Room-temperature single-photon emitters in titanium dioxide optical defects

Chung, Kelvin; Leung, Yu Hang; To, Chi Hung; Djurišić, Aleksandra B.; Tomljenovic‐Hanic, Snjezana

doi:10.3762/bjnano.9.100

Cited by 6 publications

(4 citation statements)

References 67 publications

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“…Recently, defects in TiO2 thin films and nanopowders exhibited single-photon emission have been found [370]. The excited-state and non-radiative lifetimes were found to be within the range of several nanoseconds and tens of nanoseconds, respectively.…”

Section: Titanium Oxidementioning

confidence: 96%

Material platforms for defect qubits and single-photon emitters

Zhang

Cheng

Chou

et al. 2020

Applied Physics Reviews

138

124

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Quantum technology has flourished from quantum information theory and now provides a valuable tool that researchers from numerous fields can add to their toolbox of research methods. To date, various systems have been exploited to promote the application of quantum information processing. The systems that can be used for quantum technology include superconducting circuits, ultra-cold atoms, trapped ions, semiconductor quantum dots, and solid-state spins and emitters. In this review, we will discuss the state of the art on material platforms for spin-based quantum technology, with a focus on the progress in solid-state spins and emitters in several leading host materials, including diamond, silicon carbide, boron nitride, silicon, two-dimensional semiconductors, and other materials. We will highlight how first-principles calculations can serve as an exceptionally robust tool for finding the novel defect qubits and single photon emitters in solids, through detailed predictions of the electronic, magnetic and optical properties. c-BN ON-VB ~1.63 [147] Bi 3.3 [148] Bi-VN 3.57 [148] CN 4.09 [149] Si impurity 4.94 [150] Bi-VN 0.017 [150] Si impurity 0.007 [150] ZnO VZn 2.331 [151] CuZn 2.859 [152] VZn-ClO 2.365 [153] DAP 3.333 [154] CuZn 0.0015 [155] DAP 0.996 [156] GaN 0.855 a [157] 3.33 b , 2.594 c , 1.82 d Cr(4+) 1.193 [132] 0.71 [158] 0.63 c Cr(4+) 0.73 [132] Silicon G-centre CiCs 0.969 [159] Er(3+) 0.805 h [160] G-centre CiCs 0.30 [161] REI YAG:Pr(3+) 4.122 [162] Ce(3+) 2.536 [163] YSO: Er(3+) 0.807 [164] YVO:Yb(3+) 1.280 [165] LaFe3:Pr(3+) 2.594 [166] YAG:Ce(3+) 0.002 [167] a The possible candidates are CNONHi [168], CN-Hi [168], or CN-SiGa [169]. b Theoretical studies predicted that the possible candidates are CN [170] or other complexes [171], such as VGa-3H or VGaON-2H. Experimental studies proposed that the possible candidates are CN-ON [172,173] and CN-SiGa [173]. c Point defects near cubic inclusions within hexagonal lattice of GaN were proposed [174].

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Section: Titanium Oxidementioning

confidence: 96%

Material platforms for defect qubits and single-photon emitters

Zhang

Cheng

Chou

et al. 2020

Applied Physics Reviews

138

124

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“…Solid-state single-photon emitters (SPE) are a promising basis for future quantum technologies such as quantum computing, − sensing, , memory, , and communication. , Notable solid-state SPE systems include quantum dots − and fluorescent atomic defects within wide band-gap semiconductors such as diamond and silicon carbide. , More recently, interest has focused on two-dimensional (2D) materials such as hexagonal boron nitride (h-BN) − and transition-metal dichalcogenides. − There is no known ideal SPE system for all quantum applications, and even those that are suited for particular applications still come with trade-offs in their optical or material properties . Improved SPE may emerge from the engineering of known systems or the discovery of new defects predicted by machine learning and ab initio calculations. , Many materials are mostly unexplored for SPE or in the initial stages of SPE investigation, including zinc sulfide, zinc oxide, titanium dioxide, gallium nitride, and colloidal quantum dots …”

Section: Introductionmentioning

confidence: 99%

“…25 Improved SPE may emerge from the engineering of known systems or the discovery of new defects predicted by machine learning and ab initio calculations. 26,27 Many materials are mostly unexplored for SPE or in the initial stages of SPE investigation, including zinc sulfide, 28 zinc oxide, 29 titanium dioxide, 30 gallium nitride, 31 and colloidal quantum dots. 32 Solid-state SPE are usually identified and characterized using confocal microscopy, which facilitates the isolation of opticaldiffraction-limited features from background fluorescence in a three-dimensional sample.…”

Section: ■ Introductionmentioning

confidence: 99%

Efficient Analysis of Photoluminescence Images for the Classification of Single-Photon Emitters

et al. 2022

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Solid-state single-photon emitters (SPE) are a basis for emerging technologies such as quantum communication and quantum sensing. SPE based on fluorescent point defects are ubiquitous in semiconductors and insulators, and new systems with desirable properties for quantum information science may exist among the vast number of unexplored defects. However, the characterization of new SPE typically relies on time-consuming techniques for identifying point sources by eye in photoluminescence (PL) images. This manual strategy is a bottleneck for discovering new SPE, motivating a more efficient method for characterizing emitters in PL images. Here, we present a quantitative method using image analysis and regression fitting to automatically identify Gaussian emitters in PL images and classify them according to their stability, shape, and intensity relative to the background. We demonstrate efficient emitter classification for SPE in nanodiamond arrays and hexagonal boron nitride flakes. Adaptive criteria detect SPE in both samples despite variation in emitter intensity, stability, and background features. The detection criteria can be tuned for specific material systems and experimental setups to accommodate the diverse properties of SPE.

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“…Improved SPE may emerge from the engineering of known systems or the discovery of new defects predicted by machine learning and ab initio calculations [26,27]. Many materials are mostly unexplored for SPE or in the initial stages of SPE investigation, including zinc sulfide [28], zinc oxide [29], titanium dioxide [30], gallium nitride [31], and colloidal quantum dots [32].…”

Section: Introductionmentioning

confidence: 99%

Efficient Analysis of Photoluminescence Images for the Classification of Single-Photon Emitters

Narun¹,

Fishman²,

Shulevitz³

et al. 2021

Preprint

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Solid-state single-photon emitters (SPE) are a basis for emerging technologies such as quantum communication and quantum sensing. SPE based on fluorescent point defects are ubiquitous in semiconductors and insulators, and new systems with desirable properties for quantum information science may exist amongst the vast number of unexplored defects. However, the characterization of new SPE typically relies on time-consuming techniques for identifying point source emitters by eye in photoluminescence (PL) images. This manual strategy is a bottleneck for discovering new SPE, motivating a more efficient method for characterizing emitters in PL images. Here we present a quantitative method using image analysis and regression fitting to automatically identify Gaussian emitters in PL images and classify them according to their stability, shape, and intensity relative to the background. We demonstrate efficient emitter classification for SPEs in nanodiamond arrays and hexagonal boron nitride flakes. Adaptive criteria detect SPE in both samples despite variation in emitter intensity, stability, and background features. The detection criteria can be tuned for specific material systems and experimental setups to accommodate the diverse properties of SPE.

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Room-temperature single-photon emitters in titanium dioxide optical defects

Cited by 6 publications

References 67 publications

Material platforms for defect qubits and single-photon emitters

Material platforms for defect qubits and single-photon emitters

Efficient Analysis of Photoluminescence Images for the Classification of Single-Photon Emitters

Efficient Analysis of Photoluminescence Images for the Classification of Single-Photon Emitters

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