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Impact of finite squeezing on near-term quantum computations using GKP qubits

Quantum Physics 2025-07-23 v1

Abstract

We present the first detailed simulation of a measurement based quantum computation based on Gottesman-Kitaev-Preskill (GKP) qubits within a quad-rail lattice (QRL) cluster state involving over 100 GKP modes. This was enabled by the recently developed functional matrix product states (FMPS) framework, with which we simulate continuous-variable (CV) quantum circuits while explicitly modelling intrinsic coherent error sources due to finite squeezing. We perform simulated randomised benchmarking across squeezing levels between 5 and 15 dB and find strong agreement with analytical estimates for high quality GKP qubits. As a demonstration of practical computation, we simulate a three-qubit Grover's algorithm within the QRL and identify a fundamental squeezing threshold -- approximately 10 dB -- beyond which the algorithm outperforms classical probability bounds.

Keywords

Cite

@article{arxiv.2507.15955,
  title  = {Impact of finite squeezing on near-term quantum computations using GKP qubits},
  author = {Frederik K. Marqversen and Andreas B. Michelsen and Janus H. Wesenberg and Nikolaj T. Zinner},
  journal= {arXiv preprint arXiv:2507.15955},
  year   = {2025}
}

Comments

16 pages, 11 figures