Готові списки джерел за темами / Backaction of the detection system

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Опубліковано: 4 травня 2024

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Статті в журналах з теми "Backaction of the detection system"

Nielsen, William Hvidtfelt Padkær, Yeghishe Tsaturyan, Christoffer Bo Møller, Eugene S. Polzik, and Albert Schliesser. "Multimode optomechanical system in the quantum regime." Proceedings of the National Academy of Sciences 114, no. 1 (December 20, 2016): 62–66. http://dx.doi.org/10.1073/pnas.1608412114.

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We realize a simple and robust optomechanical system with a multitude of long-lived (Q > 107) mechanical modes in a phononic-bandgap shielded membrane resonator. An optical mode of a compact Fabry–Perot resonator detects these modes’ motion with a measurement rate (96 kHz) that exceeds the mechanical decoherence rates already at moderate cryogenic temperatures (10 K). Reaching this quantum regime entails, inter alia, quantum measurement backaction exceeding thermal forces and thus strong optomechanical quantum correlations. In particular, we observe ponderomotive squeezing of the output light mediated by a multitude of mechanical resonator modes, with quantum noise suppression up to −2.4 dB (−3.6 dB if corrected for detection losses) and bandwidths ≲90 kHz. The multimode nature of the membrane and Fabry–Perot resonators will allow multimode entanglement involving electromagnetic, mechanical, and spin degrees of freedom.

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Pereira, S. F., Z. Y. Ou, and H. J. Kimble. "Backaction evading measurements for quantum nondemolition detection and quantum optical tapping." Physical Review Letters 72, no. 2 (January 10, 1994): 214–17. http://dx.doi.org/10.1103/physrevlett.72.214.

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Yan, Jia‐shun, and Jun Jing. "Backaction‐Noise Suppression and System Stabilization in Double‐Mode Optomechanical Systems." Annalen der Physik 533, no. 7 (May 27, 2021): 2100119. http://dx.doi.org/10.1002/andp.202100119.

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Chao, Shi‐Lei, Da‐Wei Wang, Zhen Yang, Cheng‐Song Zhao, Rui Peng, and Ling Zhou. "Backaction Evading and Amplification of Weak Force Signal in an Optomechanical System." Annalen der Physik 534, no. 4 (January 11, 2022): 2100421. http://dx.doi.org/10.1002/andp.202100421.

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Grangier, Philippe, Jean-François Roch, and Gérard Roger. "Observation of backaction-evading measurement of an optical intensity in a three-level atomic nonlinear system." Physical Review Letters 66, no. 11 (March 18, 1991): 1418–21. http://dx.doi.org/10.1103/physrevlett.66.1418.

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Xia, Ji, Fuyin Wang, Chunyan Cao, Zhengliang Hu, Heng Yang, and Shuidong Xiong. "A Nanoscale Photonic Crystal Cavity Optomechanical System for Ultrasensitive Motion Sensing." Crystals 11, no. 5 (April 21, 2021): 462. http://dx.doi.org/10.3390/cryst11050462.

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Optomechanical nanocavities open a new hybrid platform such that the interaction between an optical cavity and mechanical oscillator can be achieved on a nanophotonic scale. Owing to attractive advantages such as ultrasmall mass, high optical quality, small mode volume and flexible mechanics, a pair of coupled photonic crystal nanobeam (PCN) cavities are utilized in this paper to establish an optomechanical nanosystem, thus enabling strong optomechanical coupling effects. In coupled PCN cavities, one nanobeam with a mass meff~3 pg works as an in-plane movable mechanical oscillator at a fundamental frequency of πΩm/2π=4.148 MHz. The other nanobeam couples light to excite optical fundamental supermodes at 1542.858 and 1554.464 nm with a Qo larger than 4 × 104. Because of the optomechanical backaction arising from an optical force, abundant optomechanical phenomena in the unresolved sideband are observed in the movable nanobeam. Moreover, benefiting from the in-plane movement of the flexible nanobeam, we achieved a maximum displacement of the movable nanobeam as 1468 fm/Hz1/2. These characteristics indicate that this optomechanical nanocavity is capable of ultrasensitive motion measurements.

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Huang, Guanhao, Alberto Beccari, Nils J. Engelsen, and Tobias J. Kippenberg. "Room-temperature quantum optomechanics using an ultralow noise cavity." Nature 626, no. 7999 (February 14, 2024): 512–16. http://dx.doi.org/10.1038/s41586-023-06997-3.

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AbstractAt room temperature, mechanical motion driven by the quantum backaction of light has been observed only in pioneering experiments in which an optical restoring force controls the oscillator stiffness1,2. For solid-state mechanical resonators in which oscillations are controlled by the material rigidity, the observation of these effects has been hindered by low mechanical quality factors, optical cavity frequency fluctuations3, thermal intermodulation noise4,5 and photothermal instabilities. Here we overcome these challenges with a phononic-engineered membrane-in-the-middle system. By using phononic-crystal-patterned cavity mirrors, we reduce the cavity frequency noise by more than 700-fold. In this ultralow noise cavity, we insert a membrane resonator with high thermal conductance and a quality factor (Q) of 180 million, engineered using recently developed soft-clamping techniques6,7. These advances enable the operation of the system within a factor of 2.5 of the Heisenberg limit for displacement sensing8, leading to the squeezing of the probe laser by 1.09(1) dB below the vacuum fluctuations. Moreover, the long thermal decoherence time of the membrane oscillator (30 vibrational periods) enables us to prepare conditional displaced thermal states of motion with an occupation of 0.97(2) phonons using a multimode Kalman filter. Our work extends the quantum control of solid-state macroscopic oscillators to room temperature.

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Raju, Rajeswari. "Jaundice Detection System." International Journal of Advanced Trends in Computer Science and Engineering 8, no. 1.5 (November 15, 2019): 127–31. http://dx.doi.org/10.30534/ijatcse/2019/2581.52019.

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Tatarnikov, Denis A., and Aleksey V. Godovykh. "Radiation Detection System." Advanced Materials Research 1040 (September 2014): 980–84. http://dx.doi.org/10.4028/www.scientific.net/amr.1040.980.

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This paper is devoted to the project of making own radiation detection system with some unique features and to make the system more independent for their components, highly-scalable and flexible platform. We develop programs for collecting and displaying the gamma data on the plot from all of the connected detectors to the system, record them for further post-processing and displaying them to user as a breadcrumb on the map.

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Rana, Harshil, and Reema Pandya. "Pest Detection System." International Journal of Computer Sciences and Engineering 9, no. 12 (December 31, 2021): 23–25. http://dx.doi.org/10.26438/ijcse/v9i12.2325.

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Дисертації з теми "Backaction of the detection system"

Ohlson, Frida, and Nadim Al-Mosawi. "Occupant Detection System." Thesis, Högskolan i Halmstad, Bio- och miljösystemforskning (BLESS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-28617.

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The purpose of the ODS (Occupant Detection System) project is to develop a car safety camera system that is able to discriminate human occupants in order to activate safety features depending on the human size. In order to discriminate the size of an occupant anthropometric measurements need to be performed. The aim of this study was to investigate the possibility of anthropometric measurements of human height and weight with a Kinect for Windows v2 sensor for discrimination of different occupants inside a vehicle. The goal was to find valid anthropometric methods for determination of human height and weight from landmarks on the upper body, then test if it is possible to perform these methods with the Kinect for Windows v2 sensor. The execution of this study was performed as a literature study with anthropometric tests on ATD-dummies (anthropomorphic test device) and on human test subjects. Measurements were performed first physically and then with the Kinect v2 sensor to obtain data in form of distance of 8 regions of the body. Three tests were performed, first on dummies, second was a pilot study and last the measurement study. The result revealed that it is hard to estimate human weight from body landmarks due to lack of information, therefor no tests were performed in this area. For height the result showed that the most valid methods were the measurements on arm span and ulna, both on physical measurements and with the camera. The conclusion is that it is possible estimating height from body landmarks but the positioning of the camera needs to be change in order for the measurements to be more accurate. This study has contributed to a greater understanding of measurement technology, automotive safety and anthropometric measurements.

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Matos, Diogo Silva. "Person detection system." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23853.

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mestrado em Engenharia Eletrónica e Telecomunicações
O RADAR é para fins militares já relativamente antigo que sofreu um grande impulso durante a Segunda Guerra Mundial. Hoje em dia existe um forte desenvolvimento no RADAR em aplicações de navegação ou vigilância/segurança. Esta dissertação surge no seguimento destas novas aplicações, em que se pretende o desenvolvimento de um RADAR de baixo custo que permita ao utilizador detetar pessoas, bem como, os seus movimentos através de paredes ou objetos opacos. O desenvolvimento deste RADAR recaiu em tecnologias emergentes como antenas adaptativas e rádio definido por software que permitem uma grande versatilidade e adaptação em termos de aplicações. A utilização de um RADAR com múltiplas entradas e múltiplas saídas fornece uma maior diversidade de informação que garante mais probabilidades de deteção. A aplicação de técnicas digitais de beamforming, possibilita conhecer a posição e o movimento da pessoa. Com a implementação destas técnicas um protótipo capaz de detetar pessoas e os seus movimentos através de paredes e tijolos foi desenvolvido com sucesso solucionando o problema inicial. Na fase de projeto de RADAR houve necessidade de caracterizar a propagação de ondas de rádio em materiais de construção, como tijolos e madeira, medindo-se a sua atenuação. Deste modo foi possível fazer o balanço de potencia para varios canarios.
The RADAR is already relatively old for military purposes that underwent a major development during World War II. Nowadays there is a strong development in RADAR in navigation or surveillance/security applications. This dissertation follows on from these new applications, which aim to develop a low cost RADAR that allows the user to detect people as well as their movements through walls or opaque objects. The development of this RADAR has relied on emerging technologies such as adaptive antennas and SDR that allow for great versatility and adaptation in terms of applications. The use of a MIMO RADAR provides a greater diversity of information that guarantees more probabilities of detection and the application of digital techniques of beamforming, allows to know the position and the movement of the person. With the implementation of these techniques a prototype capable of detecting people and their movements through walls and bricks was successfully developed solving the initial problem. In the RADAR design phase it was necessary to characterize the propagation of radio waves in building materials, such as bricks and wood, by measuring their attenuation. In this way it was possible to perform the power balance for several scenarios.

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Michala, Anna-Lito. "Capillary glucose detection system." Thesis, University of Strathclyde, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502356.

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Glucose absorbs electromagnetic energy in the near infrared (NIR) spectrum at characteristic wavelengths. An NIR beam is transmitted and as it passes through a solution this absorbance causes detectable spectral changes. The amount of spectral absorbance can be correlated to the concentration of glucose in the solution. In this study we used NIR Spectroscopy and micro sensors and detectors in order to detect glucose in small volume samples with economic instrumentation. The goal was to accurately measure the concentration of glucose in a solution held in a glass capillary vessel.

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Sainani, Varsha. "Hybrid Layered Intrusion Detection System." Scholarly Repository, 2009. http://scholarlyrepository.miami.edu/oa_theses/44.

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The increasing number of network security related incidents has made it necessary for the organizations to actively protect their sensitive data with network intrusion detection systems (IDSs). Detecting intrusion in a distributed network from outside network segment as well as from inside is a difficult problem. IDSs are expected to analyze a large volume of data while not placing a significant added load on the monitoring systems and networks. This requires good data mining strategies which take less time and give accurate results. In this study, a novel hybrid layered multiagent-based intrusion detection system is created, particularly with the support of a multi-class supervised classification technique. In agent-based IDS, there is no central control and therefore no central point of failure. Agents can detect and take predefined actions against malicious activities, which can be detected with the help of data mining techniques. The proposed IDS shows superior performance compared to central sniffing IDS techniques, and saves network resources compared to other distributed IDSs with mobile agents that activate too many sniffers causing bottlenecks in the network. This is one of the major motivations to use a distributed model based on a multiagent platform along with a supervised classification technique. Applying multiagent technology to the management of network security is a challenging task since it requires the management on different time instances and has many interactions. To facilitate information exchange between different agents in the proposed hybrid layered multiagent architecture, a low cost and low response time agent communication protocol is developed to tackle the issues typically associated with a distributed multiagent system, such as poor system performance, excessive processing power requirement, and long delays. The bandwidth and response time performance of the proposed end-to-end system is investigated through the simulation of the proposed agent communication protocol on our private LAN testbed called Hierarchical Agent Network for Intrusion Detection Systems (HAN-IDS). The simulation results show that this system is efficient and extensible since it consumes negligible bandwidth with low cost and low response time on the network.

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Johansson, Emil, and Kim Myhrman. "GSM/WCDMA Leakage Detection System." Thesis, Linköpings universitet, Elektroniksystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-66963.

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Ericsson in Linkoping houses one of the largest test laboratories within thewhole Ericsson Company. Mainly, the laboratories contain equipment forGSM, WCDMA and LTE. To test these systems, a quite large number ofRadio Base Stations are needed. The RBS's are housed in a proportionatelysmall area. Instead of sending signals through the air, cables are used totransfer the RF signals. In this way the equipment communicating witheach other are well speci ed. However this may not be the case if leakageoccur.This thesis work is about developing a system for monitoring the radioenvironment and detect leakages in the test site. There is a need to de newhat a leakage really is and measurements needs to be performed in order toaccomplish this. This report describes how the work has proceeded towardsthe nal implemented solution.

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Ballard, B., T. Degnan, M. Kipp, J. Johnson, D. Miller, and M. Minto. "Mine Safety Detection System (MSDS)." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17457.

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Systems Engineering Project Report
Approved for public release, distribution unlimited
The search, detection, identification and assessment components of the U.S. Navys organic modular in-stride Mine Countermeasure (MCM) Concept of Operations (CONOPS) have been evaluated for their effectiveness as part of a hypothetical exercise in response to the existence of sea mines placed in the sea lanes of the Strait of Hormuz. The current MCM CONOPS has been shown to be capable of supporting the mine search and detection effort component allocation needs by utilizing two Airborne Mine Countermeasure (AMCM) deployed systems. This adequacy assessment is tenuous. The CONOPS relies heavily upon the Sikorsky MH- 60/S as the sole platform from which the systems operate. This reliance is further compounded by the fact both AMCM systems are not simultaneously compatible on board the MH-60/S. As such, resource availability will challenge the MCM CONOPS as well as the other missions for which the MH-60/S is intended. Additionally, the AMCM CONOPS systems are dependent upon the presence of warfighters in the helicopters above the minefield and as integral participants in the efforts to identify sea mines and to assess their threat level. Model Based System Engineering (MBSE) techniques have been combined with research and stakeholder inputs in an analysis that supports these assertions.m

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Maharjan, Nadim, and Paria Moazzemi. "Telemetry Network Intrusion Detection System." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581632.

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ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California
Telemetry systems are migrating from links to networks. Security solutions that simply encrypt radio links no longer protect the network of Test Articles or the networks that support them. The use of network telemetry is dramatically expanding and new risks and vulnerabilities are challenging issues for telemetry networks. Most of these vulnerabilities are silent in nature and cannot be detected with simple tools such as traffic monitoring. The Intrusion Detection System (IDS) is a security mechanism suited to telemetry networks that can help detect abnormal behavior in the network. Our previous research in Network Intrusion Detection Systems focused on "Password" attacks and "Syn" attacks. This paper presents a generalized method that can detect both "Password" attack and "Syn" attack. In this paper, a K-means Clustering algorithm is used for vector quantization of network traffic. This reduces the scope of the problem by reducing the entropy of the network data. In addition, a Hidden-Markov Model (HMM) is then employed to help to further characterize and analyze the behavior of the network into states that can be labeled as normal, attack, or anomaly. Our experiments show that IDS can discover and expose telemetry network vulnerabilities using Vector Quantization and the Hidden Markov Model providing a more secure telemetry environment. Our paper shows how these can be generalized into a Network Intrusion system that can be deployed on telemetry networks.

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Sonbul, O., M. Byamukama, S. Alzebda, and A. N. Kalashnikov. "Autonomous intrusion detection information system." Thesis, Сумський державний університет, 2012. http://essuir.sumdu.edu.ua/handle/123456789/28777.

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Abstract – Implementation of security arrangements for insecure premises, for example, for temporary exhibitions or infrequent public events, usually results in substantial security personnel costs which can be potentially reduced by employing an easily installable ad hoc intrusion detection information system. In the paper we described the architecture, design and experimental results for a fully prototyped information system that utilizes ultrasonic sensors operating in the pulse echo mode for the perimeter control and ZigBee transceivers for wireless networking. The system consists of inexpensive autonomous sensor nodes with the component cost of less than £25 and a control terminal with a graphical user interface controlled by a touch screen. The nodes are programmed wirelessly to detect intrusion within any user set distance up to the operating distance of the node, and can operate unattended for days. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/28777

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Ademi, Muhamet. "Web-Based Intrusion Detection System." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20271.

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Web applications are growing rapidly and as the amount of web sites globallyincreases so do security threats. Complex applications often interact with thirdparty services and databases to fetch information and often interactions requireuser input. Intruders are targeting web applications specifically and they are ahuge security threat to organizations and a way to combat this is to haveintrusion detection systems. Most common web attack methods are wellresearched and documented however due to time constraints developers oftenwrite applications fast and may not implement the best security practices. Thisreport describes one way to implement a intrusion detection system thatspecifically detects web based attacks.

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Khan, Muhammad. "Hand Gesture Detection & Recognition System." Thesis, Högskolan Dalarna, Datateknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6496.

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The project introduces an application using computer vision for Hand gesture recognition. A camera records a live video stream, from which a snapshot is taken with the help of interface. The system is trained for each type of count hand gestures (one, two, three, four, and five) at least once. After that a test gesture is given to it and the system tries to recognize it.A research was carried out on a number of algorithms that could best differentiate a hand gesture. It was found that the diagonal sum algorithm gave the highest accuracy rate. In the preprocessing phase, a self-developed algorithm removes the background of each training gesture. After that the image is converted into a binary image and the sums of all diagonal elements of the picture are taken. This sum helps us in differentiating and classifying different hand gestures.Previous systems have used data gloves or markers for input in the system. I have no such constraints for using the system. The user can give hand gestures in view of the camera naturally. A completely robust hand gesture recognition system is still under heavy research and development; the implemented system serves as an extendible foundation for future work.

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Книги з теми "Backaction of the detection system"

Vernede, L. Multiple acoustic sensor detection system. Manchester: UMIST, 1993.

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Steven, Legowik, Nashman Marilyn, and National Institute of Standards and Technology (U.S.), eds. Obstacle detection and mapping system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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United States. Federal Highway Administration. Advanced Dilemma-Zone Detection system. Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 2009.

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Ng, Terry. MSS collision detection. Ottawa: Canadian Aeronautics and Space Institute, 1988.

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Carr, Lee. Cantilever detection system for vortex flowmeters. Middlesbrough: School of Science & Technology, 1996.

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Alberta. Scientific and Engineering Services and Research Division. A thermographic detection system for pipeline leaks. [Edmonton, Alta.]: Alberta Energy and Natural Resources, Scientific and Engineering Services and Research Division, 1985.

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Tsukerman, Emmanuel. Designing a Machine Learning Intrusion Detection System. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6591-8.

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Clarke, J. A. A fibre-optic system for ultrasonic detection. Manchester: UMIST, 1989.

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Waldren, Douglas W. Anabat bat detection system: Description and maintenance manual. Portland, Or: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2000.

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N, Rao V., and Bhabha Atomic Research Centre, eds. Improvements in detection system for pulse radiolysis facility. Mumbai: Bhabha Atomic Research Centre, 2002.

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Частини книг з теми "Backaction of the detection system"

Weik, Martin H. "detection system." In Computer Science and Communications Dictionary, 393. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4827.

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Henderson, I. A., and J. McGhee. "System detection instrumentation." In Condition Monitoring and Diagnostic Engineering Management, 349–54. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0431-6_52.

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Sara, Baghdadi, Aboutabit Noureddine, and Baghdadi Hajar. "Ambulance Detection System." In Lecture Notes in Networks and Systems, 19–25. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33103-0_3.

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Bieda, Robert, Krzysztof Jaskot, and Jan Łazarski. "Nystagmus Detection System." In Advanced Technologies in Practical Applications for National Security, 59–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64674-9_4.

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Elovici, Yuval, Abraham Kandel, Mark Last, Bracha Shapira, Omer Zaafrany, Moti Schneider, and Menahem Friedman. "Terrorist Detection System." In Lecture Notes in Computer Science, 540–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30116-5_59.

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Weik, Martin H. "active detection system." In Computer Science and Communications Dictionary, 19. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_236.

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Nelson, Tao G., Glen D. Ramsay, and Matthew A. Perugini. "Fluorescence Detection System." In Analytical Ultracentrifugation, 39–61. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55985-6_4.

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Xue, Guangtao, Yi-Chao Chen, Feng Lyu, and Minglu Li. "Event Detection System." In Robust Network Compressive Sensing, 7–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16829-1_2.

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Weik, Martin H. "passive detection system." In Computer Science and Communications Dictionary, 1234. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_13677.

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Shah, Chintan, Farhan Shaikh, Surojit Saha, and Darshan Ingle. "Sign Detection System." In ICT Analysis and Applications, 363–71. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6568-7_33.

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Тези доповідей конференцій з теми "Backaction of the detection system"

Hao, Shan, and T. P. Purdy. "Backaction Evasion in Optical Lever Detection." In CLEO: Fundamental Science. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_fs.2023.fth1a.5.

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Slusher, R. E., A. La Porta, and B. Yurke. "Simple optics for evading backaction noise and generating Schrodinger kittens." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.wh2.

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A simple optical arrangement using polarization rotators and a single-pass parametric amplifier is being used to evade backaction noise in a measurement of a quadrature component of the light field.1 The transmitted field component is left in an eigenstate with an eigenvalue equal to the measured field value. The degree of precision for this eigenvalue can be made arbitrarily high as the optical losses are decreased and the parametric gain is increased. Measurement of the field is accomplished by a homodyne detection of a polarization component orthogonal to the incident and transmitted field. A pulse mode-locked Nd:YAG laser is used as a light source for the measured field and as a pump for the KTP parametric amplifier. If a direct detection measurement is made, instead of homodyne detection, the transmitted light is left in a state which has the properties of a Schrodinger cat,2 or more precisely, a Schrodinger kitten since the feasible experiments will only allow a small number of photons per cat. This catlike state can be transformed by a parametric amplifier into a state that is nearly the superposition of two coherent states. A homodyne measurement can demonstrate the quantum coherence of these two states.

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Urmey, Maxwell D., Robert D. Delaney, Sarang Mittal, Benjamin M. Brubaker, Jonathan M. Kindem, Nicholas E. Frattini, Luca G. Talamo, et al. "Superconducting qubit readout via electro-optic transduction with low laser-induced backaction." In Quantum 2.0. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/quantum.2023.qm2a.4.

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We perform dispersive readout of a superconducting qubit using optical heterodyne detection via a mechanical electro-optic transducer, without causing significant backaction on the qubit. This is a key milestone in linking remote superconducting quantum processors.

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Primo, André G., Pedro V. Pinho, Rodrigo Benevides, Simon Gröblacher, Gustavo S. Wiederhecker, and Thiago P. M. Alegre. "High-Frequency Dissipative Optomechanics." In CLEO: Fundamental Science. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_fs.2023.fth1b.3.

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We demonstrate dissipative optomechanical transduction and backaction in coupled nanobeams. Compared to previous demonstrations, our system corresponds to a hundredfold increase in mechanical frequency and displays a record-high dissipative optomechanical coupling.

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M S, Kruthik, and D. Khasim Vali. "Pothole Detection System." In 3rd National Conference on Image Processing, Computing, Communication, Networking and Data Analytics. AIJR Publisher, 2018. http://dx.doi.org/10.21467/proceedings.1.62.

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Trang, Thanh Tri, The Phi Pham, and Thanh Nghi Do. "SHRIMP DETECTION SYSTEM." In HỘI NGHỊ KHOA HỌC CÔNG NGHỆ QUỐC GIA LẦN THỨ XIII NGHIÊN CỨU CƠ BẢN VÀ ỨNG DỤNG CÔNG NGHỆ THÔNG TIN. Publishing House for Science and Technology, 2020. http://dx.doi.org/10.15625/vap.2020.00165.

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Tahir, Muhammad Waseem, N. A. Zaidi, R. Blank, P. P. Vinayaka, and W. Lang. "Fungus Detection System." In 2016 IEEE International Conference on Autonomic Computing (ICAC). IEEE, 2016. http://dx.doi.org/10.1109/icac.2016.50.

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Balasubramaniyan, Sankari, Mathieu Thevenin, Frederic Amiel, and Maria Trocan. "Graphene Detection System." In MEDES '22: International Conference on Management of Digital EcoSystems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3508397.3564850.

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Oommen, Akhil B., Erin Liz George, Gopika Reji, Gopu J. Sekhar, and Abhilash Antony. "Drowsiness Detection System." In 2023 9th International Conference on Smart Computing and Communications (ICSCC). IEEE, 2023. http://dx.doi.org/10.1109/icscc59169.2023.10334941.

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"Analysis of DDoS Detection System based on Anomaly Detection System." In International Conference on Advances in Engineering and Technology. International Institute of Engineers, 2014. http://dx.doi.org/10.15242/iie.e0314146.

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Звіти організацій з теми "Backaction of the detection system"

Langebrake, Larry, Peter Betzer, and Scot T. Tripp. Autonomous Ship Detection System. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada626958.

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Langlois, R. G., A. Wang, B. Colston, D. Masquelier, L. Jones, K. S. Venkateswaran, S. Nasarabadi, S. Brown, A. Ramponi, and F. P. Milanovich. Autonomous pathogen detection system 2001. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/15006176.

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Langlois, R. G., S. Brown, L. Burris, B. Colston, L. Jones, T. Makarewicz, R. Mariella, et al. APDS: Autonomous Pathogen Detection System. Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/15006308.

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Smith, Timothy J., and Stephany Bryant. Ferret Workflow Anomaly Detection System. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada430829.

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Borzatti, J., K. A. Dorsey, and J. Sirmans. Mine Detonation Detection System (MDDS). Fort Belvoir, VA: Defense Technical Information Center, September 1987. http://dx.doi.org/10.21236/ada196830.

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Lundy, Philip A., George W. Pittman, and Heinz J. Pletsch. Intrusion Detection System Methodology Investigation. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada198210.

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Hong, Tsai-Hong, Steven Legowik, and Marilyn Nashman. Obstacle detection and mapping system. Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6213.

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Pantea, Cristian. Acoustic Wafer Defect Detection System. Office of Scientific and Technical Information (OSTI), August 2021. http://dx.doi.org/10.2172/1813835.

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Viola, Robert. A Modular X-Ray Detection System. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1491153.

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Farrar, Charles R., Keith Worden, Michael D. Todd, Gyuhae Park, Jonathon Nichols, Douglas E. Adams, Matthew T. Bement, and Kevin Farinholt. Nonlinear System Identification for Damage Detection. Office of Scientific and Technical Information (OSTI), November 2007. http://dx.doi.org/10.2172/922532.

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