Risultati della ricerca - coding (algorithm OR (algorithmsssic OR Algorithmsssssic))

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

Sommario: “... 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 di Rojas, Helder, Rojas, Nilton, B., Espinoza J., Huamanchumo, Luis

Sommario: “... 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 di Babakhani, Arman, Barash, Lev, Hen, Itay

Sommario: “...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 di Pitti, Alexandre, Nakajima, Kohei, Kuniyoshi, Yasuo

Sommario: “... 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 di Claes, Jahan

Sommario: “... 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 di Faulkner, Michael F., Livingstone, Samuel

Sommario: “...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 di Jimenez, Pedro, Chacon, Luis, Merino, Mario

Sommario: “... 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 di Pirova, Anna, Vodeneeva, Anastasia, Kovalev, Konstantin, Ustinov, Alexander, Kozinov, Evgeny, Liniov, Alexey, Volokitin, Valentin, Meyerov, Iosif

Sommario: “... 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 di Zafari, Ali, Chen, Xi, Jalali, Shirin

Sommario: “... 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 di 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.

Sommario: “... 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 di Maha Alharbi, Mohammad Alshayeb

Sommario: “...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 di Grad, Jean-Noël, Reinauer, Alexander, Holm, Christian, Weeber, Rudolf

Sommario: “... 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 di Baumann, Philipp, Hochbaum, Dorit S.

Sommario: “... 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 di Greco, Antonino, Siegel, Markus

Sommario: “... 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 di Giordano, Matteo, Wang, Sven

Sommario: “... 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 di Cain, Madelyn, Xu, Qian, King, Robbie, Picard, Lewis R. B., Levine, Harry, Endres, Manuel, Preskill, John, Huang, Hsin-Yuan, Bluvstein, Dolev

Sommario: “...-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 di Fatemeh Daneshfar, Mohammad Javad Aghajani

Sommario: “... 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 di Chamberland, Christopher, Olle, Jan, Li, Muyuan, Thornton, Scott, Baratta, Igor

Sommario: “...-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 di De Sojo, Sílvia, Lucchini, Lorenzo, Langle-Chimal, Ollin D., Fraiberger, Samuel P., Alessandretti, Laura

Sommario: “... 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 di Maistrello, Manuele, Maccary, Romain, Guidorzi, Cristiano

Sommario: “...We present FAST-MEPSA, an optimised version of the MEPSA algorithm developed to detect peaks...”
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