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Statistical Complexity of Quantum Learning

open access: yesAdvanced Quantum Technologies, EarlyView.
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi   +3 more
wiley   +1 more source

Development and evaluation of a Hadamard transform imaging spectrometer and a Hadamard transform thermal imager [PDF]

open access: yes
A spectrometric imager and a thermal imager, which achieve multiplexing by the use of binary optical encoding masks, were developed. The masks are based on orthogonal, pseudorandom digital codes derived from Hadamard matrices.
Decker, J.   +4 more
core   +1 more source

Octal Bent Generalized Boolean Functions [PDF]

open access: yes, 2011
In this paper we characterize (octal) bent generalized Boolean functions defined on $\BBZ_2^n$ with values in $\BBZ_8$. Moreover, we propose several constructions of such generalized bent functions for both $n$ even and $n ...
Martinsen, Thor, Stanica, Pante
core   +1 more source

Protection technique for series capacitor compensated three phase transmission line connected with distributed generation using discrete Walsh Hadamard transform

open access: yesInternational Journal of Engineering Science and Technology, 2019
This study proposes a discrete Walsh Hadamard transform (DWHT) based protection technique for the detection of fault and identification of faulty phase in series capacitor compensated three phase transmission line connected with distributed generation ...
Gaurav Kapoor
semanticscholar   +1 more source

GAN Decoder on a Quantum Toric Code for Noise‐Robust Quantum Teleportation

open access: yesAdvanced Quantum Technologies, EarlyView.
This study proposes a novel quantum topological code decoder using generative adversarial networks (GANs). By training the GAN with eigenvalue datasets, an enhanced decoding threshold and robust quantum teleportation under depolarizing noise are achieved.
Jiaxin Li   +4 more
wiley   +1 more source

Multi‐Channel Convolutional Neural Quantum Embedding

open access: yesAdvanced Quantum Technologies, EarlyView.
This study presents convolutional neural quantum embedding (CNQE), a framework for optimizing quantum data embeddings for multi‐channel data classification, grounded in quantum state discrimination and Fourier analysis of quantum circuits. CNQE is validated through proof‐of‐principle demonstrations on CIFAR‐10 and Tiny ImageNet, showing improved ...
Yujin Kim   +4 more
wiley   +1 more source

Entanglement Swapping for Partially Entangled Qudits and the Role of Quantum Complementarity

open access: yesAdvanced Quantum Technologies, EarlyView.
The entanglement swapping protocol is extended to partially entangled qudit states and analyzed through complete complementarity relations. Analytical bounds on the average distributed entanglement are established, showing how the initial local predictability and entanglement constrain the operational distribution.
Diego S. Starke   +3 more
wiley   +1 more source

Spatial price competition and buyer power in the U.S. beef packing industry

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract We develop a spatially‐explicit model of the U.S. beef packing industry to study key questions related to competition in an oligopsony setting. Cattle supplies are modeled at the county level, and packing plants' location, capacity, and ownership are taken as given. Packers procure negotiated cattle by competing in prices in each local (county)
GianCarlo Moschini, T. Jake Smith
wiley   +1 more source

PAPR reduction of optical OFDM signals in visible light communications

open access: yesICT Express, 2019
Orthogonal frequency division multiplexing (OFDM) is extensively used in optical communications to achieve high rate transmission. In this paper, Vandermonde like matrix (VLM) pre-coding approach is offered to reduce the high peak-to-average power ratio (
Abbas Ali Sharifi
doaj   +1 more source

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