RandomMeas.jl: A Julia Package for Randomized Measurements in Quantum Devices
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908998565888000 |
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| author | Elben, Andreas Vermersch, Benoît |
| author_facet | Elben, Andreas Vermersch, Benoît |
| contents | We 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. $\texttt{RandomMeas$.$jl}$ 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_12749 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | RandomMeas.jl: A Julia Package for Randomized Measurements in Quantum Devices Elben, Andreas Vermersch, Benoît Quantum Physics We 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. $\texttt{RandomMeas$.$jl}$ 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 |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2509.12749 |