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pro vyhledávání: '"Certo, Salvatore"'
By analyzing the characteristics of hardware-native Ising Models and their performance on current and next generation quantum annealers, we provide a framework for determining the prospect of advantage utilizing adiabatic evolution compared to classi
Externí odkaz:
http://arxiv.org/abs/2311.07388
Publikováno v:
Quantum Machine Intelligence 2023
A framework to learn a multi-modal distribution is proposed, denoted as the Conditional Quantum Generative Adversarial Network (C-qGAN). The neural network structure is strictly within a quantum circuit and, as a consequence, is shown to represent a
Externí odkaz:
http://arxiv.org/abs/2304.10382
Feature selection is a technique in statistical prediction modeling that identifies features in a record with a strong statistical connection to the target variable. Excluding features with a weak statistical connection to the target variable in trai
Externí odkaz:
http://arxiv.org/abs/2211.09756
A new implementation of an adiabatically-trained ensemble model is derived that shows significant improvements over classical methods. In particular, empirical results of this new algorithm show that it offers not just higher performance, but also mo
Externí odkaz:
http://arxiv.org/abs/2210.07984
Grover's search algorithm was a groundbreaking advancement in quantum algorithms, displaying a quadratic speed-up of querying for items. Since the creation of this algorithm it has been utilized in various ways, including in preparing specific states
Externí odkaz:
http://arxiv.org/abs/2209.10484
One of the problems frequently mentioned as a candidate for quantum advantage is that of selecting a portfolio of financial assets to maximize returns while minimizing risk. In this paper we formulate several real-world constraints for use in a Quant
Externí odkaz:
http://arxiv.org/abs/2203.04912
Amplitude Estimation (AE) is a critical subroutine in many quantum algorithms, allowing for a quadratic speedup in various applications like those involving estimating statistics of various functions as in financial Monte Carlo simulations. Much work
Externí odkaz:
http://arxiv.org/abs/2201.06987
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Autor:
Certo, Salvatore1 (AUTHOR) scerto@deloitte.com, Vlasic, Andrew2 (AUTHOR), Beaulieu, Daniel3 (AUTHOR)
Publikováno v:
Quantum Information Processing. Dec2023, Vol. 22 Issue 12, p1-16. 16p.
Akademický článek
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