Author

Yuichiro Nakano

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Open access Jul 2026

Qubit-efficient variational quantum optimization via Pauli correlation encoding: Application to large-scale power demand portfolio optimization

A qubit-efficient variational framework based on Pauli correlation encoding (PCE) is introduced and applied to electric power demand portfolio optimization, establishing PCE as a physically motivated and qubit-efficient framework for large-scale combinatorial optimization.

Takuya Yoshioka, Keita Sasada, Riku Usuki et al. · Physical Review Applied · 1 citation

Preprint Jul 2026

Scalable Variational Quantum Optimization via Pauli Correlation Encoding: Application to Large-Scale Power Demand Portfolio Optimization

This work introduces a scalable variational framework based on Pauli correlation encoding (PCE) and applies it to electric power demand portfolio optimization, establishing PCE as a physically motivated and qubit-efficient framework for large-scale combinatorial optimization.

Takuya Yoshioka, Keita Sasada, Riku Usuki et al. · 1 citation