maximer-v / quantum-machine-learning-finance-cases
Repository to compile real-world gate-based quantum machine learning use cases in the finance sector.
☆22Updated 2 years ago
Alternatives and similar repositories for quantum-machine-learning-finance-cases:
Users that are interested in quantum-machine-learning-finance-cases are comparing it to the libraries listed below
- A program that implements the portfolio optimization experiments using a hybrid quantum computing algorithm from arXiv:1911.05296. The co…☆28Updated 2 years ago
- This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here th…☆23Updated last year
- Using qGANs for Quantum Portfolio Optimisation☆22Updated 4 years ago
- Solve different formulations of the portfolio optimization problem.☆51Updated last month
- A Repository for all the resources to learn finance through Python☆41Updated last year
- Financial Modeling using Quantum Computing, Published by Packt☆23Updated last year
- Source Code for 'Quantum Machine Learning with Python' by Santanu Pattanayak☆51Updated 4 years ago
- ☆15Updated 2 years ago
- Classifying, auto-encoding and reverse-engineering QUBO matrices☆52Updated 3 years ago
- List of some personal QML Projects☆16Updated last year
- We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers into the classical LSTM in order to impro…☆51Updated 3 years ago
- This repository contain links to notes, lectures and solutions to the the qiskit events from year 2020 to present☆13Updated 6 months ago
- A style-based Quantum Generative Adversarial Network☆12Updated 2 years ago
- Classical-Quantum hybrid model for credit card fraud detection☆21Updated 3 years ago
- Quantum Machine Learning for FinTech and Time Series Data☆22Updated 5 years ago
- This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it w…☆80Updated 3 years ago
- Learn Quantum Machine Learning☆68Updated 6 months ago
- Yet Another Introduction to Quantum Computing☆14Updated last week
- Demo notebooks for Qiskit application modules demo sessions (Oct 8 & 15):☆50Updated last year
- A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.☆78Updated last year
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆31Updated 3 weeks ago
- Supporting material for https://arxiv.org/abs/1907.04769☆9Updated 3 years ago
- Head-start on quantum computing.☆45Updated last week
- quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on d…☆24Updated last year
- Toolkit for training quantum kernels in machine learning applications☆43Updated 11 months ago
- Updated and most comprehensive Repository On Quantum Computing Resources. It contains all the material I use for my research on Quantum C…☆22Updated last year
- This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of …☆47Updated 4 years ago
- Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Pro…☆16Updated 3 years ago
- This repo is to contain material from the University of Toronto Quantum Machine Learning Course by Prof. Peter Wittek on edX☆83Updated 5 years ago
- Code for implementing and experimenting with quantum algorithms☆69Updated last year