adelshb / quantum-portfolio-optimization
Portfolio Optimization on a Quantum computer.
☆14Updated 3 years ago
Alternatives and similar repositories for quantum-portfolio-optimization
Users that are interested in quantum-portfolio-optimization are comparing it to the libraries listed below
Sorting:
- A style-based Quantum Generative Adversarial Network☆12Updated 2 years ago
- Classifying, auto-encoding and reverse-engineering QUBO matrices☆52Updated 3 years ago
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆31Updated last week
- Implementation of Quantum Approximate Optimization Algorithm (QAOA) to solve the MAXCUT problem in Google Cirq framework.☆9Updated 5 years ago
- Implementation of a new Quantum Oracle for solving the Max-Cut Problem with Grover Search Algorithm☆9Updated 8 months ago
- Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Pro…☆17Updated 3 years ago
- Docker image for quantum laboratory☆16Updated 10 months ago
- 🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)☆22Updated 6 years ago
- This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.☆43Updated last week
- open-source library for quantum algorithms (simulation, optimization, machine learning)☆20Updated 3 months ago
- The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.☆56Updated last week
- A program that implements the portfolio optimization experiments using a hybrid quantum computing algorithm from arXiv:1911.05296. The co…☆28Updated 2 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
- A multiprotocol and multiplatform quantum random number generation framework☆26Updated 3 years ago
- Reduce the measurement costs of the VQE algorithm by simultaneously measuring mutually commuting terms.☆15Updated 3 years ago
- Implementation of an algorithm for training Quantum Boltzmann Machine neural networks using variational methods. Based on https://arxiv.o…☆14Updated 5 years ago
- Supporting material for https://arxiv.org/abs/1907.04769☆9Updated 3 years ago
- Using qGANs for Quantum Portfolio Optimisation☆22Updated 4 years ago
- A compiler for quantum computers based on A* and numerical optimization.☆29Updated 2 years ago
- A Python framework for the quantum autoencoder☆27Updated 6 years ago
- The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine l…☆38Updated last week
- Implementation of Variational Quantum Factoring algorithm.☆54Updated last year
- Optimize QAOA circuits for graph maxcut using tensorflow☆30Updated 6 years ago
- A Python framework for the variational quantum classifier☆30Updated 6 years ago
- Benchmark quantum circuits before and after optimization.☆24Updated 7 years ago
- A Quantum Interconnect Simulator for Distributed Quantum Algorithms☆45Updated 3 years ago
- The PennyLane-AQT plugin integrates Alpine Quantum Technologies' ion-trap quantum computing hardware with with PennyLane's quantum machin…☆14Updated this week
- Accelerating Qibo simulation with just-in-time compilation.☆16Updated last week
- Toolkit for training quantum kernels in machine learning applications☆43Updated last year
- QED-C: The Quantum Economic Development Consortium provides these computer programs and software for use in the fields of quantum science…☆157Updated this week