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The research aims to evaluate the economic value of structural properties in erasure-biased noise models for photonic quantum buffers.

August 7, 2026Open Access

An Economic Case for Erasure-Biased OAM Front-Ends in Programmable Photonic Quantum Buffers

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Randomized trial assesses erasure-biased noise benefits in photonic quantum buffers, suggesting significant overhead reductions.

The research aims to evaluate the economic value of structural properties in erasure-biased noise models for photonic quantum buffers.
Utilized established quantum error correction results on erasure-biased noise to compute overhead reductions.
Compared three architectural options for memory: fiber-recirculation, cryogenic solid-state, and warm atomic vapor.
Analyzed the implications of presenting structural noise properties in commercial quantum memory systems.
Identified a 3.5x reduction in overhead at a representative fault-tolerance operating point.
Noted that surface-code thresholds are 4-6x higher for erasure-biased noise compared to generic Pauli noise.
Outlined a licensing-oriented approach that could enhance the commercial pathway for photonic memory.

Jean-yves Lozac'h (2026) studied this question.

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