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Conference on Lasers and Electro-Optics (CLEO)

作者： Yu-Lung Tang Lukasz Komza Polnop Samutpraphoot Hanbin Song Mutasem Odeh Milena Mathew Jiu Chang Zi-Huai Zhang Alp Sipahigil Department of Physics University of California Berkeley Berkeley California USA Materials Sciences Division Lawrence Berkeley National Laboratory Berkeley California USA Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley California USA Department of Materials Science and Engineering University of California Berkeley Berkeley California USA

We characterize coherence of single photons emitted from a G center in a silicon waveguide. We present progress towards lifetime-limited and frequency-tunable single photon emission via electrical tuning.

ISBN: (纸本)9781957171258

关键词： Coherence Electric fields Emission Four wave mixing Photons Silicon photonics

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IoT Farm: A Robust Methodology Design to Support Smart Agricultural System Using Internet of Things with Intelligent Sensors Association

IoT Farm: A Robust Methodology Design to Support Smart Agric...

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International conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： R. Karthiga C. L. Brindha Devi R. Janaki C. Gayathri V. Samuthira Pandi D Shobana Department of IT R.M.K Engineering College Kavaraipettai Chennai Tamilnadu India Department of Computer Science Queen Mary's College (Autonomous) Chennai Tamilnadu India Department of Science & Humanities Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamilnadu India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamilnadu India Department of Electrical and Electronics Engineering Rajalakshmi Engineering College Chennai Tamilnadu India

The term “Smart Farming” has been increasingly popular in recent years due, in large part, to the proliferation of network-based, high-tech farm monitoring cycles. These cycles make extensive use of technologies for communication and information gathering in the form of machinery, equipment, and sensors. The Internet of Things, often known as IoT, is the wave of the future in every sector of the economy, and its impacts will be felt by everyone. It is a collection of different devices that are capable of configuring themselves into a fully operational network. Conventional farming practices are progressively being supplanted by smart farming, which takes use of advancements made possible by the internet of things. This makes conventional farming methods more efficient, which in turn saves farmers money and reduces the amount of food that is lost. This technology helps farmers conserve energy and time by evaluating data in actual time from sensors placed in crops and offering actionable information on how their crops are progressing. The data comes from the sensors themselves, which are planted in the crops. Data from the field is sent to the cloud and evaluated there so that procedures may be automated utilizing Internet of Things devices. The assessment of the farmer's contribution into the process of making choices is demonstrated with information regarding the temperature of the field, the soil moisture level, the humidity level, and the amount of water that is used. In addition, the technical knowledge presented here is valuable to producers at every stage of the production process, including planting, growing, harvesting, packaging and shipping.

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Electrochemical hydrogen charging treatment for hydrogenated 316 L stainless steel induced hydrogen therapy for orthopedic implantation

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Surface and Coatings Technology 2024年 479卷

作者： Lin, Yu-Chien Dhawan, Udesh Liu, Yen-Chen Lee, Yueh-Lien Liu, Xinke Yen, Hung-Wei Hu, Chih-Chien Chung, Ren-Jei Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan School of Materials Science and Engineering Nanyang Technological University Singapore Centre for the Cellular Microenvironment Division of Biomedical Engineering James Watt School of Engineering Mazumdar-Shaw Advanced Research Centre University of Glasgow Glasgow United Kingdom Department of Engineering Science and Ocean Engineering National Taiwan University Taipei Taiwan College of Materials Science and Engineering Chinese Engineering and Research Institute of Microelectronics Shenzhen University Shenzhe China Department of Electrical and Computer Engineering National University of Singapore Singapore Department of Materials Science and Engineering National Taiwan University Taipei Taiwan Bone and Joint Research Center Chang Gung Memorial Hospital Linko Taiwan Department of Orthopaedic Surgery Chang Gung Memorial Hospital Linko Taiwan College of Medicine Chang Gung University Taoyuan Taiwan Taipei Taiwan

Post-implant inflammation is a leading factor in the failure of orthopedic implant surgery. Hydrogen therapy is viewed as a medium capable of reducing reactive oxygen species (ROS) to alleviate inflammatory responses. However, existing hydrogen therapy methods have limitations, often involving undesired inhalation, injection, or non-targeted exposure of hydrogen to the body. To address this, the concept of delivering hydrogen precisely using the implant itself has been conducted in this study. Traditional hydrogen treatments for metallic implant materials, such as 316 L stainless steel (316 L SS), can induce hydrogen embrittlement (HE), significantly restricting the potential applications of hydrogenated implants in the biomedical field. Therefore, in this study, the electrochemical cathodic hydrogen charging method was employed to diffuse a hydrogenated layer of approximately 216 ± 31 nm on the surface of 316 L SS. This renders the material minimized by HE and alters its surface properties. Through in vitro and in vivo experiments, an approximately 80 % free radical scavenging rate was achieved. Additionally, significant anti-inflammatory effects were observed in the histological analysis of Femur implantation. This demonstrates that the surface hydrogenation treatment can impart anti-inflammatory properties to metallic implant materials without compromising their inherent material properties, thereby enhancing the success rate of surgical procedures. © 2024

关键词： Hydrogen

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electrically-controlled Varifocal and Bifocal-Bicolor Metalenses Embedded in a Liquid Crystal

Electrically-controlled Varifocal and Bifocal-Bicolor Metale...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Melissa Bosch Maxim R. Shcherbakov Kanghee Won Hong-Seok Lee Gennady Shvets Department of Physics Cornell University Ithaca NY USA Department of Electrical Engineering and Computer Science University of California Irvine CA USA Samsung Electronics Co. Ltd. Samsung Advanced Institute of Technology (SAIT) Suwon-si Republic of Korea School of Applied and Engineering Physics Cornell University Ithaca NY USA

We demonstrate highly-compact multifunctional zoom components based on low-loss all-dielectric metasurfaces integrated with liquid crystals (LCs). These devices could find use in next-generation imaging systems includ... 详细信息

ISBN: (纸本)9781957171258

关键词： Aberration correction Cameras Imaging systems Laser imaging Liquid crystals Resonant modes

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Combining linear and nonlinear polarization-sensitive imaging modalities for enhanced characterizations of collagen

Combining linear and nonlinear polarization-sensitive imagin...

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Microscopy Histopathology and Analytics, Microscopy 2022

作者： Yang, Lingxiao Iyer, Rishyashring R. Sorrells, Janet E. Chaney, Eric J. Boppart, Stephen A. Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Bioengineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Carle Illinois College of Medicine University of Illinois at Urbana-Champaign UrbanaIL61801 United States

Here we propose a custom multimodal system with simultaneous and spatially co-registered polarization-sensitive optical coherence microscopy and polarization-sensitive second harmonic generation microscopy to enable q... 详细信息

ISBN: (纸本)9781557528209

关键词： Collagen

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Inventing the Potential of a High-Frequency EEG, Namely Dodecanogram (DDG): Human Subjects’ Study 5th

Inventing the Potential of a High-Frequency EEG, Namely Dode...

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5th International Conference on Trends in Computational and Cognitive engineering, TCCE 2023

作者： Singh, Pushpendra Sarkar, Jhimli Dey, Parama Sarkar, Sounak Pattanaya, Anindya Nag, Sudipa Pramanik, Sudeshna Sahoo, Pathik Saxena, Komal Krishnanda, Soami Daya Dutta, Tanusree Ghosh, Subrata Bandyopadhyay, Anirban NIMS 1-2-1 Sengen Ibaraki Tsukuba3050047 Japan Department Electronics and Electrical Communication Engineering IIT Kharagpur West Bengal Kharagpur721302 India Department of Biosciences and Bioengineering Indian Institute of Technology Guwahati Assam781039 India Organizational Behavior and Human Resource Management Indian Institute of Management Ranchi834008 India Amity School of Applied Science Amity University Rajasthan Kant Kalwar NH-11C Jaipur Delhi Highway Rajasthan Jaipur303007 India Microwave Physics Laboratory Department of Physics and Computer Science Dayalbag Educational Institute Uttar Pradesh Agra282005 India Chemical Science and Technology Division CSIR-North East Institute of Science and Technology NEIST Assam Jorhat785006 India Uttar Pradesh Ghaziabad201002 India

ISBN: (纸本)9789819719228

The conventional EEG machine measures brain signal frequencies between 1 and 300 Hz on the scalp. By utilizing Fourier transform (FFT), it generates a 2D frequency profile. Our innovative EEG, known as Dodecanogram (DDG), operates in two modes. In the first mode, it detects a wide range of frequencies from 6 THz to 1 milliHz, creating a brain scan based on resonance. In the second mode, it uses picosecond pulses to capture potential surges, measuring their duration, intensity, and phase variation, revealing brain activity patterns. Both modes work simultaneously in the DDG device. To minimize environmental interference, we use interconnected DDG devices on eight human brains. The detected results from DDG show that DDG is a fundamental technology for understanding various mental states. Potential applications include neuro-disease diagnosis and exploring treatments involving electrical and electromagnetic pulses. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electromagnetic pulse

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Coupling between automatic generation control and automatic voltage regulator while considering generation rate constraint of two areas 2

Coupling between automatic generation control and automatic ...

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2nd International Conference on advanced electrical and Energy Systems, AEES 2021

作者： Elmukhtar, Omer Zhang, Jianhua Department of computer science and control engineering North China Electric Power University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

This paper describes the implementation of automatic generation control (AGC) and automatic voltage regulator (AVR) under generation rate constraint (GRC) and coupling between automatic generation control and automatic voltage regulator while considering generation rate constrain of two areas for improve and better performance characteristic of load frequency control (LFC) problem. our control aim has to normalize the area control error (ACE), frequency error and tie-line power error in spite of the presences of system uncertainties and external load disturbance, So that the required frequency and power interchange with adjacent structures are maintained in order to reduce the transient deviations and to provide zero steady state error in proper short time, the behavior of the planned is checked by MATLAB SIMULINK software. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Voltage regulators

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Stabilization Guarantees of Human-Compatible Control via Lyapunov Analysis

Stabilization Guarantees of Human-Compatible Control via Lya...

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European Control Conference (ECC)

作者： Sirui Li Roy Dong Cathy Wu Institute for Data Systems and Society Massachusetts Institute of Technology Cambridge MA USA Department of Electrical and Computer Engineering the Coordinated Science Laboratory University of Illinois at Urbana-Champaign Urbana IL USA Department of Civil and Environmental Engineering Laboratory for Information & Decision Systems the Institute for Data Systems and Society Massachusetts Institute of Technology Cambridge MA USA

Autonomous vehicles (AVs) enable more efficient and sustainable transportation systems. Ample studies have shown that controlling a small fraction of AVs can smooth traffic flow and mitigate traffic congestion. However, deploying AVs to real-world systems is challenging due to transparency and safety concerns. An alternative approach deployable in the imminent future is human-compatible driving, where human drivers are guided by real-time instructions to stabilize the traffic. To respect human drivers’ reaction time $\Delta$, a class of piecewise-constant policies is considered, where periodic instructions are given at every $\Delta$ seconds to human drivers, who hold the instructed action constant until the next instruction. While previous work provides a basic theoretical analysis by considering a single driver setting in the absence of traffic, a principled control theoretic analysis that takes into account the full traffic system is lacking. This work uses Lyapunov stability theory to analyze piecewise-constant policies in a traffic system governed by the Optimal Velocity Model (OVM). We provide sufficient conditions for piecewise-constant controls with hold length $\Delta$ to stabilize the system. Numerical simulations demonstrate that our theoretical analyses closely follow simulated results, and can be used to interpret meaningful relationships between system parameters and maximum stable hold lengths.

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Quantum error correction below the surface code threshold

arXiv

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arXiv 2024年

作者： Acharya, Rajeev Aghababaie-Beni, Laleh Aleiner, Igor Andersen, Trond I. Ansmann, Markus Arute, Frank Arya, Kunal Asfaw, Abraham Astrakhantsev, Nikita Atalaya, Juan Babbush, Ryan Bacon, Dave Ballard, Brian Bardin, Joseph C. Bausch, Johannes Bengtsson, Andreas Bilmes, Alexander Blackwell, Sam Boixo, Sergio Bortoli, Gina Bourassa, Alexandre Bovaird, Jenna Brill, Leon Broughton, Michael Browne, David A. Buchea, Brett Buckley, Bob B. Buell, David A. Burger, Tim Burkett, Brian Bushnell, Nicholas Cabrera, Anthony Campero, Juan Chang, Hung-Shen Chen, Yu Chen, Zijun Chiaro, Ben Chik, Desmond Chou, Charina Claes, Jahan Cleland, Agnetta Y. Cogan, Josh Collins, Roberto Conner, Paul Courtney, William Crook, Alexander L. Curtin, Ben Das, Sayan Davies, Alex De Lorenzo, Laura Debroy, Dripto M. Demura, Sean Devoret, Michel Paolo, Agustin Di Donohoe, Paul Drozdov, Ilya Dunsworth, Andrew Earle, Clint Edlich, Thomas Eickbusch, Alec Elbag, Aviv Moshe Elzouka, Mahmoud Erickson, Catherine Faoro, Lara Farhi, Edward Ferreira, Vinicius S. Burgos, Leslie Flores Forati, Ebrahim Fowler, Austin G. Foxen, Brooks Ganjam, Suhas Garcia, Gonzalo Gasca, Robert Genois, Élie Giang, William Gidney, Craig Gilboa, Dar Gosula, Raja Dau, Alejandro Grajales Graumann, Dietrich Greene, Alex Gross, Jonathan A. Habegger, Steve Hall, John Hamilton, Michael C. Hansen, Monica Harrigan, Matthew P. Harrington, Sean D. Heras, Francisco J.H. Heslin, Stephen Heu, Paula Higgott, Oscar Hill, Gordon Hilton, Jeremy Holland, George Hong, Sabrina Huang, Hsin-Yuan Huff, Ashley Huggins, William J. Ioffe, Lev B. Isakov, Sergei V. Iveland, Justin Jeffrey, Evan Jiang, Zhang Jones, Cody Jordan, Stephen Joshi, Chaitali Juhas, Pavol Kafri, Dvir Kang, Hui Karamlou, Amir H. Kechedzhi, Kostyantyn Kelly, Julian Khaire, Trupti Khattar, Tanuj Khezri, Mostafa Kim, Seon Klimov, Paul V. Klots, Andrey R. Kobrin, Bryce Kohli, Pushmeet Korotkov, Alexander N. Kostritsa, Fedor Kothari, Robin Kozlovskii, Borislav Kreikebaum, John Mark Kurilovich, Vladislav D. Lacroix, Nathan Landhuis, David Lange Google Research United States Department of Electrical and Computer Engineering University of Massachusetts AmherstMA United States Google DeepMind United Kingdom Department of Physics University of California Santa BarbaraCA United States Department of Physics University of Connecticut StorrsCT United States Department of Electrical and Computer Engineering Auburn University AuburnAL United States Department of Physics ETH Zurich Switzerland Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Department of Physics Massachusetts Institute of Technology CambridgeMA United States Department of Physics and Astronomy University of California RiversideCA United States Yale Quantum Institute Yale University New HavenCT United States Departments of Applied Physics and Physics Yale University New HavenCT United States

Quantum error correction [1–4] provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, where the logical error rate is suppressed exponentially as more qubits are added. However, this exponential suppression only occurs if the physical error rate is below a critical threshold. In this work, we present two surface code memories operating below this threshold: a distance-7 code and a distance-5 code integrated with a real-time decoder. The logical error rate of our larger quantum memory is suppressed by a factor of Λ = 2.14 ± 0.02 when increasing the code distance by two, culminating in a 101-qubit distance-7 code with 0.143% ± 0.003% error per cycle of error correction. This logical memory is also beyond break-even, exceeding its best physical qubit’s lifetime by a factor of 2.4 ± 0.3. We maintain below-threshold performance when decoding in real time, achieving an average decoder latency of 63 µs at distance-5 up to a million cycles, with a cycle time of 1.1 µs. To probe the limits of our error-correction performance, we run repetition codes up to distance-29 and find that logical performance is limited by rare correlated error events occurring approximately once every hour, or 3×109 cycles. Our results present device performance that, if scaled, could realize the operational requirements of large scale fault-tolerant quantum algorithms. © 2024, CC BY.

关键词： Decoding

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Demonstration of Density Matrix Exponentiation Using a Superconducting Quantum Processor

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Physical Review X 2022年第1期12卷 011005-011005页

作者： M. Kjaergaard M. E. Schwartz A. Greene G. O. Samach A. Bengtsson M. O’Keeffe C. M. McNally J. Braumüller D. K. Kim P. Krantz M. Marvian A. Melville B. M. Niedzielski Y. Sung R. Winik J. Yoder D. Rosenberg K. Obenland S. Lloyd T. P. Orlando I. Marvian S. Gustavsson W. D. Oliver Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA MIT Lincoln Laboratory Lexington Massachusetts 02421 USA Department of Electrical Engineering & Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Microtechnology and Nanoscience Chalmers University of Technology Göteborg 412 96 Sweden Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Departments of Physics & Electrical and Computer Engineering Duke University Durham North Carolina 27708 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

Density matrix exponentiation (DME) is a general technique for using a quantum state ρ to enact the quantum operation e−iρθ on a target system. It was first proposed in the context of quantum machine learning, but has since been shown to have broad applications in quantum metrology and computation. No experimental demonstration of DME has been performed thus far due to its demanding circuit depths and the need to efficiently generate multiple identical copies of ρ during the finite lifetime of the target system. In this work, we describe the first demonstration of the DME algorithm, which we accomplish using a superconducting quantum processor. Our demonstration relies on a 99.7% fidelity controlled-phase gate implemented using two tunable superconducting transmon qubits. We achieve a fidelity surpassing 90% at circuit depths exceeding 70 when comparing the output of the circuit executed on our quantum processor to a simulation assuming perfect operations and measurements.

关键词： Quantum algorithms Quantum computation Quantum information processing

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