Analysis of the Vehicle Routing Problem Solved via Hybrid Quantum Algorithms in the Presence of Noisy Channels
Author:
Affiliation:
1. Centre for Quantum Software and Information, University of Technology Sydney, Sydney, NSW, Australia
2. Bikash's Quantum (OPC) Pvt. Ltd., Mohanpur, India
Funder
Centre for Quantum Software and Information
University of Technology Sydney and Sydney Quantum Academy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Engineering (miscellaneous),Condensed Matter Physics,Computer Science (miscellaneous),Software
Link
http://xplorestaging.ieee.org/ielx7/8924785/9998549/10214310.pdf?arnumber=10214310
Reference39 articles.
1. A QUBO Model for the Traveling Salesman Problem with Time Windows
2. Efficiently embedding QUBO problems on adiabatic quantum computers
3. Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm
4. Qiskit: Vehicle routing,0
5. The unconstrained binary quadratic programming problem: a survey
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1. Solving the vehicle routing problem via quantum support vector machines;Quantum Machine Intelligence;2024-06
2. Qubit Efficient Quantum Algorithms for the Vehicle Routing Problem on Noisy Intermediate‐Scale Quantum Processors;Advanced Quantum Technologies;2024-04-21
3. QOPTLib: A Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems;Benchmarks and Hybrid Algorithms in Optimization and Applications;2023
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