Results 101 to 110 of about 2,977,466 (210)

Quantum metrology with molecular ensembles [PDF]

, 2010
The field of quantum metrology promisesmeasurement devices that are fundamentally superior to conventional technologies. Specifically, when quantum entanglement is harnessed, the precision achieved is supposed to scale more favorably with the resources ...
Marcus Schaffry, Fitzsimons, Joseph, Erik M. Gauger, Brendon W. Lovett, Benjamin, S.C., Morton, John J. L., Schaffry, M., Schaffry, Marcus, Gauger, Erik M., Joseph Fitzsimons, Gauger, E.M., Simon C. Benjamin, Morton, J.J.L., Benjamin, Simon C., Lovett, Brendon W., John J. L. Morton, Lovett, B.W., Fitzsimons, J., Lovett, Brendon W.; id_orcid   +18 more
core   +1 more source

An experience-based classification of quantum bugs in quantum software

Computing
Abstract As quantum computers continue to improve in quality and scale, there is a growing need for accessible software frameworks for programming them. However, the unique behavior of quantum systems means specialized approaches, beyond traditional software development, are required.
Nils Quetschlich, Olivia Di Matteo
openaire   +2 more sources

Quantum machine learning for multiclass classification beyond kernel methods

Quantum machine learning is considered one of the current research fields with great potential. In recent years, Havlíček et al. [Nature (London) 567, 209 (2019)10.1038/s41586-019-0980-2] have proposed a quantum machine learning algorithm with quantum ...
Wang, Yaonan, Gao, Weibo, Ding, Chao, Wang, Shi   +3 more
core   +1 more source

Quantum inspired feature engineering for explainable EEG signal classification

Scientific Reports
In this research, our main objective is to extract more informative features by deploying a simple and effective framework. One of the cheapest data-gathering methods from the brain is electroencephalography signal collection.
Fahad A. Alotaibi, Mehmet Said Nur Yagmahan, Khalid A. Alobaid, Mousa Jari, Omer Faruk Goktas, Mehmet Baygin, Sengul Dogan, Turker Tuncer   +7 more
doaj   +1 more source

Classification of quantum correlations via quantum-inspired machine learning

Quantum Machine Intelligence
Abstract Quantum information theory, and in particular, the theory of quantum state discrimination, has enabled the development of a supervised multi-class classification algorithm. Inspired by the Pretty Good Measurement (PGM), a quantum-inspired classifier named the PGM ...
Giuseppe Sergioli, Andrés Camilo Granda Arango, Carlo Cuccu, Stefania Centrone, Carla Rieger, Roberto Giuntini   +5 more
openaire   +2 more sources

Quantum Cellular Automata for Quantum Error Correction and Density Classification

Physical Review Letters
Quantum cellular automata are alternative quantum-computing paradigms to quantum Turing machines and quantum circuits. Their working mechanisms are inherently automated, therefore measurement free, and they act in a translation invariant manner on all cells/qudits of a register, generating a global rule that updates cell states locally, i.e., based ...
Guedes, T. L. M., Winter, D., Müller, M.   +2 more
openaire   +6 more sources

Quantum Classification Outside the Promised Class

Computers
This paper studies the important problem of quantum classification of Boolean functions from an entirely novel perspective. Typically, quantum classification algorithms allow us to classify functions with a probability of 1.0, if we are promised that they meet specific unique properties.
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris   +4 more
openaire   +4 more sources

Designing quantum multi-category classifier from the perspective of brain processing information

Machine Learning: Science and Technology
In the field of machine learning, the multi-category classification problem plays a crucial role. Solving the problem has a profound impact on driving the innovation and development of machine learning techniques and addressing complex problems in the ...
Xiaodong Ding, Jinchen Xu, Zhihui Song, Yifan Hou, Zheng Shan   +4 more
doaj   +1 more source

An Improved Convolutional Neural Networks: Quantum Pseudo-Transposed Convolutional Neural Networks

IEEE Access
Recent advancements in quantum machine learning have spurred the development of hybrid quantum-classical convolutional neural networks (HQCCNNs), which have demonstrated promising potential for image classification tasks.
Li Hai, Chen Liang, Hao Yaming, Yu Wenli, Shi Fengquan   +4 more
doaj   +1 more source

On the classification of quantum symmetries

21 pages; minor ...
Gordienko, A. S., Pekarsky, A. I.
openaire   +2 more sources