Results 81 to 90 of about 22,588 (154)

Random coordinate descent: A simple alternative for optimizing parameterized quantum circuits

open access: yesPhysical Review Research
Variational quantum algorithms rely on the optimization of parameterized quantum circuits in noisy settings. The commonly used back-propagation procedure in classical machine learning is not directly applicable in this setting due to the collapse of ...
Zhiyan Ding   +4 more
doaj   +1 more source

Performance Analysis of an Optical System for FSO Communications Utilizing Combined Stochastic Gradient Descent Optimization Algorithm

open access: yesApplied System Innovation
Wavefront aberrations caused by thermal flows or arising from the quality of optical components can significantly impair wireless communication links. Such aberrations may result in an increased error rate in the received signal, leading to data loss in ...
Ilya Galaktionov, Vladimir Toporovsky
doaj   +1 more source

Stochastic Gradient Descent with Strategic Querying

open access: yes2025 IEEE 64th Conference on Decision and Control (CDC)
18 pages, 2 figures. Accepted to IEEE Conference on Decision and Control (CDC) 2025.
Nanfei Jiang   +2 more
openaire   +2 more sources

A Novel Sophia-SPGD (Stochastic Parallel Gradient Descent) Optimization Method for Wavefront Correction in WFS-Less AO (Wavefront Sensorless Adaptive Optics) Systems

open access: yesPhotonics
In wavefront sensorless adaptive optics (WFS-less AO) systems, stochastic parallel gradient descent (SPGD) is the primary optimization method for correcting wavefront distortions. However, as the intensity of atmospheric turbulence interference increases,
Peng Chen   +6 more
doaj   +1 more source

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