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
- Using qGANs for Quantum Portfolio Optimisation☆21Updated 3 years ago
- Source Code for 'Quantum Machine Learning with Python' by Santanu Pattanayak☆49Updated 3 years ago
- A Repository for all the resources to learn finance through Python☆39Updated last year
- A style-based Quantum Generative Adversarial Network☆12Updated 2 years ago
- Repository containing code for my learning of classical and quantum machine learning. Includes a variational quantum classifier, fully-co…☆11Updated 3 years ago
- A program that implements the portfolio optimization experiments using a hybrid quantum computing algorithm from arXiv:1911.05296. The co…☆28Updated 2 years ago
- We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers into the classical LSTM in order to impro…☆47Updated 2 years ago
- ☆15Updated 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
- In this Hands-On Guide On IBM's Quantum Open Science Prize 2021, we will go through all the things you'll need. It's an exciting journey …☆11Updated 2 years ago
- Quantum Machine Learning for FinTech and Time Series Data☆22Updated 5 years ago
- Financial Modeling using Quantum Computing, Published by Packt☆23Updated last year
- Repositório com Jupyter Notebooks sobre computação clássica e quântica aplicadas ao mercado financeiro em suporte ao artigo relacionado☆15Updated 2 years ago
- Learn Quantum Machine Learning☆64Updated 5 months ago
- Supporting material for https://arxiv.org/abs/1907.04769☆10Updated 3 years ago
- quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on d…☆24Updated last year
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆30Updated last month
- Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Pro…☆16Updated 3 years ago
- Solve different formulations of the portfolio optimization problem.☆49Updated 2 months ago
- CDL Quantum Hackathon 2021☆24Updated 3 years ago
- A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt☆72Updated last year
- A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.☆76Updated last year
- Classical-Quantum hybrid model for credit card fraud detection☆20Updated 3 years ago
- Classifying, auto-encoding and reverse-engineering QUBO matrices☆49Updated 3 years ago
- Code for implementing and experimenting with quantum algorithms☆68Updated last year
- Updated and most comprehensive Repository On Quantum Computing Resources. It contains all the material I use for my research on Quantum C…☆22Updated 11 months ago
- ORCA's QUBO solver running on a simulated PT-Series☆13Updated 3 years ago
- Toolkit for training quantum kernels in machine learning applications☆42Updated 10 months ago
- My personal quantum paper library☆187Updated last week
- A template repository for generating new quantum prototypes based on Qiskit☆41Updated 5 months ago