Qubit-Efficient Variational Quantum Optimization via Pauli Correlation Encoding: Application to Large-Scale Power Demand Portfolio Optimization
This work introduces a qubit-efficient method using Pauli Correlation Encoding (PCE) to solve large-scale power demand portfolio optimization. It represents complex binary choices as continuous relaxations derived from quantum correlation operators, allowing for compact quantum representations with few qubits while guiding the optimization toward a good solution.