SashwatAnagolum / DoNew
Repository for storing quantum computing algorithms.
☆61Updated 3 years ago
Related projects: ⓘ
- A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.☆70Updated 11 months ago
- Code for implementing and experimenting with quantum algorithms☆65Updated 11 months ago
- Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit☆67Updated 3 years ago
- An example of a variational quantum classifier implemented with qiskit using only elementary gates.☆28Updated 4 years ago
- Exploring QCNNs for Classifying Phases of Matter☆48Updated 3 years ago
- quantum convolutional neural network - simulations☆94Updated 4 years ago
- A Python framework for the variational quantum classifier☆29Updated 5 years ago
- ☆33Updated 3 years ago
- Recent advances in many fields have accelerated the demand for classification, regression, and detection problems from few 2D images/proj…☆33Updated 3 years ago
- This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit en…☆46Updated 2 years ago
- Repository containing code for my learning of classical and quantum machine learning. Includes a variational quantum classifier, fully-co…☆11Updated 2 years ago
- A Google Summer of Code 2021 Project Repository. This project aims to demonstrate quantum machine learning's potential, specifically Quan…☆26Updated last year
- ☆136Updated last year
- Search with Quantum Singular Value Transformation in Qiskit☆46Updated 2 years ago
- Quantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basi…☆21Updated 3 years ago
- Example of a Quantum LSTM☆83Updated 2 years ago
- ☆64Updated 2 years ago
- QDataSet: Quantum Datasets for Machine Learning☆93Updated 3 years ago
- A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum a…☆55Updated 3 years ago
- The power of quantum neural networks☆47Updated 2 years ago
- Toolkit for training quantum kernels in machine learning applications☆39Updated 5 months ago
- qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy p…☆30Updated last year
- This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of …☆44Updated 4 years ago
- Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using P…☆24Updated 3 years ago
- Introduction into QSVM☆48Updated 4 years ago
- ☆31Updated 10 months ago
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆27Updated this week
- Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Pro…☆13Updated 3 years ago
- A python library for quantum machine learning and quantum deep learning, built on top of qiskit and pennylane☆36Updated 5 months ago
- Optimize QAOA circuits for graph maxcut using tensorflow☆29Updated 5 years ago