Quantum Annealing Implementation for Optimization Problems

Quantum Annealing Embedded in Classical Optimization Workflows

The theory and practical implementation of quantum annealing for project scheduling and resource-allocation tasks that can be mapped to Ising or Quadratic Unconstrained Binary Optimization models are explored.

Hybrid Quantum Classical Integration

The theoretical foundations and the practical implementation of quantum annealing for project scheduling and resource-allocation problems formulated as Ising or Quadratic Unconstrained Binary Optimization (QUBO) models are examined.

Formulations for Quantum Annealed Project Scheduling

This paper develops the QUBO formulation in detail: choice of binary variables, linear and quadratic objective terms, conversion of precedence and resource constraints into penalty functions, and calibration of penalty weights.

Quantum Computing for Logistics Optimization: Annealing in ULD Configuration and Disruption

This paper presents a comprehensive investigation of quantum annealing and hybrid quantum-classical algorithms applied to unit load device (ULD) configuration and disruption management in air cargo and multimodal logistics networks, and provides a practical roadmap for near-term adoption of quantum technologies in high...

Solving variants of the Multi-Mode Resource Constrained Project Scheduling Problem with quantum annealing

Towards Scalable Quantum Unit Commitment in Power Systems: Encoding and Complexity Reduction Techniques

This paper develops a Quantum optimisation Unit Commitment (UC) framework that benefits from Pauli Correlation Encoding (PCE) as a qubit reduction preprocessing technique and Sample-based Quantum Diagonalisation (SQD) as a hybrid post-processing refinement method. The UC problem is formulated in binary form, then trans...