Billions of neurons coupled through trillions of synapses form the complex computational unit of the brain, that can simultaneously process a massive amount of information received from ...
Abstract: Recently, a new polynomial basis over finite fields was proposed such that the computational complexity of the fast Fourier transform (FFT) is O(n log n). Based on FFTs, the encoding and ...
How to efficiently encode classical data is a fundamental task in quantum computing. While many existing works treat classical data encoding as a black box in oracle-based quantum algorithms, their ...
No matter how fast today’s computers and networks are, the users will constantly need faster and faster services. To reduce the volume of the transferred data we usually use some sort of compression.
Quantum Algorithms Gain Efficiency with New Matrix Encoding Technique Previously, quantum block encoding struggled with matrices containing inherent rank structure, relying on methods designed for ...
Abstract: This project brings an extensive security evaluation of AES, 3DES and Blowfish cryptographic algorithms in a novel triple-layer encryption system. In the first step the modified Caesar ...
AI can be extremely useful in routine programming tasks. For example, it can determine the encoding algorithm of certain values that an API of some service expects to receive. To do this, it is enough ...
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html. :param categories: Categories (unique values) per feature. :param drop ...
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