Enhancing Pauli Correlation Encoding for quantum optimization via systematic expressivity analysis
A systematic analysis of expressivity and trainability of Pauli Correlation Encoding and a multistage continuation framework that gradually transforms a smooth relaxed objective into a sharper objective that more closely approximates the target discrete problem are proposed.
Riku Usuki, Don Arai, Ken N. Okada et al.
· 0 citations