Benchmarking a boson sampler with Hamming nets
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Benchmarking a boson sampler with Hamming nets
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| Автор |
Iakovlev, I. A.
Sotnikov, O. M. Dyakonov, I. V. Kiktenko, E. O. Fedorov, A. K. Straupe, S. S. Mazurenko, V. V. |
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| Тематика |
MULTIPHOTON PROCESSES
PROBABILITY DISTRIBUTIONS QUANTUM OPTICS COMPLEX QUANTUM SYSTEMS CONDITION EXPERIMENTAL CONDITIONS FURTHER DEVELOPMENT PROBABILITY: DISTRIBUTIONS PROPERTY QUANTUM DEVICE QUANTUM STATE SAMPLING DEVICES SPECIFIC PROPERTIES BOSONS |
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| Описание |
Analyzing the properties of complex quantum systems is crucial for further development of quantum devices, yet this task is typically challenging and demanding with respect to the required amount of measurements. Special attention to this problem appears within the context of characterizing outcomes of noisy intermediate-scale quantum devices, which produce quantum states with specific properties so that it is expected to be hard to simulate such states using classical resources. In this work, we address the problem of characterization of a boson sampling device, which uses the interference of input photons to produce samples of nontrivial probability distributions that at certain condition are hard to obtain classically. For realistic experimental conditions the problem is to probe multiphoton interference with a limited number of the measurement outcomes without collisions and repetitions. By constructing networks on the measurement outcomes, we demonstrate the possibility to discriminate between regimes of indistinguishable and distinguishable bosons by quantifying the structures of the corresponding networks. Based on this, we propose a machine-learning-based protocol to benchmark a boson sampler with unknown scattering matrix. Notably, the protocol works in the most challenging regimes of having a very limited number of bitstrings without collisions and repetitions. As we expect, our framework can be directly applied for characterizing boson sampling devices that are currently available in experiments. © 2023 American Physical Society.
Russian Science Foundation, RSF: 19-71-10092 This work was supported by the Russian Roadmap on Quantum Computing (Contract No. 868-1.3-15/15-2021, October 5, 2021). The work of AKF is also supported by the RSF Grant No. 19-71-10092 (analysis of certain aspects of machine learning applications). |
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| Дата |
2024-04-05T16:38:49Z
2024-04-05T16:38:49Z 2023 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/submittedVersion |
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| Идентификатор |
Iakovlev, I, Sotnikov, O, Dyakonov, IV, Kiktenko, EO, Fedorov, AK, Straupe, SS & Mazurenko, V 2023, 'Benchmarking a boson sampler with Hamming nets', Physical Review A, Том. 108, № 6, 062420. https://doi.org/10.1103/PhysRevA.108.062420
Iakovlev, I., Sotnikov, O., Dyakonov, I. V., Kiktenko, E. O., Fedorov, A. K., Straupe, S. S., & Mazurenko, V. (2023). Benchmarking a boson sampler with Hamming nets. Physical Review A, 108(6), [062420]. https://doi.org/10.1103/PhysRevA.108.062420 2469-9926 Final All Open Access, Green https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181159489&doi=10.1103%2fPhysRevA.108.062420&partnerID=40&md5=f1d92c4b7782213c473bc42a4c15f2ee https://arxiv.org/pdf/2305.10946 http://elar.urfu.ru/handle/10995/131098 10.1103/PhysRevA.108.062420 85181159489 |
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| Язык |
en
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| Связанные ресурсы |
info:eu-repo/grantAgreement/RSF//19-71-10092
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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| Формат |
application/pdf
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| Издатель |
American Physical Society
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| Источник |
Physical Review A
Physical Review A |
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