Product-State Lifting (PSL) upgrades any basis-state vQSDP to k-degree polynomial optimization via product-register encoding, with linear resource scaling and k-independent constraints.
One method uses sample-efficent estimation (SEE) and yields an un-rounded solution
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Elevating Variational Quantum Semidefinite Programs for Polynomial Objectives
Product-State Lifting (PSL) upgrades any basis-state vQSDP to k-degree polynomial optimization via product-register encoding, with linear resource scaling and k-independent constraints.