Results 161 to 170 of about 12,410,821 (356)

Toward Useful Quantum Kernels

open access: yesAdvanced Quantum Technologies, EarlyView.
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini   +2 more
wiley   +1 more source

Rational points on the unit sphere

open access: yesOpen Mathematics, 2008
Schmutz Eric
doaj   +1 more source

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

Quantum‐Noise‐Driven Generative Diffusion Models

open access: yesAdvanced Quantum Technologies, EarlyView.
Diffusion Models (DMs) are today a very popular class of generative models for Machine Learning (ML), using a noisy dynamics to learn an unknown density probability of a finite set of samples in order to generate new synthetic data. This study proposes a method to generalize them into the quantum domain by introducing and investigating what are termed ...
Marco Parigi   +2 more
wiley   +1 more source

A generalization of the unitary group

open access: yesLinear Algebra and its Applications, 1970
William R. Gordon, Marvin Marcus
openaire   +3 more sources

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