- Open Access
Beyond Stellar Rank: Control Parameters for Scalable Optical Non-Gaussian State Generation
Phys. Rev. X 16, 021034 – Published 13 May, 2026
DOI: https://doi.org/10.1103/ldbf-vbyp
Abstract
Advanced quantum technologies rely on non-Gaussian states of light, essential for universal quantum computation, fault-tolerant error correction, and quantum sensing. Their practical realization, however, faces hurdles: Simulating large multimode generators is computationally demanding, and benchmarks such as the stellar rank do not capture how effectively photon detections yield useful non-Gaussianity. We address these challenges by introducing the non-Gaussian control parameters , a continuous and operational measure that goes beyond stellar rank. Leveraging these parameters, we develop a universal optimization method that reduces photon-number requirements and greatly enhances success probabilities while preserving state quality. Applied to the Gottesman-Kitaev-Preskill state generation, for example, our method cuts the required photon detections by a factor of 3 and raises the preparation probability by nearly . Demonstrations across cat states, cubic phase states, Gottesman-Kitaev-Preskill states, and even random states confirm broad gains in experimental feasibility. Our results provide a unifying principle for resource-efficient non-Gaussian state generation, charting a practical route toward scalable optical quantum technologies and fault-tolerant quantum computation.
Physics Subject Headings (PhySH)
Popular Summary
Advanced quantum technologies rely on non-Gaussian states of light for universal quantum computation, fault-tolerant error correction, and quantum sensing. We address the hurdles of multimode simulation and inadequate benchmarking by introducing non-Gaussian control parameters, which provide a continuous and operational measure of non-Gaussianity beyond traditional stellar rank. Using these parameters, we develop a universal optimization method that preserves state quality while significantly reducing photon-number requirements and boosting success probabilities. For example, when applied to Gottesman-Kitaev-Preskill state generation, our approach reduces the number of photon detections needed by three and raises preparation probability by orders of magnitude. These results provide a unifying principle for resource-efficient state engineering and establish a practical route toward scaling optical quantum technologies for fault-tolerant computation.
Article Text
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