Closed-form expressions and circuit compression enable efficient strong and weak simulation of noisy stabilizer circuits with non-deterministic measurements.
The simplest strategy,S−α, exhibits its typical behav- ior, requiring fewer resources to achieve higher fidelity in the presence of asymmetric noise
4 Pith papers cite this work. Polarity classification is still indexing.
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quant-ph 4years
2026 4verdicts
UNVERDICTED 4roles
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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.
Simplified error models such as Pauli twirling lead to severe discrepancies, including under/over-estimation, measurement dependencies, and fidelity oscillations, in iterative quantum network protocols.
Proposes using idle times to generate increasingly powerful multipartite entangled auxiliary states whose computational utility scales with entanglement features, illustrated by d-dimensional cluster states enabling parallel long-distance gates in 1D architectures.
citing papers explorer
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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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Limitations of Error Model Approximations in Quantum Network Simulation
Simplified error models such as Pauli twirling lead to severe discrepancies, including under/over-estimation, measurement dependencies, and fidelity oscillations, in iterative quantum network protocols.
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Enhancing quantum processor capabilities during idle times
Proposes using idle times to generate increasingly powerful multipartite entangled auxiliary states whose computational utility scales with entanglement features, illustrated by d-dimensional cluster states enabling parallel long-distance gates in 1D architectures.