Zobrazeno 1 - 10
of 9 818
pro vyhledávání: '"A. Pooya"'
Autor:
Silva, Allyson, Scherer, Artur, Webb, Zak, Khalid, Abdullah, Kulchytskyy, Bohdan, Kramer, Mia, Nguyen, Kevin, Kong, Xiangzhou, Dagnew, Gebremedhin A., Wang, Yumeng, Nguyen, Huy Anh, Olfert, Katiemarie, Ronagh, Pooya
We propose a novel technique for optimizing a modular fault-tolerant quantum computing architecture, taking into account any desired space-time trade--offs between the number of physical qubits and the fault-tolerant execution time of a quantum algor
Externí odkaz:
http://arxiv.org/abs/2411.04270
Autor:
Klaver, Yvan, Morsche, Randy te, Botter, Roel A., Hashemi, Batoul, Frare, Bruno L. Segat, Mishra, Akhileshwar, Ye, Kaixuan, Mbonde, Hamidu, Ahmadi, Pooya Torab, Taleghani, Niloofar Majidian, Jonker, Evan, Braamhaar, Redlef B. G., Selvaganapathy, Ponnambalam Ravi, Mascher, Peter, van der Slot, Peter J. M., Bradley, Jonathan D. B., Marpaung, David
Seamlessly integrating stimulated Brillouin scattering (SBS) in a low-loss and mature photonic integration platform remains a complicated task. Virtually all current approaches fall short in simultaneously achieving strong SBS, low losses, and techno
Externí odkaz:
http://arxiv.org/abs/2410.16263
Portfolio construction has been a long-standing topic of research in finance. The computational complexity and the time taken both increase rapidly with the number of investments in the portfolio. It becomes difficult, even impossible for classic com
Externí odkaz:
http://arxiv.org/abs/2410.11997
Autor:
Chaitanya, Krishna, Damasceno, Pablo F., Fadnavis, Shreyas, Mobadersany, Pooya, Parmar, Chaitanya, Scherer, Emily, Zemlianskaia, Natalia, Surace, Lindsey, Ghanem, Louis R., Cula, Oana Gabriela, Mansi, Tommaso, Standish, Kristopher
Accurate assessment of disease severity from endoscopy videos in ulcerative colitis (UC) is crucial for evaluating drug efficacy in clinical trials. Severity is often measured by the Mayo Endoscopic Subscore (MES) and Ulcerative Colitis Endoscopic In
Externí odkaz:
http://arxiv.org/abs/2410.00536
Autor:
Ashtari, Pooya, Behmandpoor, Pourya, Haredasht, Fateme Nateghi, Chen, Jonathan H., Patrinos, Panagiotis, Van Huffel, Sabine
Lossy image compression is essential for efficient transmission and storage. Traditional compression methods mainly rely on discrete cosine transform (DCT) or singular value decomposition (SVD), both of which represent image data in continuous domain
Externí odkaz:
http://arxiv.org/abs/2408.12691
Echoed conditional displacement (ECD) gates for bosonic systems have become the key element for real-time quantum error correction beyond the break-even point. These gates are characterized by a single complex parameter $\beta$, and can be constructe
Externí odkaz:
http://arxiv.org/abs/2408.05299
This paper proposes a hybrid fusion-based deep learning approach based on two different modalities, audio and video, to improve human activity recognition and violence detection in public places. To take advantage of audiovisual fusion, late fusion,
Externí odkaz:
http://arxiv.org/abs/2408.02033
Using "soft" targets to improve model performance has been shown to be effective in classification settings, but the usage of soft targets for regression is a much less studied topic in machine learning. The existing literature on the usage of soft t
Externí odkaz:
http://arxiv.org/abs/2407.20475
Every known communication problem whose randomized communication cost is constant (independent of the input size) can be reduced to $k$-Hamming Distance, that is, solved with a constant number of deterministic queries to some $k$-Hamming Distance ora
Externí odkaz:
http://arxiv.org/abs/2407.20204
Autor:
Pooya, N. Nazari
In this study, we investigate two widely recognized Interacting Dark Energy(IDE) models and assess their compatibility with observational data, focusing on the growth rate of matter perturbations. We explore IDE models with different equations of sta
Externí odkaz:
http://arxiv.org/abs/2407.03766