aiqbench analysis
This paper proposes a way to prepare Gottesman-Kitaev-Preskill (GKP) bosonic states that accounts for known photon loss, instead of treating loss as a fixed penalty. The authors report numerical gains in squeezing and loss resilience, with the best starting grid spacing differing from the ideal target and following a simple scaling relation for symmetric and hexagonal lattices. The results are simulations, so the practical benefit depends on experimental validation, but the strategy is cheap to apply where loss rates are characterized.
Loss-aware optimization of realistic GKP gid states
arXiv:2610.41388v1 Announce Type: new Abstract: Realistic preparation of Gottesman-Kitaev-Preskill (GKP) states, the prime candidates for quantum computation with bosonic systems, is inevitably burdened by photon loss. We show how taking this loss into account can lead to more robust quantum states, thereby diminishing its negative influence. Using GKP squeezing as an operational figure of merit, we formulate a loss-aware optimization procedure based on the ground state representation of GKP states. Numerical simulations for square, hexagonal, and asymmetric GKP states show that the optimal preparation generally requires a different initial grid spacing than that of the desired ideal code state. For symmetric and hexagonal lattices, the optimal parameters asymptotically follow the simple scaling relation. The optimized states exhibit better GKP squeezing and greater resilience to losses. These results provide a simple and experimentally relevant strategy for improving realistic photonic GKP state preparation in the presence of known photon loss.
Abstract:Realistic preparation of Gottesman-Kitaev-Preskill (GKP) states, the prime candidates for quantum computation with bosonic systems, is inevitably burdened by photon loss. We show how taking this loss into account can lead to more robust quantum states, thereby diminishing its negative influence. Using GKP squeezing as an operational figure of merit, we formulate a loss-aware optimization procedure based on the ground state representation of GKP states. Numerical simulations for square, hexagonal, and asymmetric GKP states show that the optimal preparation generally requires a different initial grid spacing than that of the desired ideal code state. For symmetric and hexagonal lattices, the optimal parameters asymptotically follow the simple scaling relation. The optimized states exhibit better GKP squeezing and greater resilience to losses. These results provide a simple and experimentally relevant strategy for improving realistic photonic GKP state preparation in the presence of known photon loss.
arXiv:2610.41388 [quant-ph]
(or arXiv:2610.41388v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.41388 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 234 words