MuonRay / QuantumNetworkSimulationsLinks
A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic oscillators with non-local behavior and chimera states in systems of quantum particles. Coding Used is based on mathematical modelling of transport in …
☆13Updated last month
Alternatives and similar repositories for QuantumNetworkSimulations
Users that are interested in QuantumNetworkSimulations are comparing it to the libraries listed below
Sorting:
- A Python module for (local) Poisson-Nijenhuis calculus on Poisson manifolds☆13Updated 9 months ago
- Codes for supersymmetric lattice gauge theories☆17Updated 6 months ago
- An implementation of Wolfram's hypergraphs from the Wolfram Physics Project.☆13Updated 5 years ago
- Small world networks in Cellular Automata☆18Updated 4 years ago
- The main goal of StDoG is to provide a package which can be used to study dynamical and structural properties (like spectra) on graphs wi…☆9Updated 5 years ago
- Learning platform for category theory in python☆17Updated this week
- Code repo for paper: ICML 2020 paper Natural lottery ticket winner: RL for ordinary neural circuits☆13Updated 5 years ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- Simulate Anderson localization and tight binding on graphs.☆14Updated last year
- A Python module to visualise quantum circuit☆11Updated 6 years ago
- Methods of numerical modelling with undergraduate level computational physics solutions with non-linear equations, gaussian probabilities…☆16Updated 5 years ago
- a little library to help me with things involving Koopman operators☆12Updated 3 years ago
- Evolutionary Algorithms implementations, for various (discrete & continuous) optimization problems, including for autonomous agent contro…☆13Updated 10 months ago
- 🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)☆23Updated 7 years ago
- AIDN is a deep learning algorithm to represent any finitely-presented algebraic object with a set of deep neural networks.☆8Updated 4 years ago
- numerical solution of the Chapman-Kolmogorov equation / Fokker-Planck equation☆9Updated 3 years ago
- Calculate allowed interactions in QED☆10Updated 2 years ago
- Module 9 : Open Educational Resources☆12Updated 5 years ago
- Leveraging AlgebraicJulia to provide an interface for scientists to explore spaces of models.☆12Updated last year
- This repository contains the source code used to produce the results presented in the paper "Simulating realistic non-Gaussian state prep…☆15Updated 5 years ago
- This repo provides code and data to reproduce the results in the paper for "Electron Transfer Rules of Minerals under Pressure informed b…☆10Updated 2 years ago
- A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.☆14Updated 6 years ago
- Analyzing Complex Networks with Python☆10Updated 2 years ago
- Julia package for learning cellular sheaf Laplacians☆16Updated 4 years ago
- A curated list of Quantum Computing resources, articles, programming languages and projects. The main idea is that everyone can contribut…☆21Updated 2 years ago
- A Catlab-compatible implementation of acsets in python.☆12Updated last year
- I clearly unravel how I came to invent the supermanifold hypothesis in deep learning, (a part of a system called 'thought curvature') in …☆20Updated 2 years ago
- A cross platform C library for information analysis of dynamical systems☆24Updated 3 years ago
- Andrzej Chrzeszczyk's introduction to manifolds in SageMath☆8Updated 3 years ago
- python toolbox for calculations related to quantum entanglement (including squashed entanglement) "Speak Quantum Friend and Enter"☆15Updated 5 years ago