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  "path": "/papers/q-2026-04-28-2086/",
  "publishedAt": "2026-04-28T08:19:54.000Z",
  "site": "https://quantum-journal.org",
  "tags": [
    "Paper",
    "https://doi.org/10.22331/q-2026-04-28-2086"
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  "textContent": "Quantum 10, 2086 (2026).\n\nhttps://doi.org/10.22331/q-2026-04-28-2086\n\nWe introduce $\\texttt{RandomMeas.jl}$, a modular and high-performance open-source software package written in Julia for implementing and analyzing randomized measurement protocols in quantum computing. Randomized measurements provide a powerful framework for extracting properties of quantum states and processes such as expectation values, entanglement, and fidelities using simple experimental procedures combined with classical post-processing, most prominently via the classical shadow formalism. RandomMeas.jl covers the full randomized measurement workflow, from the generation of measurement settings for use on a quantum computer, the optional classical simulation of randomized measurements with tensor networks, to a suite of estimators for physical properties based on classical shadows. The package includes advanced features such as robust and shallow shadow techniques, batch estimators, and built-in statistical uncertainty estimation. Its unified, composable design enables the scalable application and further development of randomized measurements protocols across theoretical and experimental contexts.",
  "title": "RandomMeas.jl: A Julia Package for Randomized Measurements in Quantum Devices"
}