A methodology to select and adjust quantum noise models through emulators: benchmarking against real backends

Research article (EPJ Quantum Technology, 2024) · cited 10× · AI/ML
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A methodology to select and adjust quantum noise models through emulators: benchmarking against real backends

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A methodology to select and adjust quantum noise models through emulators: benchmarking against real backends is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A methodology to select and adjust quantum noise models through emulators: benchmarking against real backends. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-methodology-to-select-and-adjust-quantum-noise-models-through-emulators-benchmarking-against-real-backends
MLA “A methodology to select and adjust quantum noise models through emulators: benchmarking against real backends.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-methodology-to-select-and-adjust-quantum-noise-models-through-emulators-benchmarking-against-real-backends.
BibTeX @misc{4ortxyz_a-methodology-to-select-and-adjust-quantum-noise-models-through-emulators-benchmarking-against-real-backends_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A methodology to select and adjust quantum noise models through emulators: benchmarking against real backends}}, year = {2026}, url = {https://4ort.xyz/entity/a-methodology-to-select-and-adjust-quantum-noise-models-through-emulators-benchmarking-against-real-backends}, note = {Accessed: 2026-05-24}}
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