alejomonbar / Quantum-Supply-Chain-Manager
The quantum supply chain manager is a quantum solution for logistics problems. We use the power of quantum machine learning for product [backorder](https://www.investopedia.com/terms/b/backorder.asp) prediction and quantum optimization for finding the best route to pick those products with high demand to store them in strategic warehouses. With …
☆27Updated 2 years ago
Alternatives and similar repositories for Quantum-Supply-Chain-Manager:
Users that are interested in Quantum-Supply-Chain-Manager are comparing it to the libraries listed below
- Exploring various quantum annealing-based approaches to solve the vehicle routing problem as part of the QOSF Quantum Computing Mentorshi…☆11Updated 8 months ago
- Automatic tool for converting a high-level description of an optimization problem, written in Python, into an equivalent QUBO.☆14Updated last year
- Reinforcement Learning for Supply Chain Optimization☆14Updated 5 years ago
- Implementation of Quantum Graph Recurrent Neural Network (QGRNN)☆18Updated 4 years ago
- This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use c…☆23Updated 4 years ago
- ☆9Updated 3 years ago
- Determine which airports should be hub locations for an airline. Solved using the LeapHybridCQMSampler.☆10Updated 4 months ago
- Determine where to place new charging stations on a map based on locations of existing charging stations and points of interest.☆51Updated 3 weeks ago
- The aim of the project is leverage linear programming in supply chain optimization problem☆17Updated 4 years ago
- GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project☆38Updated 11 months ago
- Vehicle Route Optimization with Reinforcement Learning (SARSA and Q_Learning) for Final Year Project☆10Updated last year
- A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer☆24Updated last year
- Quantum Multi-agent Reinforcement Learning (QMARL)☆33Updated 2 years ago
- Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization☆14Updated 5 years ago
- PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)☆36Updated 2 years ago
- A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…☆19Updated 3 years ago
- Official implementation of "DR-ALNS: Deep Reinforced Adaptive Large Neighborhood Search"☆22Updated 4 months ago
- Implementation of QRL☆29Updated 5 years ago
- Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)☆39Updated 4 years ago
- Classical-Quantum hybrid model for credit card fraud detection☆22Updated 3 years ago
- This repository contains Evolutionary Algorithms that can be used for multi-objective optimization. Interactive optimization is supported…☆11Updated 9 months ago
- Q-learning based optimal path algorithm is a Reinforcement Learning algorithm☆13Updated 2 years ago
- Classical algorithms for solving binary quadratic models☆12Updated last month
- Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"☆16Updated 7 months ago
- Toolbox for quadratic binary optimization☆16Updated last month
- ☆21Updated 3 years ago
- Using qGANs for Quantum Portfolio Optimisation☆22Updated 4 years ago
- (Update-15-MAY-2020) A Vehicle Routing Problem Software. CVRP (Capacitated VRP), MDVRP (Multiple Depot VRP), VRPTW (VRP with Time Windows…☆13Updated last year
- ☆60Updated 8 years ago
- QUBO matrix generator for major combinatorial optimization problems written in Python☆24Updated 4 years ago