Tailoring fusion-based photonic quantum computing schemes to quantum emitters
Ming Lai Chan, Thomas J. Bell, Love A. Pettersson, Susan X. Chen, Patrick Yard, Anders S{\o}ndberg S{\o}rensen, and Stefano Paesani

TL;DR
This paper proposes fusion-based photonic quantum computing architectures optimized for quantum emitters, demonstrating high error tolerance and fault-tolerance thresholds suitable for scalable, fault-tolerant quantum hardware.
Contribution
It introduces tailored fusion-based architectures for quantum emitters, analyzing their error thresholds and providing design guidelines for fault-tolerant photonic quantum computing.
Findings
Fault-tolerance threshold of 8% for photon loss
Photon distinguishability threshold of 4%
Spin noise thresholds above memory-induced errors
Abstract
Fusion-based quantum computation is a promising quantum computing model where small-sized photonic resource states are simultaneously entangled and measured by fusion gates. Such operations can be readily implemented with scalable photonic hardware: resource states can be deterministically generated by quantum emitters and fusions require only shallow linear-optical circuits. Here, we propose fusion-based architectures tailored to the capabilities and noise models in quantum emitters. We show that high tolerance to dominant physical error mechanisms can be achieved, with fault-tolerance thresholds of 8% for photon loss, 4% for photon distinguishability between emitters, and spin noise thresholds well above memory-induced errors for typical spin-photon interfaces. Our construction and analysis provide guidelines for the development of photonic quantum hardware targeting fault-tolerant…
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Taxonomy
TopicsOptical Network Technologies · Neural Networks and Reservoir Computing · Quantum Information and Cryptography
