Mapping of Fermionic Lattice Models for Ising Solvers

• URL: http://arxiv.org/abs/2508.17766v1
• Date: Mon, 25 Aug 2025 08:03:11 GMT
• Title: Mapping of Fermionic Lattice Models for Ising Solvers
• Abstract summary: We present an end-to-end, symmetry-aware pipeline that converts interacting fermionic and quantum-spin models into annealer-ready QUBOs.<n>A replication-factor study quantifies the accuracy-overhead trade-off, with order-of-magnitude error reduction and diminishing returns beyond r Nq.<n>The results establish a practical pathway for mapping quantum matter to current annealers, with clear knobs for fidelity, resources, and embedding.
• Score: 3.742089440617742
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present an end-to-end, symmetry-aware pipeline that converts interacting fermionic and quantum-spin models into annealer-ready QUBOs while preserving low-energy physics. The workflow combines Bravyi-Kitaev encoding, exact Z2 symmetry tapering, Xia-Bian-Kais (XBK) diagonalization to a Z-only form, and k-local to 2-local quadratization, with ground energies recovered via a Dinkelbach fixed-point over the resulting Ising objective. We validate the approach across a complexity ladder: (i) a frustrated 2D Ising model run on a D-Wave Advantage QPU reproduces the known ferromagnet-stripe transition; (ii) finite-temperature checks on 1D Ising recover standard finite-size trends; (iii) a genuinely quantum spin target (XXZ) matches exact diagonalization (ED) on small chains; and (iv) interacting fermions (t-V) in 1D (rings L=2-8) show ED-level energies and the expected kink near V/t ~ 2, with a 2D 2x2 cluster tracking ED slopes up to a uniform offset. A replication-factor study quantifies the accuracy-overhead trade-off, with order-of-magnitude error reduction and diminishing returns beyond r ~ Nq. Except for the classical Ising benchmark and molecular benchmarks, experiments use D-Wave's public DIMOD and Neal simulators; a molecular benzene case in the appendix illustrates portability beyond lattices. The results establish a practical pathway for mapping quantum matter to current annealers, with clear knobs for fidelity, resources, and embedding.

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