Name: Animesh Nanda
Type: User
Company: ICTS-TIFR, Bangalore, India
Bio: Ph.D. researcher with expertise in exact diagonalization in quantum many-body physics, machine learning, quantum computation, and the monte-carlo method.
Location: Bangalore, India
Blog: https://www.icts.res.in/people/animesh-nanda
Animesh Nanda's Projects
QHack Quantum Machine Learning Hackathon - Team QLords
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
Quantum Finance
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using Pennylane.
Implementation of a research made by Pastorello and Blanzieri.
Source Code for 'Quantum Machine Learning' by Santanu Ganguly
Source Code for 'Quantum Machine Learning with Python' by Santanu Pattanayak
Using qGANs for Quantum Portfolio Optimisation
This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit environment. We evaluate the parameterized quantum circuit, reproduce the expressibility and entangling capability of the 19 circuits, and the classification accuracy.
This repository contains code with tutorials of how to approach optimization problems using quantum computing.
IBM Q Hackathon: Quantum Walk
Updated and most comprehensive Repository On Quantum Computing Resources. It contains all the material I use for my research on Quantum Computing for Both Theories and Codes - I update it regularly.
Companion site for the textbook Quantum Computing: An Applied Approach
Neural Network Many-Body Wavefunction Reconstruction
Quantum Integer Programming Syllabus
The max-cut problem on a random graph with 7 nodes is solved using QAOA, ED, Monte-Carlo, and simulated annealing.
Recommendation System using ML and DL
This repository hosts the Reference Guide for Quantum Computing, a Microsoft Garage project
Implementation of restricted Boltzmann machines in Tensorflow 2
Restricted Boltzmann Machines in Python.
A user-based collaborative recommendation system for rock climbing routes
This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".
Lectures on scientific computing with python, as IPython notebooks.
Python module for Simulated Annealing optimization
Examples of introductory Ocean programs and concepts.
Simulated Annealing algorithm to solve Travelling Salesmen Problem in Python