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To address the challenge posed by noise in real quantum devices, quantum error mitigation techniques play a crucial role. These techniques are resource-efficient, making them suitable for implementation in noisy intermediate-scale quantum devices, un
Externí odkaz:
http://arxiv.org/abs/2411.16653
The widespread use of machine learning has raised the question of quantum supremacy for supervised learning as compared to quantum computational advantage. In fact, a recent work shows that computational and learning advantage are, in general, not eq
Externí odkaz:
http://arxiv.org/abs/2304.06687
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-17 (2024)
The widespread use of machine learning has raised the question of quantum supremacy for supervised learning as compared to quantum computational advantage. In fact, a recent work shows that computational and learning advantages are, in general, not e
Externí odkaz:
https://doaj.org/article/147afefcceec456080e8f580da5711d6
Prior information can be incorporated in matrix completion to improve estimation accuracy and extrapolate the missing entries. Reproducing kernel Hilbert spaces provide tools to leverage the said prior information, and derive more reliable algorithms
Externí odkaz:
http://arxiv.org/abs/1906.08770
Matrix completion and extrapolation (MCEX) are dealt with here over reproducing kernel Hilbert spaces (RKHSs) in order to account for prior information present in the available data. Aiming at a faster and low-complexity solver, the task is formulate
Externí odkaz:
http://arxiv.org/abs/1808.00441
Publikováno v:
In Signal Processing October 2022 199
Publikováno v:
In Pattern Recognition September 2022 129
The rising interest in pattern recognition and data analytics has spurred the development of innovative machine learning algorithms and tools. However, as each algorithm has its strengths and limitations, one is motivated to judiciously fuse multiple
Externí odkaz:
http://arxiv.org/abs/1712.02903
Publikováno v:
IEEE Access, Vol 10, Pp 13813-13826 (2022)
We consider the quantum multiple hypothesis testing problem, focusing on the case of hypothesis represented by pure states. A sequential adaptive algorithm is derived and analyzed first. This strategy exhibits a decay rate in the error probability wi
Externí odkaz:
https://doaj.org/article/3c70bf5c786443428827067a06e4f319