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pro vyhledávání: '"Fattah, A A"'
Given a convex set $\Omega$ of $\mathbb{R}^n$, we consider the shape optimization problem of finding a convex subset $\omega\subset \Omega$, of a given measure, minimizing the $p$-distance functional $$\mathcal{J}_p(\omega) := \left(\int_{\mathbb{S}^
Externí odkaz:
http://arxiv.org/abs/2501.00928
Autor:
Sakuldee, Fattah, Abdi, Mehdi
We develop a method for entangling operations on nuclear spins surrounding a negatively charged boron vacancy (VB-center) point defect in hexagonal boron nitride (hBN). To this end, we propose to employ the electron spin of a VB-center as a control q
Externí odkaz:
http://arxiv.org/abs/2411.02828
Publikováno v:
Neural Information Processing Systems (NeurIPS). Machine Learning with New Compute Paradigms (MLNCP) Workshop, October 2024
We present a novel approach for accelerating AI performance by leveraging Anderson extrapolation, a vector-to-vector mapping technique based on a window of historical iterations. By identifying the crossover point (Fig. 1) where a mixing penalty is i
Externí odkaz:
http://arxiv.org/abs/2410.19460
We propose a novel change detection framework to identify changes in the long-term performance behavior of an IaaS service. An IaaS service's long-term performance behavior is represented by an IaaS performance signature. The proposed framework lever
Externí odkaz:
http://arxiv.org/abs/2410.17623
We propose an exercise in which one attempts to deduce the formalism of quantum mechanics from phenomenological observations only. Thus, the only assumed inputs are the multi-time probability distributions estimated from the results of sequential mea
Externí odkaz:
http://arxiv.org/abs/2410.14410
Autor:
Abdullah, Abdulhady Abas, Ahmed, Aram Mahmood, Rashid, Tarik, Veisi, Hadi, Rassul, Yassin Hussein, Hassan, Bryar, Fattah, Polla, Ali, Sabat Abdulhameed, Shamsaldin, Ahmed S.
Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The primary challenge in this field is the effective separation and recogniti
Externí odkaz:
http://arxiv.org/abs/2409.19448
In the noisy intermediate scale quantum (NISQ) era, the control over the qubits is limited due to the errors caused by quantum decoherence, crosstalk, and imperfect calibration. Hence, it is necessary to reduce the size of the large-scale classical d
Externí odkaz:
http://arxiv.org/abs/2409.15214
Autor:
Sakuldee, Fattah
The Gottesman-Kitaev-Preskill (GKP) coding is proven to be a good candidate for encoding a qubit on continuous variables (CV) since it is robust under random-shift disturbance. Its preparation in optical systems, however, is challenging to realize in
Externí odkaz:
http://arxiv.org/abs/2409.08556
Autor:
Rahman, Md Awsafur, Hakim, Zaber Ibn Abdul, Sarker, Najibul Haque, Paul, Bishmoy, Fattah, Shaikh Anowarul
The recent surge in AI-generated songs presents exciting possibilities and challenges. While these inventions democratize music creation, they also necessitate the ability to distinguish between human-composed and synthetic songs to safeguard artisti
Externí odkaz:
http://arxiv.org/abs/2408.14080
Publikováno v:
International Conference on Machine Learning (ICML). Machine Learning for Life and Material Science (ML4LMS) Workshop, May 2024
Deep AndersoNN accelerates AI by exploiting the continuum limit as the number of explicit layers in a neural network approaches infinity and can be taken as a single implicit layer, known as a deep equilibrium model. Solving for deep equilibrium mode
Externí odkaz:
http://arxiv.org/abs/2407.19724