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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Shalaev, Vladimir M. School of Electrical and Computer Engineering Birck Nanotechnology Center Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Oak RidgeTN37931 United States

I will discuss our research effort on engineering solid-state quantum emitters in material platforms for integrated photonics and applying plasmonic metamaterials for light-matter interaction enhancement and achieving... 详细信息

ISBN: (纸本)9781957171258

关键词： Photonics

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Integrated Control Addressing Circuits for a Surface Code quantum computer in Silicon 22

Integrated Control Addressing Circuits for a Surface Code Qu...

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Proceedings of the 17th ACM International Symposium on Nanoscale Architectures

作者： Rubaya Absar Zach D. Merino Hazem Elgabra Xuesong Chen Jonathan Baugh Lan Wei Electrical and Computer Engineering University of Waterloo Waterloo Ontario Canada Institute for quantum computing University of Waterloo Waterloo Ontario Canada

ISBN: (纸本)9781450399388

quantum computers require a coordinated operation on a large number of quantum bits (qubits), presenting considerable obstacles such as system integration on a large scale, individual qubits control with precision, and significant error correction overhead. Silicon (Si) quantum dot (QD) spin qubits paired with CMOS control circuits promise a scalable solution due to its potential for large-scale integration utilizing well-established semiconductor technologies. This paper proposes a control addressing scheme for QD spin qubits operating on a node network architecture. Compared to the typical 2-dimensional array architecture, this approach considerably lowers the area constraint for control signal routing. Scalable circuits are designed to route the control signals for local and global operations of a surface code quantum error correction through the modular design of tiered switches controlled by demultiplexers. The proposed method is a critical step toward implementing scalable solid-state quantum processors.

关键词： electron spin qubits quantum dots CMOS addressing circuits

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PEPC: Parallel and Extensible PC Implementation for Causal Structure Learning 23

PEPC: Parallel and Extensible PC Implementation for Causal S...

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7th International Conference on High Performance Compilation, computing and Communications, HP3C 2023

作者： Feng, Yongquan Xu, Liyang Huang, Wanrong Yang, Wenjing Lu, Yutong Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (纸本)9781450399883

Learning the causal relationships among variables from observational data has been a significant problem in statistics and data mining, and one such algorithm is the PC algorithm. However, the existing CPU-based implementations are difficult to support Causal Structure Learning(CSL) on complex observational data due to inefficiency. In this paper, we propose an efficient CPU-based parallel implementation of the PC algorithm, called PEPC. It has an extensible framework, and some optimizations are adopted to reduce the CSL computation of the PC algorithm. Moreover, our PEPC supports efficient multi-thread parallelism. The experimental results demonstrate that PEPC outperforms existing methods in serial efficiency and multi-thread parallelism. In serial tests, our method achieves the maximum speedup ratios of 577.26, 116.74, and 134.68 over three existing approaches, Stable, ***, and Tetrad. In parallel experiments, it achieves 10.66X speedup when running the PC algorithm with 12 threads. © 2023 ACM.

关键词： Learning algorithms

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Early Epilepsy Diagnosis using Epistemic Neural Networks with Electric Eel Foraging Optimization and Secure EEG Data Sharing via Blockchain 3

Early Epilepsy Diagnosis using Epistemic Neural Networks wit...

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3rd International Conference on Automation, computing and Renewable Systems, ICACRS 2024

作者： Kader, Mohideen Abdul M. Ali, Baba Fakruddin B.H. Hariharan, R. Ledalla, Sukanya Kadam, Swaraj Department of Computing Technologies School of Computing SRM Institute of Science and Technology Tamilnadu Kattankulathur India Department of AIDE Jain deemed to be university Karnataka Bangalore India Department of Computer Science and Engineering Koneru Lakshmaiah Foundation Telangana Hyderabad India Department of Electrical Engineering Dr. D Y Patil Institute of Technology Maharashtra Pune India

ISBN: (纸本)9798331532420

Epilepsy is still quite common, affecting over 50 million individuals worldwide, despite the tremendous advances in contemporary therapy. Early detection and treatment can greatly lower the chance of long-term harm and raise living standards for those with epilepsy. Electroencephalography (EEG), a non-invasive method that tracks electrical activity in the brain, is frequently used to diagnose this neurological disorder. Yet, using EEG data for diagnosis and study raises a number of issues with patient privacy and security protocols for such private digital data. An early epilepsy diagnostic system and a decentralized, secure environment for exchanging EEG data based on a block chain-based system with DL integration are presented in this work. The proposed method makes it possible to maintain patients’ personal data confidentiality and, at the same time, increase the efficiency of early epilepsy diagnosis. The most frequently used preprocessing technique in the strategy is Multiple Discrete Orthonormal S-Transforms (MDOSTs), and for feature extraction, Memory Efficient Vision Transformer-based Feature Extraction is employed. In classification, we use an Epistemic Neural Network (ENN) to achieve high precision and reliable prediction through the Electric Eel Foraging Optimization (EEFO) algorithm. The storage and dissemination of the data are both proactively secured through blockchain;through smart contracts, patients completely govern their data. The analysis of the Temple University Hospital EEG Corpus (TUH EEG) dataset proves that this method is diagnosed more than the traditional one, while the protection level of this data is also high. By achieving above 99% performance on all evaluation measures, such as F1-score, accuracy, recall, specificity, and precision, the suggested method demonstrates its remarkable efficacy in both secure EEG data sharing and early epilepsy detection. The method's higher performance over conventional approaches can be attributed to it

关键词： Electroencephalography

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Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors 38

Principled Probabilistic Imaging using Diffusion Models as P...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Wu, Zihui Sun, Yu Chen, Yifan Zhang, Bingliang Yue, Yisong Bouman, Katherine L. Department of Computing and Mathematical Sciences Caltech United States Department of Electrical Engineering Caltech United States Department of Astronomy Caltech United States Department of Electrical and Computer Engineering Johns Hopkins University United States Courant Institute of Mathematical Sciences New York University United States

Diffusion models (DMs) have recently shown outstanding capabilities in modeling complex image distributions, making them expressive image priors for solving Bayesian inverse problems. However, most existing DM-based methods rely on approximations in the generative process to be generic to different inverse problems, leading to inaccurate sample distributions that deviate from the target posterior defined within the Bayesian framework. To harness the generative power of DMs while avoiding such approximations, we propose a Markov chain Monte Carlo algorithm that performs posterior sampling for general inverse problems by reducing it to sampling the posterior of a Gaussian denoising problem. Crucially, we leverage a general DM formulation as a unified interface that allows for rigorously solving the denoising problem with a range of state-of-the-art DMs. We demonstrate the effectiveness of the proposed method on six inverse problems (three linear and three nonlinear), including a real-world black hole imaging problem. Experimental results indicate that our proposed method offers more accurate reconstructions and posterior estimation compared to existing DM-based imaging inverse methods. © 2024 Neural information processing systems foundation. All rights reserved.

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Tailored Beam-Forming for Atomic Systems with Integrated Optics

Tailored Beam-Forming for Atomic Systems with Integrated Opt...

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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： Beck, Gillenhaal J. Mehta, Karan K. Home, Jonathan P. Institute for Quantum Electronics ETH Zürich Otto-Stern-Weg 1 Zürich8093 Switzerland Electrical and Computer Engineering Cornell University 315 Phillips Hall IthacaNY14853 United States

We demonstrate micron-scale focusing of fundamental and higher-order modes, including Laguerre-Gaussian "vortex" beams, from waveguide-to-free-space grating outcouplers at ultraviolet and visible wavelengths... 详细信息

关键词： Integrated optics

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Multi-Agent RL for Sleep Mode and Antenna Configuration with User Offloading Under Dynamic Traffic in Massive MIMO Networks

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IEEE Transactions on Vehicular Technology 2025年第6期74卷 9734-9749页

作者： Zhang, Shuai Cai, Tianzhang Demir, Ozlem Tugfe Cavdar, Cicek KTH Royal Institute of Technology Stockholm164 40 Sweden Nanjing University of Aeronautics and Astronautics College of Astronautics Nanjing211106 China University of Cambridge Institute of Computing for Climate Science CambridgeCB3 0WA United Kingdom TOBB University of Economics and Technology Ankara Turkey KTH Royal Institute of Technology School of Electrical Engineering and Computer Science Stockholm164 40 Sweden

In this paper, we focus on minimizing the total energy consumption of multi-cell massive multiple-input multiple-output (MIMO) networks while simultaneously guaranteeing user quality of service (QoS). This is achieved by optimizing the multi-level advanced sleep modes (ASM), antenna switching, and user association of the base stations (BSs). Due to the interdependence of user association and inter-cell interference in the network, collaborative efforts among individual BSs become imperative. The problem is modeled as a decentralized partially observable Markov decision process (DEC-POMDP) and a multi-agent proximal policy optimization (MAPPO) algorithm is proposed to obtain a collaborative BS control policy. Simulation results demonstrate that the obtained policy can significantly improve network energy efficiency, adaptively switch the BSs into different depths of sleep, reduce inter-cell interference, and maintain good QoS compared to the two benchmark algorithms. The results also validate that enabling user offloading among BSs can improve both user QoS and system performance. The superiority of MAPPO is further affirmed by comparing it with the single-agent deep Q network (DQN) algorithm. © 1967-2012 IEEE.

关键词： Energy utilization

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Tailored Beam-Forming for Atomic Systems with Integrated Optics

Tailored Beam-Forming for Atomic Systems with Integrated Opt...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

ISBN: (纸本)9781957171395

关键词： Laser beams

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Spatial Avoided Crossing in Optical Emission of Site-Controlled Pyramidal quantum Dots in Photonic Crystal Cavities

Spatial Avoided Crossing in Optical Emission of Site-Control...

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

作者： Huang, Jiahui Miranda, Alessio Dwir, Benjamin Rudra, Alok Kapon, Eli Wong, Chee Wei Mesoscopic Optics and Quantum Electronics Laboratory Department of Electrical and Computer Engineering University of California Los AngelesCA United States Institute of Physics École Polytechnique Fédérale de Lausanne Lausanne Switzerland

Interactions of site-controlled quantum dots with a high-order cavity mode of an L7-type photonic crystal cavity are resolved spatially and spectrally. We observed a spatial avoided crossing in polarization-resolved o... 详细信息

ISBN: (纸本)9781957171395

关键词： Photonic crystals

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Non-Classical quantum State Generation using Superconducting-Nanostrip Photon-Number Resolving Detector with Optical Sampling

Non-Classical Quantum State Generation using Superconducting...

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2024 Frontiers in Optics, FiO 2024

作者： Endo, Mamoru Takahashi, Kazuma Nomura, Takefumi Sonoyama, Tatsuki Miki, Shigehito Yabuno, Masahiro Terai, Hirotaka Kashiwazaki, Takahiro Inoue, Asuka Umeki, Takeshi Nehra, Rajveer Takase, Kan Asavanant, Warit Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-8656 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan Advanced ICT Research Institute National Institute of Information and Communications Technology Japan Department of Electrical and Computer Engineering University of Massachusetts Amherst AmherstMA01003 United States Department of Physics University of Massachusetts Amherst AmherstMA01003 United States College of Information and Computer Science University of Massachusetts Amherst AmherstMA01003 United States

Superconducting-nanostrip photon detectors with optical sampling method now function as true photon-number resolving detectors in real-time without multiplexing. We applied this technique for quantum state generation ... 详细信息

关键词： quantum computers

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