Zobrazeno 1 - 10
of 2 157
pro vyhledávání: '"Magoulas, A"'
Unitary transformations play a fundamental role in many-body physics, and except for special cases, they are not expressible in closed form. We present closed-form expressions for unitary transformations generated by a single fermionic operator for H
Externí odkaz:
http://arxiv.org/abs/2408.09636
Shallow, CNOT-efficient quantum circuits are crucial for performing accurate computational chemistry simulations on current noisy quantum hardware. Here, we explore the usefulness of non-iterative energy corrections, based on the method of moments of
Externí odkaz:
http://arxiv.org/abs/2305.01097
We have recently constructed compact, CNOT-efficient, quantum circuits for fermionic and qubit excitations of arbitrary many-body rank [I. Magoulas and F.A. Evangelista, J. Chem. Theory Comput. 19, 822 (2023)]. Here, we present approximations to thes
Externí odkaz:
http://arxiv.org/abs/2304.12870
Efficient quantum circuits are necessary for realizing quantum algorithms on noisy intermediate-scale quantum devices. Fermionic excitations entering unitary coupled-cluster (UCC) ans\"atze give rise to quantum circuits containing CNOT "staircases" w
Externí odkaz:
http://arxiv.org/abs/2210.05771
Autor:
Katerina Skaraki, Christina Pavloudi, Thanos Dailianis, Jacques Lagnel, Adriani Pantazidou, Antonios Magoulas, Georgios Kotoulas
Publikováno v:
Biodiversity Data Journal, Vol 12, Iss , Pp 1-16 (2024)
This paper describes a dataset of microbial communities from four different sponge species: Ircinia oros (Schmidt, 1864), Ircinia variabilis (Schmidt, 1862), Sarcotragus spinosulus Schmidt, 1862 and Sarcotragus fasciculatus (Pallas, 1766). The examin
Externí odkaz:
https://doaj.org/article/ae51022e9d6f4a7abf8780082bdfbcf7
The paper introduces a new dataset to assess the performance of machine learning algorithms in the prediction of the seriousness of injury in a traffic accident. The dataset is created by aggregating publicly available datasets from the UK Department
Externí odkaz:
http://arxiv.org/abs/2205.10441
Publikováno v:
iScience, Vol 27, Iss 6, Pp 110062- (2024)
Summary: As a research infrastructure with a mission to provide services for bioinformatics, ELIXIR aims to identify and inform its target audiences. Here, we present a survey on a community of researchers studying the environment with omics approach
Externí odkaz:
https://doaj.org/article/26a3d82cc946415abb289e607ab74584
Autor:
Thorpe, Erin, Williams, Taylor, Shaw, Chad, Chekalin, Evgenii, Ortega, Julia, Robinson, Keisha, Button, Jason, Jones, Marilyn C., Campo, Miguel del, Basel, Donald, McCarrier, Julie, Keppen, Laura Davis, Royer, Erin, Foster-Bonds, Romina, Duenas-Roque, Milagros M., Urraca, Nora, Bosfield, Kerri, Brown, Chester W., Lydigsen, Holly, Mroczkowski, Henry J., Ward, Jewell, Sirchia, Fabio, Giorgio, Elisa, Vaux, Keith, Salguero, Hildegard Peña, Lumaka, Aimé, Mubungu, Gerrye, Makay, Prince, Ngole, Mamy, Lukusa, Prosper Tshilobo, Vanderver, Adeline, Muirhead, Kayla, Sherbini, Omar, Lah, Melissa D., Anderson, Katelynn, Bazalar-Montoya, Jeny, Rodriguez, Richard S., Cornejo-Olivas, Mario, Milla-Neyra, Karina, Shinawi, Marwan, Magoulas, Pilar, Henry, Duncan, Gibson, Kate, Wiafe, Samuel, Jayakar, Parul, Salyakina, Daria, Masser-Frye, Diane, Serize, Arturo, Perez, Jorge E., Taylor, Alan, Shenbagam, Shruti, Abou Tayoun, Ahmad, Malhotra, Alka, Bennett, Maren, Rajan, Vani, Avecilla, James, Warren, Andrew, Arseneault, Max, Kalista, Tasha, Crawford, Ali, Ajay, Subramanian S., Perry, Denise L., Belmont, John, Taft, Ryan J.
Publikováno v:
In The American Journal of Human Genetics 11 July 2024 111(7):1271-1281
When the number of strongly correlated electrons becomes larger, the single-reference coupled-cluster (CC) CCSD, CCSDT, etc. hierarchy displays an erratic behavior, while traditional multi-reference approaches may no longer be applicable due to enorm
Externí odkaz:
http://arxiv.org/abs/2111.13787
Autor:
Gioti, Anastasia, Theodosopoulou, Danai, Bravakos, Panos, Magoulas, Antonios, Kotoulas, Georgios
Publikováno v:
In iScience 21 June 2024 27(6)