HL Huang, XY Xu, C Guo, G Tian, SJ Wei… - Science China Physics …, 2023 - Springer
Quantum computing is a game-changing technology for global academia, research centers and industries including computational science, mathematics, finance, pharmaceutical …
Quantum machine learning is expected to be one of the first practical applications of near- term quantum devices. Pioneer theoretical works suggest that quantum generative …
F Leymann, J Barzen - Quantum Science and Technology, 2020 - iopscience.iop.org
Implementing a gate-based quantum algorithm on an noisy intermediate scale quantum (NISQ) device has several challenges that arise from the fact that such devices are noisy …
Variational quantum circuits are becoming tools of choice in quantum optimization and machine learning. In this paper we investigate a class of variational circuits for the purposes …
The variational quantum eigensolver is one of the most promising approaches for performing chemistry simulations using noisy intermediate-scale quantum (NISQ) …
VV Shende, SS Bullock, IL Markov - Proceedings of the 2005 Asia and …, 2005 - dl.acm.org
The pressure of fundamental limits on classical computation and the promise of exponential speedups from quantum effects have recently brought quantum circuits to the attention of the …
M Plesch, Č Brukner - Physical Review A—Atomic, Molecular, and Optical …, 2011 - APS
In quantum computation every unitary operation can be decomposed into quantum circuits— a series of single-qubit rotations and a single type entangling two-qubit gates, such as …
Adversarial machine learning is an emerging field that focuses on studying vulnerabilities of machine learning approaches in adversarial settings and developing techniques …
D Bokhan, AS Mastiukova, AS Boev… - Frontiers in …, 2022 - frontiersin.org
Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or …