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Quantum annealing for industry applications: Introduction and review
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …
solve combinatorial optimization problems. In recent years, advances in quantum …
Quantum computing in logistics and supply chain management an overview
The work explores the integration of quantum computing into logistics and supply chain
management, emphasising its potential for use in complex optimisation problems. The …
management, emphasising its potential for use in complex optimisation problems. The …
Assessing the benefits and risks of quantum computers
Quantum computing is an emerging technology with potentially far-reaching implications for
national prosperity and security. Understanding the timeframes over which economic …
national prosperity and security. Understanding the timeframes over which economic …
[HTML][HTML] Quantum annealing in the NISQ era: railway conflict management
We are in the noisy intermediate-scale quantum (NISQ) devices' era, in which quantum
hardware has become available for application in real-world problems. However …
hardware has become available for application in real-world problems. However …
Transfer of logistics optimizations to material flow resource optimizations using quantum computing
The complexity of industrial logistics and manufacturing processes increases constantly. As
a key enabling technology of the upcoming decades, quantum computing is expected to …
a key enabling technology of the upcoming decades, quantum computing is expected to …
Quantum annealing versus classical solvers: Applications, challenges and limitations for optimisation problems
FA Quinton, PAS Myhr, M Barani… - arxiv preprint arxiv …, 2024 - arxiv.org
Quantum computing is rapidly advancing, harnessing the power of qubits' superposition and
entanglement for computational advantages over classical systems. However, scalability …
entanglement for computational advantages over classical systems. However, scalability …
Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
There has never been a more exciting time for the future of quantum computing than now.
Real-world quantum computing usage is now the next XPRIZE. With that challenge in mind …
Real-world quantum computing usage is now the next XPRIZE. With that challenge in mind …
Scheduling of Satellite Constellation Operations in EO Missions Using Quantum Optimization
Abstract As Earth Observation (EO) missions advance towards Agile Earth Observation
Satellites, the complexity of scheduling problems increases, posing challenges for traditional …
Satellites, the complexity of scheduling problems increases, posing challenges for traditional …
Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach
We address the applicability of hybrid quantum-classical heuristics for practical railway
rescheduling management problems. We build an integer linear model for the given …
rescheduling management problems. We build an integer linear model for the given …
[PDF][PDF] Application of a Hybrid Algorithm Based on Quantum Annealing to Solve a Metropolitan Scale Railway Dispatching Problem.
We address the applicability of quantum-classical hybrid solvers for practical railway
dispatching/conflict management problems, with a demonstration on real-life metropolitan …
dispatching/conflict management problems, with a demonstration on real-life metropolitan …