical systems using numerical methods such as ODE solvers. This project focuses on visualizing physical phenomena through plots and simulations as part of a first-semester engineering curriculum.
ewt-project / Quantum MicroscopeTo simulate the creation of particles, atoms and matter with classical physics, illustrating that the universe operates under a single set of laws.
Photonico / Computational Physics Topics:notes: My lecture on Quantum Physics including some Classical Physics with the applications by Python Language.
grisuno / QCFunctional quasi-quantum computing simulator on classical hardware using physics models as a backend.
ewt-project / Custom SimulatorA custom simulator matching the requirements of the EWT Project to model subatomic behavior with classical physics
mseri / Hammech20Lecture Notes for the Hamiltonian Mechanics course
Zaid-Al-Habbal / Apollo 11 SimulationThis project aims to build a dynamic simulation model for a spacecraft's journey from a Low Earth Orbit (LEO) to a stable lunar orbit, based on classical physics laws.
prateekp2701 / CAVITY PINNA Physics Informed Neural Network to Solve a Classical Fluid Flow Problem of a Lid Driven Square Cavity
niccolot / QML ComputerVisionRepo containing the materials for my master's thesis in physics 'Hybrid quantum-classical approach to quantum machine learning for computer vision'
satkarjuneja / Analytical Physics ModelsPython simulations of analytical physics models, combining rigorous mathematical derivations with real-time 3D visualizations of classical and modern systems like particle dynamics, and collisions.
fluxion9 / A GENTLE INTRODUCTION TO QUANTUM COMPUTING This is a repository that gently introduces Quantum Computing to anyone with no background in math, physics and computer science. This repo assumes no knowledge at all about Quantum Mechanics and would start by introducing the basic concepts of linear algebra, Basic Probability theories, Vector spaces and Hilbert spaces, Matrix Operations and Matrix Mechanics, Introduction to the postulates of Quantum Mechanics, Spintronics and Angular Momentum, Classical logic gates operations and Concepts of gate-based Quantum Programming using QISKIT. This repo would also feature relevant articles, Research papers, podcasts, textbook references, linkdln posts, youtube links and blog posts in areas where they would accelerate your understanding of these Quantum Computing. Also, it will discuss the various use cases and Applications of Quantum Technology. So right now, let us start with the history of Quantum Mechanics :)
ssebastianmag / Sine Wave SuperpositionModeling and visualization of linear superposition of waveforms and resultant interference patterns
myhanna / Tutorial Qml Cmp 2024Tutorial for Workshop on Classical and Quantum Machine Learning for Condensed Matter Physics 2024
manjunath5496 / Classical Physics Books"Individual events. Events beyond law. Events so numerous and so uncoordinated that, flaunting their freedom from formula, they yet fabricate firm form." ― John Archibald Wheeler
