FujitsuResearch / autoqubo
Automatic tool for converting a high-level description of an optimization problem, written in Python, into an equivalent QUBO.
☆13Updated 8 months ago
Related projects: ⓘ
- QUBO matrix generator for major combinatorial optimization problems written in Python☆23Updated 3 years ago
- Toolbox for quadratic binary optimization☆11Updated last month
- Exploring various quantum annealing-based approaches to solve the vehicle routing problem as part of the QOSF Quantum Computing Mentorshi…☆9Updated last month
- Implementation of Quantum Graph Recurrent Neural Network (QGRNN)☆16Updated 3 years ago
- Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization☆13Updated 4 years ago
- The quantum supply chain manager is a quantum solution for logistics problems. We use the power of quantum machine learning for product […☆22Updated 2 years ago
- Classifying, auto-encoding and reverse-engineering QUBO matrices☆43Updated 2 years ago
- Quantum Integer Programming Syllabus☆18Updated 3 years ago
- JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.☆43Updated last year
- Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.☆15Updated 2 years ago
- Simulated Annealing for MAX-CUT problems on {+1,-1}-weighted complete graphs☆9Updated 5 years ago
- ☆21Updated 3 years ago
- ☆13Updated 2 years ago
- Deep reinforcement learning for spIn-glass gRound stAte Calculation☆18Updated last year
- Determine which airports should be hub locations for an airline. Solved using the LeapHybridCQMSampler.☆8Updated 10 months ago
- A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer☆22Updated 11 months ago
- ML4MILP: the first benchmark dataset specifically designed to test ML-based algorithms for solving MILP problems☆9Updated last month
- Controlled Online Optimization Learning (COOL): Finding the Ground State of Spin Hamiltonians with Reinforcement Learning (arXiv:2003.000…☆12Updated 4 years ago
- Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)☆18Updated last year
- The one-stop package for formulating, simulating, and solving problems in boolean and spin form☆37Updated last month
- Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems☆8Updated 6 months ago
- ☆11Updated 2 years ago
- This repo contains the simulations found in the paper "Calculating Nash equilibrium on quantum annealers"☆4Updated 7 months ago
- ORCA's QUBO solver running on a simulated PT-Series☆13Updated 2 years ago
- ☆138Updated 7 months ago
- ☆14Updated 2 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆35Updated 2 months ago
- Community detection in complex networks using hybrid quantum annealing on Amazon Braket☆12Updated last year
- Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)☆37Updated 3 years ago
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆15Updated 6 months ago