Optical Memory and Neural Networks最新文献_第8页

Mirrorless Lasing: A Theoretical Perspective 无反光镜蚀刻：理论视角

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070172

A. Ramaswamy, J. Chathanathil, D. Kanta, E. Klinger, A. Papoyan, S. Shmavonyan, A. Khanbekyan, A. Wickenbrock, D. Budker, S. A. Malinovskaya

引用次数: 0

Sensing: Equation One 传感：等式一

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070056

D. Budker, M. G. Kozlov

引用次数: 0

Effect of Bloch-Band Dispersion on the Quantized Transport in a Topological Thouless Pump 布洛赫带色散对无拓扑泵中量化传输的影响

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070226

R. G. Unanyan, M. Fleischhauer

引用次数: 0

Adiabatic States and Suppression of Dissipative Processes 绝热状态与耗散过程的抑制

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x2307007x

E. A. Gazazyan, G. G. Grigoryan

引用次数: 0

Prospects for Using Thermoelectric Single-Photon Detectors in Quantum Information Systems and Astrophysics 在量子信息系统和天体物理学中使用热电单光子探测器的前景

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070111

A. A. Kuzanyan, A. S. Kuzanyan, V. R. Nikoghosyan

{"title":"Prospects for Using Thermoelectric Single-Photon Detectors in Quantum Information Systems and Astrophysics","authors":"A. A. Kuzanyan, A. S. Kuzanyan, V. R. Nikoghosyan","doi":"10.3103/s1060992x23070111","DOIUrl":"https://doi.org/10.3103/s1060992x23070111","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3>In this paper, we propose the design of detection pixels for single-photon detectors, consisting of absorber and heat sink (Bi-2223), thermoelectric sensors (CeB6), and an antireflection layer (SiO2) located on a dielectric substrate (Al2O3). We employ modeling and simulation to study the heat propagation processes in multi-layer detection pixels following the absorption of photons with energy ranging from 0.8 eV to 1 keV. Calculations are performed using the heat transfer equation within a limited volume, employing the three-dimensional matrix method. We calculate the temperature temporal variation in different areas of the detection pixels, as well as the voltage generated on the sensor, for various thicknesses and surfaces of the detection pixel layers. We determine the maximum signal value, time at which the maximum signal is reached, signal decay time, and the detector’s count rate. We derive equations for Phonon and Johnson noise in the three-layer detection pixel and calculate the total noise. Based on the data obtained, we propose ways to improve the signal-to-noise ratio.","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"29 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140886342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Long-Wavelength Optics of a Pair-Interacting Electron Gas in a Lens-Shaped Quantum Dot: Two-Dimensional Moshinsky Model 透镜形量子点中成对相互作用电子气体的长波光学：二维莫辛斯基模型

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070123

M. A. Mkrtchyan, E. M. Kazaryan, H. A. Sarkisyan, M. Y. Vinnichenko, D. A. Firsov

引用次数: 0

Programmable Quantum Gate Operations Using Qutrit Quantum Dots 使用 Qutrit 量子点的可编程量子门操作

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070160

E. A. Pogosyan, E. A. Gazazyan

引用次数: 0

Synergy of Nanoparticles Photovoltaic Trapping and Manipulation from Suspension Layer on Ferroelectric Crystal Surface 铁电晶体表面悬浮层中的纳米粒子光电捕获与操纵的协同作用

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070202

Lusine Tsarukyan, Anahit Badalyan, Rafael Drampyan

{"title":"Synergy of Nanoparticles Photovoltaic Trapping and Manipulation from Suspension Layer on Ferroelectric Crystal Surface","authors":"Lusine Tsarukyan, Anahit Badalyan, Rafael Drampyan","doi":"10.3103/s1060992x23070202","DOIUrl":"https://doi.org/10.3103/s1060992x23070202","url":null,"abstract":"We experimentally demonstrated that dielectrophoretic (DEP) forces of alternating photovoltaic fields generated near the surface of a photorefractive Fe-doped lithium niobate crystal by an optical Bessel beam with concentric ring structure and 532 nm wavelength exert the structuring of pure glycerin layer on the crystal surface and formation of stationary fluid concentric ring pattern. Taking into account this effect, the manipulation and trapping of the Ag nanoparticles suspended in the thin glycerin layer on the crystal surface with Bessel beam-induced photovoltaic field pattern have been studied. The formation of the clusters of Ag nanoparticles is observed. The localization of the Ag particles on the extremes of fluid lattice rings is detected. The trapping process can be described by a two-stage scenario. In the early stage, the stratification of glycerin thin layer under positive DEP force and localization of the fluid in the maxima of the photovoltaic field take place, thus forming the concentric ring fluid channels on the crystal surface. The flow of viscose glycerin in the radial directions also carries along the Ag nanoparticles. In the advanced stage, the repulsive DEP forces lead to the trapping of Ag particles on the crystal surface at the borderlines of fluid lattice rings. The generated photovoltaic space charge fields are long-living and, as a consequence, the formed patterns remain stable for a long time due to the high resistance of the crystal. The photovoltaic tweezers operating in an autonomous regime and allowing the trapping, manipulation and separation of micro-/nanoparticles are promising for photonics, integrated optics, nanoelectronics and biotechnology.","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"22 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140886178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In Memory of M.L. Ter-Mikaelyan 纪念 M.L. Ter-Mikaelyan

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070081

G. Grigoryan, B. Kryzhanovsky, A. Papoyan

引用次数: 0

Formation of Narrow Atomic Lines of Rb in the UV Region Using a Magnetic Field 利用磁场形成紫外区铷原子窄线

IF 0.9

Optical Memory and Neural Networks Pub Date : 2024-01-30 DOI: 10.3103/s1060992x23070196

A. Tonoyan, A. Sargsyan, R. Momier, C. Leroy, D. Sarkisyan

{"title":"Formation of Narrow Atomic Lines of Rb in the UV Region Using a Magnetic Field","authors":"A. Tonoyan, A. Sargsyan, R. Momier, C. Leroy, D. Sarkisyan","doi":"10.3103/s1060992x23070196","DOIUrl":"https://doi.org/10.3103/s1060992x23070196","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3>Magnetically induced (MI) transitions Fg = 1 → Fe = 3 of 87Rb D2 line are among the most promising atomic transitions for applications in laser physics. They reach their maximum intensity in the 0.2–2 kG magnetic field range and are more intense than many conventional atomic transitions. An important feature of MI transitions is their large frequency shift with respect to the unperturbed hyperfine transitions which reaches ~12 GHz in magnetic fields of ~3 kG, while they are formed on the high-frequency wing of the spectrum and do not overlap with other transitions. Some important peculiarities have been demonstrated for the MI 5S1/2 → 5P3/2 transitions (λ = 780 nm). Particularly, it was shown that using a nanocell with thickness L = 100 nm it is possible to realize 1 μm-spatial resolution which is important when determining magnetic fields with strong spatial gradient (of >3G/μm). Earlier, our studies have been performed for 5S1/2 → nP3/2 transition with n = 5, while it is also theoretically shown to be promising for the transitions with n = 6, 7, 8 and 9, corresponding to the transition wavelengths of 420.2, 358.7, 334.9 and 322.8 nm, respectively.","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"230 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139648842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0