On-chip distribution of quantum information using traveling phonons

Kavli Affiliate: Simon Groblacher | First 5 Authors: Amirparsa Zivari, Niccolò Fiaschi, Roel Burgwal, Ewold Verhagen, Robert Stockill | Summary: Distributing quantum entanglement on a chip is a crucial step towards realizing scalable quantum processors. Using traveling phonons – quantized guided mechanical wavepackets – as a medium to transmit quantum states is currently gaining significant […]


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Modern applications of machine learning in quantum sciences

Kavli Affiliate: Eliska Greplova | First 5 Authors: Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Płodzień | Summary: In these Lecture Notes, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learning and kernel methods in […]


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Modern applications of machine learning in quantum sciences

Kavli Affiliate: Eliska Greplova | First 5 Authors: Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Płodzień | Summary: In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learning and kernel methods in supervised, […]


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Music Influence Modeling Based on Directed Network Model

Kavli Affiliate: Lihong Wang | First 5 Authors: Xuan Zhang, Tingdi Ren, Lihong Wang, Haiyong Xu, | Summary: Studying the history of music may provide a glimpse into the development of human creativity as we examine the evolutionary and revolutionary trends in music and genres. First, a musical influence metric was created to construct a […]


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A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning

Kavli Affiliate: Wei Gao | First 5 Authors: Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao, | Summary: The diffusion of rumors on microblogs generally follows a propagation tree structure, that provides valuable clues on how an original message is transmitted and responded by users over time. Recent studies reveal that rumor detection and stance […]


Continue.. A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning

A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning

Kavli Affiliate: Wei Gao | First 5 Authors: Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao, | Summary: The diffusion of rumors on microblogs generally follows a propagation tree structure, that provides valuable clues on how an original message is transmitted and responded by users over time. Recent studies reveal that rumor detection and stance […]


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Equivalence of coupled parametric oscillator dynamics to Lagrange multiplier primal-dual optimization

Kavli Affiliate: Eli Yablonovitch | First 5 Authors: Sri Krishna Vadlamani, Tianyao Patrick Xiao, Eli Yablonovitch, , | Summary: There has been a recent surge of interest in physics-based solvers for combinatorial optimization problems. We present a dynamical solver for the Ising problem that is comprised of a network of coupled parametric oscillators and show […]


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Software Rasterization of 2 Billion Points in Real Time

Kavli Affiliate: Michael Wimmer | First 5 Authors: Markus Schütz, Bernhard Kerbl, Michael Wimmer, , | Summary: We propose a software rasterization pipeline for point clouds that is capable of brute-force rendering up to two billion points in real time (60fps). Improvements over the state of the art are achieved by batching points in a […]


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Distributed optical fiber sensing using forward propagation of multiple modes

Kavli Affiliate: Alireza Marandi | First 5 Authors: Luis Costa, Zhongwen Zhan, Alireza Marandi, , | Summary: Fiber optic distributed sensors typically demand bidirectional propagation in optical fibers to localize each point of measurement. This imposes barriers to their deployment in long-haul, amplified telecommunication links and prevents massive range enhancement through in-line amplification, due to […]


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