Suchergebnisse - coding (algorithm OR Algorithmsssics)

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

Inhaltsangabe: “… 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 von Rojas, Helder, Rojas, Nilton, B., Espinoza J., Huamanchumo, Luis

Inhaltsangabe: “… 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 von Babakhani, Arman, Barash, Lev, Hen, Itay

Inhaltsangabe: “… 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 von Pitti, Alexandre, Nakajima, Kohei, Kuniyoshi, Yasuo

Inhaltsangabe: “… 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 von Claes, Jahan

Inhaltsangabe: “… 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 von Faulkner, Michael F., Livingstone, Samuel

Inhaltsangabe: “… 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 von Jimenez, Pedro, Chacon, Luis, Merino, Mario

Inhaltsangabe: “… 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 von Pirova, Anna, Vodeneeva, Anastasia, Kovalev, Konstantin, Ustinov, Alexander, Kozinov, Evgeny, Liniov, Alexey, Volokitin, Valentin, Meyerov, Iosif

Inhaltsangabe: “… 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 von Zafari, Ali, Chen, Xi, Jalali, Shirin

Inhaltsangabe: “… 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 von 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.

Inhaltsangabe: “… 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 von Maha Alharbi, Mohammad Alshayeb

Inhaltsangabe: “… 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 von Grad, Jean-Noël, Reinauer, Alexander, Holm, Christian, Weeber, Rudolf

Inhaltsangabe: “… 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 von Baumann, Philipp, Hochbaum, Dorit S.

Inhaltsangabe: “… 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 von Greco, Antonino, Siegel, Markus

Inhaltsangabe: “… 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 von Giordano, Matteo, Wang, Sven

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

Inhaltsangabe: “… -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 von Fatemeh Daneshfar, Mohammad Javad Aghajani

Inhaltsangabe: “… 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 von Chamberland, Christopher, Olle, Jan, Li, Muyuan, Thornton, Scott, Baratta, Igor

Inhaltsangabe: “… -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 von De Sojo, Sílvia, Lucchini, Lorenzo, Langle-Chimal, Ollin D., Fraiberger, Samuel P., Alessandretti, Laura

Inhaltsangabe: “… 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 von Maistrello, Manuele, Maccary, Romain, Guidorzi, Cristiano

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