The authors introduce MuTA as a universal quantum neural network for MBQC and numerically demonstrate its ability to learn gates, classify quantum states, and process data under noise, including photonic hardware constraints.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
quant-ph 2years
2024 2verdicts
UNVERDICTED 2representative citing papers
Proposes multi-component bridge states outside cat code space for syndrome extraction in teleportation-based cat code QEC when nonlinear interactions are limiting.
citing papers explorer
-
Measurement-based quantum machine learning
The authors introduce MuTA as a universal quantum neural network for MBQC and numerically demonstrate its ability to learn gates, classify quantum states, and process data under noise, including photonic hardware constraints.
-
Use of Faulty States in Cat-Code Error Correction
Proposes multi-component bridge states outside cat code space for syndrome extraction in teleportation-based cat code QEC when nonlinear interactions are limiting.