Efficient characterization of blinking quantum emitters from scarce data sets via machine learning

• URL: http://arxiv.org/abs/2308.13027v1
• Date: Thu, 24 Aug 2023 18:51:30 GMT
• Title: Efficient characterization of blinking quantum emitters from scarce data sets via machine learning
• Authors: G. Landry and C. Bradac
• Abstract summary: Single photon emitters universally display fluorescence intermittency or photoblinking. We present a multi-feature regression algorithm and a genetic algorithm that allow for the extraction of blinking on/off rates with >85% accuracy. Our algorithms effectively extend the range of surveyable blinking systems and trapping dynamics to those that would otherwise be considered too short-lived to be investigated.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Single photon emitters are core building blocks of quantum technologies, with established and emerging applications ranging from quantum computing and communication to metrology and sensing. Regardless of their nature, quantum emitters universally display fluorescence intermittency or photoblinking: interaction with the environment can cause the emitters to undergo quantum jumps between on and off states that correlate with higher and lower photoemission events, respectively. Understanding and quantifying the mechanism and dynamics of photoblinking is important for both fundamental and practical reasons. However, the analysis of blinking time traces is often afflicted by data scarcity. Blinking emitters can photo-bleach and cease to fluoresce over time scales that are too short for their photodynamics to be captured by traditional statistical methods. Here, we demonstrate two approaches based on machine learning that directly address this problem. We present a multi-feature regression algorithm and a genetic algorithm that allow for the extraction of blinking on/off switching rates with >85% accuracy, and with >10x less data and >20x higher precision than traditional methods based on statistical inference. Our algorithms effectively extend the range of surveyable blinking systems and trapping dynamics to those that would otherwise be considered too short-lived to be investigated. They are therefore a powerful tool to help gain a better understanding of the physical mechanism of photoblinking, with practical benefits for applications based on quantum emitters that rely on either mitigating or harnessing the phenomenon.

Related papers

• Tailoring fusion-based photonic quantum computing schemes to quantum emitters [0.0]
  Fusion-based quantum computation is a promising quantum computing model where small-sized photonic resource states are simultaneously entangled and measured by fusion gates. Here, we propose fusion-based architectures tailored to the capabilities and noise models in quantum emitters. We show that high tolerance to dominant physical error mechanisms can be achieved, with fault-tolerance thresholds of 8% for photon loss, 4% for photon distinguishability between emitters, and spin noise thresholds well above memory-induced errors.
  arXiv  Detail & Related papers  (2024-10-09T11:31:49Z)
• A Hybrid Approach to Mitigate Errors in Linear Photonic Bell-State Measurement for Quantum Interconnects [0.0]
  We introduce a novel hybrid detection scheme for Bell-state measurement. We derive explicit fidelities for quantum teleportation and entanglement swapping processes. This work provides a new tool for linear optics schemes, with applications to quantum state engineering and quantum interconnects.
  arXiv  Detail & Related papers  (2024-06-14T18:00:00Z)
• Time-bin entanglement in the deterministic generation of linear photonic cluster states [0.0]
  We theoretically investigate strategies for the deterministic creation of trains of time-bin entangled photons using an individual quantum emitter. We show the theoretical generation of linear cluster states with substantial numbers of entangled photonic qubits in full microscopic numerical simulations.
  arXiv  Detail & Related papers  (2024-03-13T13:38:45Z)
• All-optical modulation with single-photons using electron avalanche [69.65384453064829]
  We demonstrate all-optical modulation using a beam with single-photon intensity. Our approach opens up the possibility of terahertz-speed optical switching at the single-photon level.
  arXiv  Detail & Related papers  (2023-12-18T20:14:15Z)
• On-chip quantum information processing with distinguishable photons [55.41644538483948]
  Multi-photon interference is at the heart of photonic quantum technologies. Here, we experimentally demonstrate that detection can be implemented with a temporal resolution sufficient to interfere photons detuned on the scales necessary for cavity-based integrated photon sources. We show how time-resolved detection of non-ideal photons can be used to improve the fidelity of an entangling operation and to mitigate the reduction of computational complexity in boson sampling experiments.
  arXiv  Detail & Related papers  (2022-10-14T18:16:49Z)
• Quantum scrambling in a toy model of photodetectors [9.842140146649346]
  Quantum measurement involves the interaction between a quantum system and a macroscopic measurement apparatus containing many degrees of freedom. In this paper, we study the quantum scrambling process in an effective toy model of photodetectors in three different physical scenarios.
  arXiv  Detail & Related papers  (2022-08-30T11:59:07Z)
• Tunable photon-mediated interactions between spin-1 systems [68.8204255655161]
  We show how to harness multi-level emitters with several optical transitions to engineer photon-mediated interactions between effective spin-1 systems. Our results expand the quantum simulation toolbox available in cavity QED and quantum nanophotonic setups.
  arXiv  Detail & Related papers  (2022-06-03T14:52:34Z)
• Topologically Protecting Squeezed Light on a Photonic Chip [58.71663911863411]
  Integrated photonics offers an elegant way to increase the nonlinearity by confining light strictly inside the waveguide. We experimentally demonstrate the topologically protected nonlinear process of spontaneous four-wave mixing enabling the generation of squeezed light on a silica chip.
  arXiv  Detail & Related papers  (2021-06-14T13:39:46Z)
• Rapid characterisation of linear-optical networks via PhaseLift [51.03305009278831]
  Integrated photonics offers great phase-stability and can rely on the large scale manufacturability provided by the semiconductor industry. New devices, based on such optical circuits, hold the promise of faster and energy-efficient computations in machine learning applications. We present a novel technique to reconstruct the transfer matrix of linear optical networks.
  arXiv  Detail & Related papers  (2020-10-01T16:04:22Z)
• Statistical Benchmarking of Scalable Photonic Quantum Systems [0.0]
  We benchmark our time-multiplexing framework that includes a high-performance source of multiphoton states and a large multiplexing network. We successfully verify high-order nonclassical correlations of many photons distributed over many modes. Nonclassicality is verified with correlation functions up to the 128th order and statistical significances of up to 20 standard deviations.
  arXiv  Detail & Related papers  (2020-08-26T13:14:54Z)
• Near-ideal spontaneous photon sources in silicon quantum photonics [55.41644538483948]
  Integrated photonics is a robust platform for quantum information processing. Sources of single photons that are highly indistinguishable and pure, that are either near-deterministic or heralded with high efficiency, have been elusive. Here, we demonstrate on-chip photon sources that simultaneously meet each of these requirements.
  arXiv  Detail & Related papers  (2020-05-19T16:46:44Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.