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.
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A graph-based bounded distance decoder corrects all errors up to a chosen weight in arbitrary stabilizer codes by representing stabilizers and syndromes as graphs and pruning the search space with a feed-forward structure.
Closed-form expressions and circuit compression enable efficient strong and weak simulation of noisy stabilizer circuits with non-deterministic measurements.
Localized Entanglement Purification (LEP) is a new family of protocols that purifies entanglement at the level of network regions by exploiting spatial noise asymmetries to reduce resource consumption for larger quantum systems.
A systematic graph-state protocol yields a family of [[n,1,3]] non-CSS codes that preserve bare-ancilla fault tolerance against hook errors and includes one code with higher rate than prior examples under depolarizing noise.
A game-theoretic framework over graph-state stabilizer codes allegedly rediscovers known quantum codes and scales to n=100, but the formalism as written yields zero logical qubits and the validation is best-of-run.
citing papers explorer
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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.
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A graph-aware bounded distance decoder for all stabilizer codes
A graph-based bounded distance decoder corrects all errors up to a chosen weight in arbitrary stabilizer codes by representing stabilizers and syndromes as graphs and pruning the search space with a feed-forward structure.
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Analytical and Compressed Simulation of Noisy Stabilizer Circuits
Closed-form expressions and circuit compression enable efficient strong and weak simulation of noisy stabilizer circuits with non-deterministic measurements.
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Localized Entanglement Purification
Localized Entanglement Purification (LEP) is a new family of protocols that purifies entanglement at the level of network regions by exploiting spatial noise asymmetries to reduce resource consumption for larger quantum systems.
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Fault-tolerant syndrome extraction in [[n,1,3]] non-CSS code family generated using measurements on graph states
A systematic graph-state protocol yields a family of [[n,1,3]] non-CSS codes that preserve bare-ancilla fault tolerance against hook errors and includes one code with higher rate than prior examples under depolarizing noise.
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Game-Theoretic Discovery of Quantum Error-Correcting Codes Through Nash Equilibria
A game-theoretic framework over graph-state stabilizer codes allegedly rediscovers known quantum codes and scales to n=100, but the formalism as written yields zero logical qubits and the validation is best-of-run.
- Universal Z-only Correction for Distributing Arbitrary Graph States in Quantum Networks