Zobrazeno 1 - 10
of 264
pro vyhledávání: '"Ismael, C"'
Autor:
David, Mauro, Doganlar, Ismael C., Nazzari, Daniele, Arigliani, Elena, Wacht, Dominik, Sistani, Masiar, Detz, Hermann, Ramer, Georg, Lendl, Bernhard, Weber, Walter M., Strasser, Gottfried, Hinkov, Borislav
Liquid spectroscopy in the mid-infrared spectral range is a very powerful, yet premature technique for selective and sensitive molecule detection. Due to the lack of suitable concepts and materials for versatile miniaturized sensors, it is often stil
Externí odkaz:
http://arxiv.org/abs/2305.16522
Autor:
Vale, Rafaella, Azevedo, Thiago Melo D., Araújo, Ismael C. S., Araujo, Israel F., da Silva, Adenilton J.
Multi-controlled unitary gates have been a subject of interest in quantum computing since its inception, and are widely used in quantum algorithms. The current state-of-the-art approach to implementing n-qubit multi-controlled gates involves the use
Externí odkaz:
http://arxiv.org/abs/2302.06377
Autor:
Souza, Daniel C., Carvalho, Jefferson H.S., Freitas, Rafaela C., Bellettini, Ismael C., Janegitz, Bruno C.
Publikováno v:
In Microchemical Journal November 2024 206
Ubiquitous in quantum computing is the step to encode data into a quantum state. This process is called quantum state preparation, and its complexity for non-structured data is exponential on the number of qubits. Several works address this problem,
Externí odkaz:
http://arxiv.org/abs/2111.03132
Loading data in a quantum device is required in several quantum computing applications. Without an efficient loading procedure, the cost to initialize the algorithms can dominate the overall computational cost. A circuit-based quantum random access m
Externí odkaz:
http://arxiv.org/abs/2011.07977
Through superposition, a quantum computer is capable of representing an exponentially large set of states, according to the number of qubits available. Quantum machine learning is a subfield of quantum computing that explores the potential of quantum
Externí odkaz:
http://arxiv.org/abs/2007.09293
Autor:
Gamboa, Juan C. Rodriguez, da Silva, Adenilton J., Araujo, Ismael C. S., E., Eva Susana Albarracin, A, Cristhian M. Duran
Publikováno v:
Sensors and Actuators B: Chemical, v. 327, 2021
Real-time gas classification is an essential issue and challenge in applications such as food and beverage quality control, accident prevention in industrial environments, for instance. In recent years, the Deep Learning (DL) models have shown great
Externí odkaz:
http://arxiv.org/abs/2005.01611
Autor:
Oliveira, Pâmela R., da Costa, Renata C., Malvessi, Daniele S., Daitx, Tales S., Mauler, Raquel S., Miotto, Marília, Bobermin, Daiane M., Crespo, Janaina S., Teixeira, Cristiano S., Bellettini, Ismael C., Carli, Larissa N.
Publikováno v:
In Applied Clay Science 1 September 2023 241
Autor:
Ismael C. Adolf, Linus P. Rweyemamu, Gokce Akan, Ted F. Mselle, Nazima Dharsee, Lucy A. Namkinga, Sylvester L. Lyantagaye, Fatmahan Atalar
Publikováno v:
Cancer Medicine, Vol 12, Iss 1, Pp 472-487 (2023)
Abstract Background Reproductive history and genetics are well‐known risk factors of breast cancer (BC). Little is known about how these factors interact to effect BC. This study investigated the association of ten polymorphisms in DNA repair genes
Externí odkaz:
https://doaj.org/article/04d4f4aef892441d8113539c4bfc120c
Publikováno v:
International Journal of Quantum Information, Volume 16, No. 06, 1840005 (2018)
This paper proposes a quantum-classical algorithm to evaluate and select classical artificial neural networks architectures. The proposed algorithm is based on a probabilistic quantum memory and the possibility to train artificial neural networks in
Externí odkaz:
http://arxiv.org/abs/1808.09058