Résultats de la recherche - coding (Algorithmssic OR (algorithm OR Algorithmssic))

Shell-model study of $^{58}$Ni using quantum computing algorithm par Bhoy, Bharti, Stevenson, Paul

Table des matières: “… states. We compare a classical shell model code, the values obtained by diagonalization…”
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A simple algorithm for output range analysis for deep neural networks par Rojas, Helder, Rojas, Nilton, B., Espinoza J., Huamanchumo, Luis

Table des matières: “… Networks (DNNs) by integrating a Simulated Annealing (SA) algorithm tailored to operate within constrained…”
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A quantum Monte Carlo algorithm for arbitrary high-spin Hamiltonians par Babakhani, Arman, Barash, Lev, Hen, Itay

Table des matières: “…We present a universal quantum Monte Carlo algorithm for simulating arbitrary high-spin (spin…”
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Informational Embodiment: Computational role of information structure in codes and robots par Pitti, Alexandre, Nakajima, Kohei, Kuniyoshi, Yasuo

Table des matières: “… and of algorithmic codes per se. This is known as the principle of Entropy Maximization (PEM) introduced in biology…”
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Cultivating T states on the surface code with only two-qubit gates par Claes, Jahan

Table des matières: “… to the fidelity required for quantum algorithms. Cultivation was originally proposed for the color code, but can…”
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Sampling algorithms in statistical physics: a guide for statistics and machine learning par Faulkner, Michael F., Livingstone, Samuel

Table des matières: “…We discuss several algorithms for sampling from unnormalized probability distributions…”
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An implicit, conservative electrostatic particle-in-cell algorithm for paraxial magnetic nozzles par Jimenez, Pedro, Chacon, Luis, Merino, Mario

Table des matières: “… of spurious sheaths at the edges of the domain. The algorithm is verified in a periodic magnetic mirror…”
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Performance optimization of BLAS algorithms with band matrices for RISC-V processors par Pirova, Anna, Vodeneeva, Anastasia, Kovalev, Konstantin, Ustinov, Alexander, Kozinov, Evgeny, Liniov, Alexey, Volokitin, Valentin, Meyerov, Iosif

Table des matières: “… for x86-64 onto RISC-V CPUs? Are current compilers capable of effectively optimizing C and C++ codes…”
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Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework par Zafari, Ali, Chen, Xi, Jalali, Shirin

Table des matières: “… the theoretical foundations of compression-based denoising. Our code is available at: https://github.com…”
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Scaling and logic in the color code on a superconducting quantum processor par Lacroix, Nathan, Bourassa, Alexandre, Heras, Francisco J. H., Zhang, Lei M., Bausch, Johannes, Senior, Andrew W., Edlich, Thomas, Shutty, Noah, Sivak, Volodymyr, Bengtsson, Andreas, McEwen, Matt, Higgott, Oscar, Kafri, Dvir, Claes, Jahan, Morvan, Alexis, Chen, Zijun, Zalcman, Adam, Madhuk, Sid, Acharya, Rajeev, Beni, Laleh Aghababaie, Aigeldinger, Georg, Alcaraz, Ross, Andersen, Trond I., Ansmann, Markus, Arute, Frank, Arya, Kunal, Asfaw, Abraham, Atalaya, Juan, Babbush, Ryan, Ballard, Brian, Bardin, Joseph C., Bilmes, Alexander, Blackwell, Sam, Bovaird, Jenna, Bowers, Dylan, Brill, Leon, Broughton, Michael, Browne, David A., Buchea, Brett, Buckley, Bob B., Burger, Tim, Burkett, Brian, Bushnell, Nicholas, Cabrera, Anthony, Campero, Juan, Chang, Hung-Shen, Chiaro, Ben, Chih, Liang-Ying, Cleland, Agnetta Y., Cogan, Josh, Collins, Roberto, Conner, Paul, Courtney, William, Crook, Alexander L., Curtin, Ben, Das, Sayan, Demura, Sean, De Lorenzo, Laura, Di Paolo, Agustin, Donohoe, Paul, Drozdov, Ilya, Dunsworth, Andrew, Eickbusch, Alec, Elbag, Aviv Moshe, Elzouka, Mahmoud, Erickson, Catherine, Ferreira, Vinicius S., Burgos, Leslie Flores, Forati, Ebrahim, Fowler, Austin G., Foxen, Brooks, Ganjam, Suhas, Garcia, Gonzalo, Gasca, Robert, Genois, Élie, Giang, William, Gilboa, Dar, Gosula, Raja, Dau, Alejandro Grajales, Graumann, Dietrich, Greene, Alex, Gross, Jonathan A., Ha, Tan, Habegger, Steve, Hansen, Monica, Harrigan, Matthew P., Harrington, Sean D., Heslin, Stephen, Heu, Paula, Hiltermann, Reno, Hilton, Jeremy, Hong, Sabrina, Huang, Hsin-Yuan, Huff, Ashley, Huggins, William J., Jeffrey, Evan, Jiang, Zhang, Jin, Xiaoxuan, Joshi, Chaitali, Juhas, Pavol, Kabel, Andreas, Kang, Hui, Karamlou, Amir H., Kechedzhi, Kostyantyn, Khaire, Trupti, Khattar, Tanuj, Khezri, Mostafa, Kim, Seon, Klimov, Paul V., Kobrin, Bryce, Korotkov, Alexander N., Kostritsa, Fedor, Kreikebaum, John Mark, Kurilovich, Vladislav D., Landhuis, David, Lange-Dei, Tiano, Langley, Brandon W., Laptev, Pavel, Lau, Kim-Ming, Ledford, Justin, Lee, Kenny, Lester, Brian J., Guevel, Loïck Le, Li, Wing Yan, Li, Yin, Lill, Alexander T., Livingston, William P., Locharla, Aditya, Lucero, Erik, Lundahl, Daniel, Lunt, Aaron, Maloney, Ashley, Mandrà, Salvatore, Martin, Leigh S., Martin, Orion, Maxfield, Cameron, McClean, Jarrod R., Meeks, Seneca, Megrant, Anthony, Miao, Kevin C., Molavi, Reza, Molina, Sebastian, Montazeri, Shirin, Movassagh, Ramis, Neill, Charles, Newman, Michael, Nguyen, Anthony, Nguyen, Murray, Ni, Chia-Hung, Niu, Murphy Y., Oas, Logan, Oliver, William D., Orosco, Raymond, Ottosson, Kristoffer, Pizzuto, Alex, Potter, Rebecca, Pritchard, Orion, Quintana, Chris, Ramachandran, Ganesh, Reagor, Matthew J., Resnick, Rachel, Rhodes, David M., Roberts, Gabrielle, Rosenberg, Eliott, Rosenfeld, Emma, Rossi, Elizabeth, Roushan, Pedram, Sankaragomathi, Kannan, Schurkus, Henry F., Shearn, Michael J., Shorter, Aaron, Shvarts, Vladimir, Small, Spencer, Smith, W. Clarke, Springer, Sofia, Sterling, George, Suchard, Jordan, Szasz, Aaron, Sztein, Alex, Thor, Douglas, Tomita, Eifu, Torres, Alfredo, Torunbalci, M. Mert, Vaishnav, Abeer, Vargas, Justin, Vdovichev, Sergey, Vidal, Guifre, Heidweiller, Catherine Vollgraff, Waltman, Steven, Waltz, Jonathan, Wang, Shannon X., Ware, Brayden, Weidel, Travis, White, Theodore, Wong, Kristi, Woo, Bryan W. K., Woodson, Maddy, Xing, Cheng, Yao, Z. Jamie, Yeh, Ping, Ying, Bicheng, Yoo, Juhwan, Yosri, Noureldin, Young, Grayson, Zhang, Yaxing, Zhu, Ningfeng, Zobrist, Nicholas, Neven, Hartmut, Kohli, Pushmeet, Davies, Alex, Boixo, Sergio, Kelly, Julian, Jones, Cody, Gidney, Craig, Satzinger, Kevin J.

Table des matières: “… devices and the extremely low logical error rates required for quantum algorithms. Recent error-correction…”
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An empirical investigation of the relationship between pattern grime and code smells par Maha Alharbi, Mohammad Alshayeb

Table des matières: “…An empirical investigation of the relationship between pattern grime and code smells Maha Alharbi…”
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Pathway to exascale: experiences in adopting more scalable algorithms in ESPResSo par Grad, Jean-Noël, Reinauer, Alexander, Holm, Christian, Weeber, Rudolf

Table des matières: “… particle-based methods and grid-based methods. These algorithms have hardware-dependent performance…”
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An algorithm for clustering with confidence-based must-link and cannot-link constraints par Baumann, Philipp, Hochbaum, Dorit S.

Table des matières: “… of runtime and various metrics of solution quality. The code of the PCCC algorithm is publicly available…”
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A spatiotemporal style transfer algorithm for dynamic visual stimulus generation par Greco, Antonino, Siegel, Markus

Table des matières: “… of predictive coding deep networks. These results showcase potential applications of our algorithm as a…”
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Statistical algorithms for low-frequency diffusion data: A PDE approach par Giordano, Matteo, Wang, Sven

Table des matières: “… implementation of a large class of popular statistical algorithms, including (i) preconditioned Crank-Nicolson…”
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Shor's algorithm is possible with as few as 10,000 reconfigurable atomic qubits par Cain, Madelyn, Xu, Qian, King, Robbie, Picard, Lewis R. B., Levine, Harry, Endres, Manuel, Preskill, John, Huang, Hsin-Yuan, Bluvstein, Dolev

Table des matières: “…-correcting codes, efficient logical instruction sets, and circuit design, we show that Shor's algorithm can…”
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Enhanced text classification through an improved discrete laying chicken algorithm par Fatemeh Daneshfar, Mohammad Javad Aghajani

Table des matières: “… of the proposed algorithm in comparison to the existing one. The code is available at https://github.com/m0javad…”
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Fast and accurate AI-based pre-decoders for surface codes par Chamberland, Christopher, Olle, Jan, Li, Muyuan, Thornton, Scott, Baratta, Igor

Table des matières: “…-decoder for the surface code that performs local, parallel error correction with low decoding runtimes…”
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HoWDe: a validated algorithm for Home and Work location Detection par De Sojo, Sílvia, Lucchini, Lorenzo, Langle-Chimal, Ollin D., Fraiberger, Samuel P., Alessandretti, Laura

Table des matières: “… rates, and differences in data sparsity across individuals. The code allows users to tune a small set…”
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FAST-MEPSA: an optimised and faster version of peak detection algorithm MEPSA par Maistrello, Manuele, Maccary, Romain, Guidorzi, Cristiano

Table des matières: “…We present FAST-MEPSA, an optimised version of the MEPSA algorithm developed to detect peaks…”
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