bharathijeeva's repositories
bharathik.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
complex-system-simulation
Coupled linear ODEs to model relationship dynamics
q-search
Quantum Walk Search Algorithm
Nonlinear-Dynamics
Files related to my Summer of Science Report on Nonlinear Dynamics
EffectiveLindbladian
Compute the terms beyond the standard RWA treatment in the Kerr-cat Lindbladian
Pendulum-Reservoir
Python3 codes implementing the single pendulum reservoir architecture described in the article "Machine-learning potential of a single pendulum"
julia-ml-course
Julia programming for Machine Learning course at TU Berlin
bharathijeeva.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
learning-quantum-process
Using very few experiments to efficiently learn an approximate model of an n-qubit quantum process.
periodic_lipkin
Periodically driven Lipkin Meshkov Glick Model
hva-without-barren-plateaus
Repositoy for "Hamiltonian variational ansatz without barren plateaus"
hsinyuan-huang.github.io
Homepage at https://hsinyuan-huang.github.io/
EpiQ-Epidemiological-Solutions-with-Quantum-Annealing-and-Quantum-Machine-Learning
Lockdown Management with Quantum Annealers
higher-order-quantum-reservoir
Source code to run experiments on higher-order quantum reservoir computing
Irreversible-Entropy-Production
Code for numerical simulation of a spin-star model, with the role of investigating the behaviour of entropy production in open quantum systems
lattice-symmetries
A package to simplify working with symmetry-adapted quantum many-body bases. Provides a good foundation for writing custom exact diagonalization and variational Monte Carlo software
bristol
Parallel random matrix tools and complexity for deep learning
provable-ml-quantum
Code for predicting ground states and classifying phases of matter
quantum-transfer-learning
A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.
ReCirq
Research using Cirq!
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Variational-Feynman-Kitaev
This repository contains the source code for the VFK algorithm introduced in ArXiv:2204.03454