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.
The loss func- tion is given by L = ⟨σz anc.⟩W − + λ X ⟨σ,ρ⟩∈P ⟨σ, ρ⟩ + ⟨σz anc.⟩P
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.