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Certifying Quantum Optimization and Circuit Cutting by Using Quantum-Classical Moment Duality

arXiv:2606.23727v1 Announce Type: new Abstract: We establish a direct quantum-classical duality based on the degree-$2$ Sum-of-Squares (SoS) semidefinite progra...

Quantum Editorial Team
June 24, 2026
1 min read
This article has been aggregated from arXiv quant-ph. You can read the original publication at https://arxiv.org/abs/2606.23727.
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Certifying Quantum Optimization and Circuit Cutting by Using Quantum-Classical Moment Duality

Source: Originally published on arXiv quant-ph on June 24, 2026.

arXiv:2606.23727v1 Announce Type: new Abstract: We establish a direct quantum-classical duality based on the degree-$2$ Sum-of-Squares (SoS) semidefinite programming cone: the matrix of two-qubit Pauli-$Z$ correlation functions obtained from \emph{any} quantum state $\rho$ is automatically a feasible point of the classical Goemans-Williamson (GW) relaxation. This observation provides a universal ``safety net'' for quantum optimization algorithms: applying GW random hyperplane rounding to the quantum-driven moment matrix yields a certified expected cut value $\mathbb{E}[\mathrm{Cut}] \ge \alpha_{\mathrm{GW}}\langle\mathcal{H}\rangle_\rho$, valid for every state produced by variational algorithms such as QAOA or the Variational Quantum Power Method (VQPM), regardless of convergen...


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