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Conference on Lasers and Electro-Optics (CLEO)

作者： Alok Ghanekar Jiahui Wang Cheng Guo Shanhui Fan Michelle L. Povinelli Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles USA Department of Applied Physics Stanford University Stanford California USA Department of Electrical Engineering Stanford University Stanford California USA

We present a non-reciprocal thermal emitter based on the dynamic space-time modulation of graphene. Compound symmetry in the system gives rise to a new dimension of tunable thermal emission in non-reciprocal systems.

ISBN: (纸本)9781957171258

关键词： Graphene Modulation Refractive index Resonant modes Spatial frequency Thermal emission

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Impact of Temporal Precision on Speech Synthesis Accuracy From Electrocorticographic Brain Signals

Impact of Temporal Precision on Speech Synthesis Accuracy Fr...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Qinwan Rabbani Matthew S. Fifer Nathan E. Crone Laureano Moro-Velazquez Department of Electrical and Computer Engineering Johns Hopkins University Baltimore USA Research and Exploratory Development Department Johns Hopkins University Applied Physics Laboratory Laurel USA Department of Neurology Johns Hopkins Hospital Baltimore USA

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Accurately time-aligned spectral targets are essential for training electrocorticographic (ECoG) brain-computer interfaces (BCIs) intended for real-time speech output. This alignment is particularly challenging with "silent speech," in which speech occurs without phonation, or in the extreme, without articulation. Crafting suitably precise targets for silent speech is complex and error-prone due to multiple sources of temporal imprecision. We investigated how these temporal inaccuracies impact deep neural network performance in synthesizing speech from a BCI clinical trial participant who retained some speech capability. By simulating silent speech conditions through distortions in known acoustic target timings, we observed significant performance degradations at both phonetic and syllabic timescales. Accuracy-based measures offered a more reliable assessment of intelligibility than traditional metrics like the short-time objective intelligibility index, which may overestimate performance in low-precision contexts. These results underscore the need for advanced alignment techniques with precise phonetic and syllabic guarantees for silent speech BCIs focused on providing immediate output.

关键词： Training Biological system modeling Artificial neural networks Phonetics Acoustic measurements Real-time systems Acoustics Timing Speech synthesis Reliability

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Quantum Network Coding and Distribution of Maximally Entangled States in Measurement-Based Quantum Computing

Quantum Network Coding and Distribution of Maximally Entangl...

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National Conference on Communications (NCC)

作者： Cheeranjiv Pandey Sanidhya Gupta Rimon Ranjit Das Ankur Raina Department of Physics Indian Institute of Technology Ropar Department of Electrical Engineering and Computer Science Indian Institute of Science Education and Research Bhopal Department of Physics Amity Institute of Applied Sciences Amity University

Classical network coding uses encoding of information over networks to achieve secure and high throughput communication with low latency. Its quantum analog, namely Quantum Network Coding (QNC) is a promising protocol to achieve quantum communication over quantum networks. In this paper, we propose a method for establishing QNC in Measurement-Based Quantum Computing (MBQC), which is a universal quantum computational model. We demonstrate that the problem of multiple unicast or multiple multicast of distinct computational basis states over a quantum network can be solved by simulating existing classical networks, with the CNOT implementation in MBQC as a basis for transmitting and encoding of states. We also show how it can be further extended to simultaneously distribute the Bell pairs and Greenberger–Horne–Zeilinger (GHZ) states required for quantum communication between distant transmitter and corresponding receiver nodes of a network.

关键词： Protocols Unicast Transmitters Quantum entanglement Receivers Network coding Throughput

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Photonic Reservoir Computing for Spectrum Awareness Applications

Photonic Reservoir Computing for Spectrum Awareness Applicat...

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IEEE Research and Applications of Photonics In Defense Conference (RAPID)

作者： Yanne K. Chembo Department of Electrical and Computer Engineering University of Maryland A. James Clark School of Engineering and Institute for Research in Electronics and Applied Physics (IREAP) College Park Maryland USA

Photonic reservoir computing can perform efficient and ultra-fast information processing in both fiber and radiofrequency (RF) networks. In this communication, we provide an overview of this topic with an emphasis on ...

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Characterization of Kerr Microcombs for Quantum Technology

Characterization of Kerr Microcombs for Quantum Technology

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Conference on Lasers and Electro-Optics (CLEO)

作者： Fengyu Liu Yanne K. Chembo Department of Electrical and Computer Engineering Institute for Research in Electronics and Applied Physics (IREAP) University of Maryland A. James Clark School of Engineering College Park MD USA

Quantum microcombs allow for the efficient generation of twin-photons via spontaneous four-wave mixing in resonantly pumped microresonators. We here develop a frequency-bin theoretical framework that permits to determ... 详细信息

ISBN: (纸本)9781957171258

关键词： Four wave mixing Microresonators Optical networks Quantum information

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Operator convexity along lines, self-concordance, and sandwiched Rényi entropies

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arXiv 2025年

作者： He, Kerry Saunderson, James Fawzi, Hamza Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia Department of Applied Mathematics and Theoretical Physics University of Cambridge CambridgeCB3 0WA United Kingdom

Barrier methods play a central role in the theory and practice of convex optimization. One of the most general and successful analyses of barrier methods for convex optimization, due to Nesterov and Nemirovskii, relies on the notion of self-concordance. While an extremely powerful concept, proving self-concordance of barrier functions can be very difficult. In this paper we give a simple way to verify that the natural logarithmic barrier of a convex nonlinear constraint is self-concordant via the theory of operator convex functions. Namely, we show that if a convex function is operator convex along any one-dimensional restriction, then the natural logarithmic barrier of its epigraph is self-concordant. We apply this technique to construct self-concordant barriers for the epigraphs of functions arising in quantum information theory. Notably, we apply this to the sandwiched Rényi entropy function, for which no self-concordant barrier was known before. Additionally, we utilize our sufficient condition to provide simplified proofs for previously established self-concordance results for the noncommutative perspective of operator convex functions. An implementation of the convex cones considered in this paper is now available in our open source interior-point solver QICS. Copyright © 2025, The Authors. All rights reserved.

关键词： Convex optimization

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Utilizing probabilistic entanglement between sensors in quantum networks

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Physical Review applied 2024年第6期22卷 064085-064085页

作者： Emily A. Van Milligen Christos N. Gagatsos Eneet Kaur Don Towsley Saikat Guha Department of Physics The University of Arizona 1630 East University Boulevard Tucson Arizona 85721 USA Department of Electrical and Computer Engineering The University of Arizona 1630 East University Boulevard Tucson Arizona 85721 USA Wyant College of Optical Sciences The University of Arizona 1630 East University Boulevard Tucson Arizona 85721 USA Program in Applied Mathematics The University of Arizona Tucson Arizona 85721 USA Cisco Quantum Lab Los Angeles USA College of Computer Science University of Massachusetts Amherst Massachusetts USA Department of Electrical and Computer Engineering The University of Maryland College Park Maryland 20742 USA

One of the most promising applications of quantum networks is entanglement-assisted sensing. The field of quantum metrology exploits quantum correlations to improve the precision bound for applications such as precision timekeeping, field sensing, and biological imaging. When measuring multiple spatially distributed parameters, current literature focuses on quantum entanglement in the discrete-variable case and quantum squeezing in the continuous-variable case, distributed amongst all of the sensors in a given network. However, it can be difficult to ensure that all sensors preshare entanglement of sufficiently high fidelity. This work probes the space between fully entangled and fully classical sensing networks by modeling a star network with probabilistic entanglement generation that is attempting to estimate the average of local parameters. The quantum Fisher information is used to determine which protocols best utilize entanglement as a resource for different network conditions. It is shown that without entanglement distillation there is a threshold fidelity below which classical sensing is preferable. For a network with a given number of sensors and links characterized by a certain initial fidelity and probability of success, this work outlines when and how to use entanglement, when to store it, and when it needs to be distilled.

关键词： Quantum entanglement

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programmable Mode/Wavelength Demultiplexer using Inverse-designed Low-loss Phase-change Material

Programmable Mode/Wavelength Demultiplexer using Inverse-des...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Jiao, Ziyu Wu, Changming Yu, Heshan Takeuchi, Ichiro Ríos, Carlos Li, Mo Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States School of the Gifted Young University of Science and Technology of China Anhui Hefei230026 China Department of Materials Science and Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Physics University of Washington SeattleWA98195 United States

We demonstrate a non-volatile optically programmable inverse-designed demultiplexer based on low-loss phase change material Sb2Se3 integrated MMI that can be reconfigured both as mode and wavelength demultiplexers. &#... 详细信息

ISBN: (纸本)9781957171258

关键词： Phase change materials

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Small. Low Power Salinity Sensors Based on Solid State Potentiometry for Ocean Applications

Small. Low Power Salinity Sensors Based on Solid State Poten...

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OCEANS

作者： Anuscheh Nawaz Jae-Hyun Chung Scott D. Soelberg David C. Burnett John Kucewicz Michael Steele Applied Physics Labortory University of Washington Seattle USA Mechanical Engineering Department University of Washington Seattle USA Electrical and Computer Engineering Department Portland State University Portland USA

Solid state potentiometry measures ion concentration is explored for ocean sciences. A small, low cost and low power sensor to measure salinity is currently not available in ocean sciences, but could unlock large scale spatial and temporal characterization of oceanographic areas of interest, such as the Arctic or coastal environments. To date these types of sensors are typically calibrated before each measurement, and target low concentrations. The challenge for these oceanographic environments is that the relevant concentration is much higher than usual for these sensors, and that calibration cannot take place before each measurement as buoy deployment is necessary for long term data collection. We are developing a small, low power salinity sensor based on chloride ion measurement, targeted at 20 ppt to 40 ppt, at sensitivities of 0.1 ppt. Here, we present current characterization results with respect to chloride ion concentration, temperature, and drift, and discuss methods to reduce and potentially measure drift in-situ.

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Second-harmonic conformal transformation for visible and in-situ detection of infrared optical vortices

Second-harmonic conformal transformation for visible and in-...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Yuan Liu Wei Chen Yang Ming Wang Zhang Jie Tang Rui Yuan Wei Hu Yan-Qing Lu College of Engineering and Applied Sciences Nanjing University Nanjing China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore Department of Physics Nantong University Nantong China

ISBN: (纸本)9781957171258

Conformal transformation provides an effective way to detect optical orbital angular momentum (OAM). We demonstrate here a second-harmonic spiral transformation that enables infrared-visible detection of OAM states with a low energy loss. Remarkably, we predict and observe a record-high optical finesse, indicating improved separation efficiency enabled by this method.

关键词： Fourier transforms Nonlinear effects Optical angular momentum Optical vortices Three wave mixing Vector beams

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