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This research establishes a unified framework linking sum-of-squares decompositions with variational two-particle reduced density matrix theory to enforce symmetry constraints in electronic structure Hamiltonians. By validating these near-frustration-free representations on complex systems like Iron-Sulfur clusters, the work offers practical pathways for improving spectral gap amplification and reducing block encoding costs in quantum algorithms.
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Near-frustration-free electronic structure Hamiltonian representations and lower bound certificates

arXiv2 min read

arXiv:2602.05069v2 Announce Type: replace Abstract: Hamiltonian representations based on the sum-of-squares (SOS) hierarchy provide rigorous lower bounds on ground-state energies and facilitate the design of efficient classical and quantum simulation algorithms. This work presents a unified framework connecting SOS decompositions with variational two-particle reduced density matrix (v2RDM) theory. We demonstrate that the ``weighted'' SOS ansatz naturally recovers the dual of the v2RDM program, enabling the strict enforcement of symmetry constraints such as particle number and spin. We provide explicit SOS constructions for the Hubbard model and electronic structure Hamiltonians, ranging from spin-free approximations to full rank-2 expansions. We also highlight theoretical connections to block-invariant symmetry shifts. Numerical benchmarks on molecular systems and Iron-Sulfur clusters validate these near frustration-free representations, demonstrating their utility in improving spectral gap amplification and reducing block encoding costs in quantum algorithms.

Abstract:Hamiltonian representations based on the sum-of-squares (SOS) hierarchy provide rigorous lower bounds on ground-state energies and facilitate the design of efficient classical and quantum simulation algorithms. This work presents a unified framework connecting SOS decompositions with variational two-particle reduced density matrix (v2RDM) theory. We demonstrate that the ``weighted'' SOS ansatz naturally recovers the dual of the v2RDM program, enabling the strict enforcement of symmetry constraints such as particle number and spin. We provide explicit SOS constructions for the Hubbard model and electronic structure Hamiltonians, ranging from spin-free approximations to full rank-2 expansions. We also highlight theoretical connections to block-invariant symmetry shifts. Numerical benchmarks on molecular systems and Iron-Sulfur clusters validate these near frustration-free representations, demonstrating their utility in improving spectral gap amplification and reducing block encoding costs in quantum algorithms.

Quantum Physics (quant-ph); Chemical Physics (physics.chem-ph)

arXiv:2602.05069 [quant-ph]

(or arXiv:2602.05069v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2602.05069 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 225 words

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