Optimizing Graph Codes for Measurement-Based Loss Tolerance
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Optimizing Graph Codes for Measurement-Based Loss Tolerance. / Bell, Thomas J.; Pettersson, Love A.; Paesani, Stefano.
In: Prx quantum, Vol. 4, No. 2, 020328, 17.05.2023.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Optimizing Graph Codes for Measurement-Based Loss Tolerance
AU - Bell, Thomas J.
AU - Pettersson, Love A.
AU - Paesani, Stefano
PY - 2023/5/17
Y1 - 2023/5/17
N2 - Graph codes play an important role in photonic quantum technologies as they provide significant protec-tion against qubit loss, a dominant noise mechanism. Here, we develop methods to analyze and optimize measurement-based tolerance to qubit loss and computational errors for arbitrary graph codes. Using these tools we identify optimized codes with up to 12 qubits and asymptotically large modular constructions. The developed methods enable significant benefits for various photonic quantum technologies, as we illustrate with novel all-photonic quantum repeater states for quantum communication and high-threshold fusion-based schemes for fault-tolerant quantum computing.
AB - Graph codes play an important role in photonic quantum technologies as they provide significant protec-tion against qubit loss, a dominant noise mechanism. Here, we develop methods to analyze and optimize measurement-based tolerance to qubit loss and computational errors for arbitrary graph codes. Using these tools we identify optimized codes with up to 12 qubits and asymptotically large modular constructions. The developed methods enable significant benefits for various photonic quantum technologies, as we illustrate with novel all-photonic quantum repeater states for quantum communication and high-threshold fusion-based schemes for fault-tolerant quantum computing.
U2 - 10.1103/PRXQuantum.4.020328
DO - 10.1103/PRXQuantum.4.020328
M3 - Journal article
VL - 4
JO - Prx quantum
JF - Prx quantum
SN - 2691-3399
IS - 2
M1 - 020328
ER -
ID: 352925784