1,296 research outputs found
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with Completeness Analysis
With the contemporary digital technology approaching, deep neural networks
are emerging as the foundational algorithm of the artificial intelligence boom.
Whereas, the evolving social demands have been emphasizing the necessity of
novel methodologies to substitute traditional neural networks. Concurrently,
the advent of the post-Moore era has spurred the development of
quantum-inspired neural networks with outstanding potentials at certain
circumstances. Nonetheless, a definitive evaluating system with detailed
metrics is tremendously vital and indispensable owing to the vague indicators
in comparison between the novel and traditional deep learning models at
present. Hence, to improve and evaluate the performances of the novel neural
networks more comprehensively in complex and unpredictable environments, we
propose two hybrid quantum-inspired neural networks which are rooted in
residual and dense connections respectively for pattern recognitions with
completeness representation theory for model assessment. Comparative analyses
against pure classical models with detailed frameworks reveal that our hybrid
models with lower parameter complexity not only match the generalization power
of pure classical models, but also outperform them notably in resistance to
parameter attacks with various asymmetric noises. Moreover, our hybrid models
indicate unique superiority to prevent gradient explosion problems through
theoretical argumentation. Eventually, We elaborate on the application
scenarios where our hybrid models are applicable and efficient, which paves the
way for their industrialization and commercialization.Comment: 12 pages for main paper with 13-page supplementary materials with a
hyperlink in the last page of the main pape
Quantum-accelerated algorithms for generating random primitive polynomials over finite fields
Primitive polynomials over finite fields are crucial for various domains of
computer science, including classical pseudo-random number generation, coding
theory and post-quantum cryptography. Nevertheless, the pursuit of an efficient
classical algorithm for generating random primitive polynomials over finite
fields remains an ongoing challenge. In this paper, we show how to solve this
problem efficiently through hybrid quantum-classical algorithms, and designs of
the specific quantum circuits to implement them are also presented. Our
research paves the way for the rapid and real-time generation of random
primitive polynomials in diverse quantum communication and computation
applications
Quasi-Periodic Variations in X-ray Emission and Long-Term Radio Observations: Evidence for a Two-Component Jet in Sw J1644+57
The continued observations of Sw J1644+57 in X-ray and radio bands
accumulated a rich data set to study the relativistic jet launched in this
tidal disruption event. The X-ray light curve of Sw J1644+57 from 5-30 days
presents two kinds of quasi-periodic variations: a 200 second quasi-periodic
oscillation (QPO) and a 2.7-day quasi-periodic variation. The latter has been
interpreted by a precessing jet launched near the Bardeen-Petterson radius of a
warped disk. Here we suggest that the 200s QPO could be associated with
a second, narrower jet sweeping the observer line-of-sight periodically, which
is launched from a spinning black hole in the misaligned direction with respect
to the black hole's angular momentum. In addition, we show that this
two-component jet model can interpret the radio light curve of the event,
especially the re-brightening feature starting days after the
trigger. From the data we infer that inner jet may have a Lorentz factor of
and a kinetic energy of , while the outer jet may have a Lorentz factor of
and a kinetic energy of .Comment: 11 pages, 7 figures, accepted for publication in Ap
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