Resource-efficient loss-aware photonic graph state preparation using atomic emitters
Eneet Kaur, Ashlesha Patil, Saikat Guha

TL;DR
This paper introduces an algorithm for resource-efficient photonic graph state preparation using atomic emitters, optimizing the tradeoff between emitter number and graph depth to improve quantum communication rates.
Contribution
The paper presents a novel algorithm that reduces resource requirements for photonic graph state generation by balancing emitter count and circuit depth, outperforming existing methods.
Findings
Achieves superior rate-distance tradeoff in quantum repeaters
Uses five orders of magnitude fewer emitters than linear-optics methods
Minimizes emitter CNOT gates to reduce photon loss
Abstract
Multi-qubit entangled photonic graph states are an important ingredient for all-photonic quantum computing, repeaters and networking. Preparing them using probabilistic stitching of single photons using linear optics presents a formidable resource challenge due to multiplexing needs. Quantum emitters provide a viable solution to prepare photonic graph states as they enable deterministic production of photons entangled with emitter qubits, and deterministic two-qubit interactions among emitters. A handful of emitters often suffice to generate useful-size graph states that would otherwise require millions of emitters used as single photon sources, using the linear-optics method. Photon loss however impedes the emitter method due to a large circuit depth, and hence loss accrual on the photons of the graph state produced, given the typically large number of slow two-qubit CNOT gates between…
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Taxonomy
TopicsOptical Network Technologies · Photonic and Optical Devices · Neural Networks and Reservoir Computing
