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Fusion and flow: formal protocols to reliably build photonic graph states
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Photonics offers a promising platform for implementations of measurement-based quantum computing. Recently proposed fusion-based architectures aim to achieve universality and fault-tolerance. In these approaches, computation is carried out by performing fusion and single-qubit measurements on a resource graph state. The verification of these architectures requires linear algebraic, probabilistic, and control flow structures to be combined in a unified formal language. This paper develops a framework for photonic quantum computing by bringing together linear optics, ZX calculus, and dataflow programming. We characterize fusion measurements that induce Pauli errors and show that they are correctable using a novel flow structure for fusion networks. We prove the correctness of new repeat-until-success protocols for the realization of arbitrary fusions and provide a graph-theoretic proof of universality for linear optics with entangled photon sources. The proposed framework paves the way for the development of compilation algorithms for photonic quantum computing.
Forward citations
Cited by 2 Pith papers
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Finding trail covers: near-optimal decompositions of graph states as linear fusion networks
The fusion-minimization problem for photonic graph states is formalized as minimum trail cover; most bounded variants are NP-hard, but heuristics plus a TSP reduction give near-optimal fusion counts in benchmarks.
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Adaptive Framework for Failure-Aware Protocols in Fusion-Based Graph-State Generation
Adaptive reuse of partially built graph states after failed fusion measurements, combined with graph-theoretic ordering, can cut expected fusion overhead by orders of magnitude relative to repeat-until-success.
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