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Kinetic inductance parametric converter

Physical Review Applied 2024年第2期22卷 024025-024025页

作者： M. Khalifa P. Feldmann J. Salfi Stewart Blusson Quantum Matter Institute Department of Electrical and Computer Engineering Department of Physics and Astronomy

Parametric converters are parametric amplifiers that mix two spatially separate nondegenerate modes and are commonly used for amplifying and squeezing microwave signals in quantum computing and sensing. In Josephson parametric converters, the strong localized nonlinearity of the Josephson junction limits the amplification and squeezing, as well as the dynamic range, in current devices. In contrast, a weak distributed nonlinearity can provide higher gain and dynamic range, when implemented as a kinetic inductance (KI) nanowire of a dirty superconductor, and has additional benefits such as resilience to magnetic field, higher-temperature operation, and simplified fabrication. Here, we propose, demonstrate, and analyze the performance of a KI parametric converter that relies on the weak distributed nonlinearity of a Nb-Ti-N KI nanowire. The device utilizes three-wave mixing induced by a dc current bias. We demonstrate its operation as a nondegenerate parametric amplifier with high phase-sensitive gain, reaching two-mode amplification and deamplification of approximately 30 dB for two resonances separated by 0.8 GHz, in excellent agreement with our theory of the device. We observe a dynamic range of −108 dBm at 30 dB gain. Our device can significantly broaden applications of quantum-limited signal processing devices including phase-preserving amplification and two-mode squeezing.

关键词： quantum circuits Superconducting quantum optics Optical parametric oscillators & amplifiers

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Toward Conditional Distribution Calibration in Survival Prediction 38

Toward Conditional Distribution Calibration in Survival Pred...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Qi, Shi-Ang Yu, Yakun Greiner, Russell Computing Science University of Alberta Edmonton Canada Electrical Computer Engineering University of Alberta Edmonton Canada Alberta Machine Intelligence Institute Edmonton Canada

Survival prediction often involves estimating the time-to-event distribution from censored datasets. Previous approaches have focused on enhancing discrimination and marginal calibration. In this paper, we highlight the significance of conditional calibration for real-world applications - especially its role in individual decision-making. We propose a method based on conformal prediction that uses the model's predicted individual survival probability at that instance's observed time. This method effectively improves the model's marginal and conditional calibration, without compromising discrimination. We provide asymptotic theoretical guarantees for both marginal and conditional calibration and test it extensively across 15 diverse real-world datasets, demonstrating the method's practical effectiveness and versatility in various settings. © 2024 Neural information processing systems foundation. All rights reserved.

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LTL cross entropy optimisation for quadcopter task orchestration

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Cyber-Physical Systems 2023年第3期9卷 273-312页

作者： Banks, Christopher Coogan, Samuel Egerstedt, Magnus School of Interactive Computing Georgia Institute of Technology AtlantaGA United States School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA United States Samueli School of Engineering University of California-Irvine IrvineCA United States

This paper presents a task orchestration framework for multi-agent systems utilising linear temporal logic (LTL) and cross entropy optimisation, a stochastic optimisation technique used for rare-event sampling. We define task orchestration as a combination of task decomposition, allocation and planning for a quadcopter or team of quadcopters given a high-level specification. Specifically, we consider tasks that are complex and consist of environment constraints, system constraints, or both, that must be satisfied. We first approach motion planning for the single agent case where transition systems for the environment allow tasks to be developed as linear temporal logic (LTL) specifications. Trajectories are then generated via motion primitives for a single quadcopter and optimised via cross entropy to ensure optimal satisfaction of a cost function. We extend this work to the multi-agent case where a team of homogeneous quadcopters are considered to satisfy an LTL specification. In order to provide faster computations and initial cost-agnostic sampling, we formulate the online version of multi-agent task allocation via cross entropy for tasks specified in LTL specifications. The results of this framework are verified in simulation and experimentally with a team of quadcopters. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Multi agent systems

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Scalable quantum Photonic Neural Network Processor via Cavity-Assisted Interactions

Scalable Quantum Photonic Neural Network Processor via Cavit...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Basani, Jasvith Raj Niu, Murphy Yuezhen Waks, Edo Department of Electrical and Computer Engineering Institute for Research in Electronics and Applied Physics Joint Quantum Institute University of Maryland College ParkMD20742 United States Department of Computer Science Joint Center for Quantum Information and Computer Science University of Maryland College ParkMD20742 United States

We present an integrated photonic architecture that uses a single atom trapped in a cavity for deterministic high-fidelity quantum operations. Our design is unique in providing a photon-number-selective nonlinearity, ... 详细信息

ISBN: (纸本)9781957171395

关键词： Photonic integrated circuits

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Broadcast Channel Simulation

Broadcast Channel Simulation

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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Cao, Michael X. Ramakrishnan, Navneeth Berta, Mario Tomamichel, Marco National University of Singapore Department of Electrical and Computer Engineering Singapore National University of Singapore Centre for Quantum Technologies Singapore Imperial College London Department of Computing London United Kingdom Institute for Quantum Information Rwth Aachen University Aachen Germany

ISBN: (纸本)9781665475549

We study the problem of random-assisted simulation of discrete broadcast channel in one-shot and i.i.d. setups. We derive one-shot inner and outer bounds of the set of attainable message-size pairs for simulating WYZ|X within some total variation distance (TVD) tolerance of ?. The inner bounds are based on the bipartite convex split lemma. Whereas the outer bounds are based on the properties of the multi-partite max information. Using these bounds, we establish a single-letter expression of the simulation region of a broadcast channel. © 2023 IEEE.

关键词： Codes (symbols)

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Optical Ground Station Proposal for Croatian quantum Communication Infrastructure 47

Optical Ground Station Proposal for Croatian Quantum Communi...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Jagnjić, M. Vuković, J. Skendrović, B. Lončar, J. Lončarić, M. Babić, D. University Of Zagreb Faculty Of Electrical Engineering And Computing Department Of Communication And Space Technologies Croatia Ruder Bošković Institute Division Of Experimental Physics Laboratory For Photonics And Quantum Optics Croatia

ISBN: (纸本)9798350382495

The development of quantum computers, which could potentially implement Shor's algorithm and thereby pose a threat to classical encryption, has created the need for establishing ultra-secure communication systems. One solution is quantum key distribution (QKD), a method based on the principles of quantum mechanics that enables sharing an encryption key in a way that is fundamentally resilient to computational attacks, quantum or classical. QKD used together with a one-time-pad symmetric cryptography algorithm thus provides information-theoretically secure communication. In addition, QKD enables the detection of any eavesdropping attempt on communications lines. While classical optical communication systems allow signal amplification, the no-cloning theorem from the foundations of quantum mechanics prohibits the cloning of unknown states. This nogo theorem results in the practical limitation of quantum key distribution via optical fibers, prompting the need for free-space solutions. In this work, we present the proposed design of the first Optical Ground Station connected to the terrestrial Croatian quantum Communication Infrastructure through a QKD node. The station's function involves receiving prepare-and-measure photons from the low Earth orbit satellite and quantum key generation through the decoy-state BB84 protocol. By utilizing the satellite as a trusted node, this process ensures ultra-secure communication between two optical ground stations. © 2024 IEEE.

关键词： quantum cryptography

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A Machine Learning-Based Privacy-Preserving Approach to Incorporate Distributed Generators in AC Optimal Power Flow

A Machine Learning-Based Privacy-Preserving Approach to Inco...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Dindar, Burak Saner, Can Berk Polat, Dogukan Yigit Çakmak, Huseyin Kemâl Hagenmeyer, Veit Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Germany National University of Singapore Department of Electrical and Computer Engineering Singapore National University of Singapore School of Computing Singapore

ISBN: (纸本)9789531842976

In order to achieve the goal of a carbon-neutral power system, significant changes to the power grid are underway, necessitating enhanced interoperability between Transmission System Operators (TSOs) and Distribution System Operators (DSOs) for effective grid operation, particularly in light of the growing number of distributed generators (DGs). Data privacy concerns, however, complicate decision-making processes, particularly when integrating DGs into system-wide dispatch decisions. In this paper, we propose a machine-learning (ML)-based method to incorporate DGs located within the distribution system (DS) into dispatch decisions, adhering to data privacy by mitigating the exchange of sensitive data, such as system topology and demand profiles, between TSOs and DSOs. The methodology involves training three ML models to represent the behavior of the DS, thereby replacing the standard power flow model that contains sensitive information. Notably, we utilize a novel tailored neural network (NN) architecture to enhance computational efficiency in mapping the feasible region of the DS. Additionally, we employ open-source data to construct the Baden-Wü rttemberg (Germany) electricity grid, allowing to test our method not only on standard systems but also on a model that more accurately represents real-world power systems. The numerical case studies verify that the proposed method achieves results comparable to standard AC optimal power flow (AC-OPF) in both cost-optimality and computational time. © 2024 IEEE.

关键词： Differential privacy

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Independent control of Spatial Wavefront of Beam Scanning Antenna with Transmissive Phase Gradient Metasurface

Independent control of Spatial Wavefront of Beam Scanning An...

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2024 International Symposium on Antennas and Propagation, ISAP 2024

作者： Anand, Ravi Mezghani, Amine Sarkar, Anirban School of Computing and Electrical Engineering Indian Institute of Technology Mandi Mandi India Department of Electrical and Computer Engineering University of Manitoba WinnipegMBR3T 5V6 Canada

ISBN: (纸本)9798350364774

To control and shape the spatial wavefront of reconfigurable leaky-wave antenna (LWA) by integrating a single layered transmissive phase gradient metasurface (TPGMS) is *** amplitude and phase of transmission is controlled with single layer sub-wavelength design of TPGMS, where phase modulation is achieved through the geometrical manipulation of the unitcell *** proposed unique design of metasurface has advantage of transmission phase tunability and stability for polarization insensitive waves at different angle of *** numerical simulation of the proposed integrated model shows the full control of the scanning beam from 22° to 48° at 5GHz for sub-6GHz applications. © 2024 IEEE.

关键词： Scanning antennas

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Topological Frequency Combs

Topological Frequency Combs

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Flower, Christopher J. Mehrabad, Mahmoud Jalali Xu, Lida Moille, Gregory Srinivasan, Kartik Mittal, Sunil Hafezi, Mohammad Joint Quantum Institute National Institute of Standards and Technology University of Maryland College ParkMD United States Electrical and Computer Engineering Northeastern University BostonMA United States

We demonstrate the generation of a novel type of frequency comb, the topological frequency comb, in a lattice of hundreds of ring resonators. Our results bring together the fields of topological photonics and frequenc... 详细信息

关键词： Topology

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Transformer-Driven Inverse Problem Transform For Fast Blind Hyperspectral Image Dehazing

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IEEE Transactions on Geoscience and Remote Sensing 2024年 62卷 1-1页

作者： Tang, Po-Wei Lin, Chia-Hsiang Liu, Yangrui Department of Electrical Engineering Institute of Computer and Communication Engineering National Cheng Kung University Tainan Taiwan (R.O.C.) Department of Electrical Engineering the Miin Wu School of Computing National Cheng Kung University Tainan Taiwan (R.O.C.)

Hyperspectral dehazing (HyDHZ) has become a crucial signal processing technology to facilitate the subsequent identification and classification tasks, as the airborne visible/infrared imaging spectrometer (AVIRIS) data portal reports a massive portion of haze-corrupted areas in typical hyperspectral remote sensing images. The idea of inverse problem transform (IPT) has been proposed in recent remote sensing literature in order to reformulate a hardly tractable inverse problem (e.g., HyDHZ) into a relatively simple one. Considering the emerging spectral super-resolution (SSR) technique, which spectrally upsamples multispectral data to hyperspectral data, we aim to solve the challenging HyDHZ problem by reformulating it as an SSR problem. Roughly speaking, the proposed algorithm first automatically selects some uncorrupted/informative spectral bands, from which SSR is applied to spectrally upsample the selected bands in the feature space, thereby obtaining a clean hyperspectral image (HSI). The clean HSI is then further refined by a deep transformer network to obtain the final dehazed HSI, where a global attention mechanism is designed to capture nonlocal information. There are very few HyDHZ works in existing literature, and this article introduces the powerful spatial-spectral transformer into HyDHZ for the first time. Remarkably, the proposed transformer-driven IPT-based HyDHZ (T2HyDHZ) is a blind algorithm without requiring the user to manually select the corrupted region. Extensive experiments demonstrate the superiority of T2HyDHZ with less color distortion. © 1980-2012 IEEE.

关键词： Automated band selection hyperspectral remote sensing image dehazing inverse problem spectral super-resolution (SSR) transformer

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