RandomMeas.jl is a modular Julia package implementing randomized measurement protocols and classical shadow estimators for quantum computing applications.
Practical quantum error mitigation for near-future applications
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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quant-ph 2years
2025 2representative citing papers
Introduces metrics, criteria, and taxonomy for linear quantum error mitigation methods with an example strategy for stochastic and rotational errors on characterized hardware, emphasizing precise characterization.
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RandomMeas.jl: A Julia Package for Randomized Measurements in Quantum Devices
RandomMeas.jl is a modular Julia package implementing randomized measurement protocols and classical shadow estimators for quantum computing applications.
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Certification and Classification of Linear Quantum Error Mitigation Methods
Introduces metrics, criteria, and taxonomy for linear quantum error mitigation methods with an example strategy for stochastic and rotational errors on characterized hardware, emphasizing precise characterization.