narendrahegade5 Goto Github PK

-47-generating-control-time-evolution-operator-on-nisq-device

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-quantumcomputing

This repos records how I grow up in quantum computing.

blueqat

Quantum Computer Library for Everyone

blueqat-tutorials

Basic tutorials for Blueqat

constant_depth_circuits

Code to generate constant-depth circuits for dynamic simulations of materials on quantum computers

counterdiabatic-driving

Adiabatic transport

delayed_choice_experiment

Investigation of quantum delayed choice experiment using IBMQ

entropica_qaoa

EntropicaQAOA is a modular package for the quantum approximate optimisation algorithm (QAOA) built on top of Rigetti’s Forest SDK.

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

my-profile

Hi! Welcome to my page

mywebsitenew

A beautiful, simple, clean, and responsive Jekyll theme for academics

narendra.hegade.github.io

My personal website

narendrahegade5.github.io

My Personal Website

neural-networks-demystified

Supporting code for short YouTube series Neural Networks Demystified.

nisq-implementations

A curated list of NISQ implementations.

optimizations_via_openpulse

pytket

Python module for interfacing with the CQC t|ket> library of quantum software

qcm-tasks

qcm_task

qiskit-dynamics

Tools for building and solving models of quantum systems in Qiskit

qiskit-hackathon-kolkata-20

qiskit-iqx-tutorials

A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience

qiskit-terra

Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.

qsoftware-code

qst_review_working_examples

Working examples for a static and dynamic materials simulation on a quantum computer

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

quantum-adiabatic-evolution

quantum-algorithms-tutorials

Tutorials for Quantum Algorithms

quantum-approximate-thermalization

Implementation of Quantum Approximate Thermalization using Qiskit which involves performing approximated simulation of annealing to do Gibbs sampling of the given system. Based on https://arxiv.org/pdf/1712.05304.pdf