Zobrazeno 1 - 10
of 437
pro vyhledávání: '"P. Borle"'
Publikováno v:
Journal of Krishna Institute of Medical Sciences University, Vol 13, Iss 1, Pp 133-139 (2024)
Background: The mechanistic relationship between the methylation process of the vitamin D gene and its impact on vitamin D levels and COVID-19 infection severity remains a subject of ongoing investigation. However, the lack of vaccines and targeted t
Externí odkaz:
https://doaj.org/article/80b3b2855c0840a788cd329091a88ebe
Autor:
Borle, Ajinkya, Bhave, Ameya
Biclustering is a problem in machine learning and data mining that seeks to group together rows and columns of a dataset according to certain criteria. In this work, we highlight the natural relation that quantum computing models like boson and Gauss
Externí odkaz:
http://arxiv.org/abs/2405.18622
One of the major benefits of quantum computing is the potential to resolve complex computational problems faster than can be done by classical methods. There are many prototype-based clustering methods in use today, and selection of the starting node
Externí odkaz:
http://arxiv.org/abs/2401.11258
Autor:
Bhave, Ameya, Borle, Ajinkya
Quantum annealing is an emerging metaheuristic used for solving combinatorial optimisation problems. However, hardware based physical quantum annealers are primarily limited to a single vendor. As an alternative, we can discretise the quantum anneali
Externí odkaz:
http://arxiv.org/abs/2307.09695
One of the major benefits of quantum computing is the potential to resolve complex computational problems faster than can be done by classical methods. There are many prototype-based clustering methods in use today, and the selection of the starting
Externí odkaz:
http://arxiv.org/abs/2305.08626
Autor:
Borle, Ajinkya, Lomonaco, Samuel J.
With the increasing popularity of quantum computing and in particular quantum annealing, there has been growing research to evaluate the meta-heuristic for various problems in linear algebra: from linear least squares to matrix and tensor factorizati
Externí odkaz:
http://arxiv.org/abs/2206.10576
Autor:
Thu Ha Dang, Chris Ludlow, Hannah Borle, Marliese Alexander, Nilmini Wickramasinghe, Kate Burbury, Prem Prakash Jayaraman, Penelope Schofield
Publikováno v:
PEC Innovation, Vol 5, Iss , Pp 100335- (2024)
Background: Oncology healthcare professionals (HCPs) using motivational interviewing may motivate and support patients with chronic illness to adhere to medications. Research of online motivational interviewing training focusing on medication adheren
Externí odkaz:
https://doaj.org/article/51ec9809362b4e739f1b3e26edecad2a
The Quantum Approximate Optimization Algorithm (QAOA) by Farhi et al. is a quantum computational framework for solving quantum or classical optimization tasks. Here, we explore using QAOA for Binary Linear Least Squares (BLLS); a problem that can ser
Externí odkaz:
http://arxiv.org/abs/2006.15438
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Borle, Ajinkya, McCarter, Josh
The use of quantum computing for applications involving optimization has been regarded as one of the areas it may prove to be advantageous (against classical computation). To further improve the quality of the solutions, post-processing techniques ar
Externí odkaz:
http://arxiv.org/abs/1905.13107