Unboxing Quantum Black Box Models: Learning Non-Markovian Dynamics Article Swipe
Stefan Krastanov
,
Kade Head-Marsden
,
Sisi Zhou
,
Steven T. Flammia
,
Liang Jiang
,
Prineha Narang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2009.03902
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2009.03902
Characterizing the memory properties of the environment has become critical for the high-fidelity control of qubits and other advanced quantum systems. However, current non-Markovian tomography techniques are either limited to discrete superoperators, or they employ machine learning methods, neither of which provide physical insight into the dynamics of the quantum system. To circumvent this limitation, we design learning architectures that explicitly encode physical constraints like the properties of completely-positive trace-preserving maps in a differential form. This method preserves the versatility of the machine learning approach without sacrificing the efficiency and fidelity of traditional parameter estimation methods. Our approach provides the physical interpretability that machine learning and opaque superoperators lack. Moreover, it is aware of the underlying continuous dynamics typically disregarded by superoperator-based tomography. This paradigm paves the way to noise-aware optimal quantum control and opens a path to exploiting the bath as a control and error mitigation resource.
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2009.03902
- https://arxiv.org/pdf/2009.03902
- OA Status
- green
- Cited By
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3083920843
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3083920843Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2009.03902Digital Object Identifier
- Title
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Unboxing Quantum Black Box Models: Learning Non-Markovian DynamicsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-09-08Full publication date if available
- Authors
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Stefan Krastanov, Kade Head-Marsden, Sisi Zhou, Steven T. Flammia, Liang Jiang, Prineha NarangList of authors in order
- Landing page
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https://arxiv.org/abs/2009.03902Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2009.03902Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2009.03902Direct OA link when available
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Black box, Dynamics (music), Statistical physics, Markov process, Quantum, Physics, Computer science, Quantum mechanics, Mathematics, Artificial intelligence, Statistics, AcousticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 1, 2022: 2, 2021: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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