کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
405427 677614 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quantum perceptron over a field and neural network architecture selection in a quantum computer
ترجمه فارسی عنوان
پراسپرتر کوانتومی بر روی یک میدان معماری و انتخاب شبکه معماری شبکه عصبی در یک کامپیوتر کوانتومی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

In this work, we propose a quantum neural network named quantum perceptron over a field (QPF). Quantum computers are not yet a reality and the models and algorithms proposed in this work cannot be simulated in actual (or classical) computers. QPF is a direct generalization of a classical perceptron and solves some drawbacks found in previous models of quantum perceptrons. We also present a learning algorithm named Superposition based Architecture Learning algorithm (SAL) that optimizes the neural network weights and architectures. SAL searches for the best architecture in a finite set of neural network architectures with linear time over the number of patterns in the training set. SAL is the first learning algorithm to determine neural network architectures in polynomial time. This speedup is obtained by the use of quantum parallelism and a non-linear quantum operator.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 76, April 2016, Pages 55–64
نویسندگان
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