Results 11 to 20 of about 5,389,818 (356)

A Simple Recipe for Multilingual Grammatical Error Correction [PDF]

Annual Meeting of the Association for Computational Linguistics, 2021
This paper presents a simple recipe to trainstate-of-the-art multilingual Grammatical Error Correction (GEC) models. We achieve this by first proposing a language-agnostic method to generate a large number of synthetic examples.
S. Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause, A. Severyn   +4 more
semanticscholar   +1 more source

Demonstrating multi-round subsystem quantum error correction using matching and maximum likelihood decoders [PDF]

Nature Communications, 2022
Quantum error correction offers a promising path for performing high fidelity quantum computations. Although fully fault-tolerant executions of algorithms remain unrealized, recent improvements in control electronics and quantum hardware enable ...
N. Sundaresan, Theodore J. Yoder, Youngseok Kim, Muyuan Li, Edward H. Chen, G. Harper, T. Thorbeck, Andrew W. Cross, A. C'orcoles, M. Takita   +9 more
semanticscholar   +1 more source

Quantum error-correction using humming sparrow optimization based self-adaptive deep cnn noise correction module [PDF]

Scientific Reports
The error correction model’s main purpose in heavy hexagonal quantum codes is to improve their reliability for quantum computing applications. Existing challenges include finding the optimal decoder for quantum error correction in heavy hexagonal codes ...
Umesh Uttamrao Shinde, Ravikumar Bandaru
doaj   +2 more sources

Quantum error correction with silicon spin qubits [PDF]

Nature, 2022
Future large-scale quantum computers will rely on quantum error correction (QEC) to protect the fragile quantum information during computation1,2. Among the possible candidate platforms for realizing quantum computing devices, the compatibility with ...
K. Takeda, A. Noiri, T. Nakajima, Takashi Kobayashi, S. Tarucha   +4 more
semanticscholar   +1 more source

Exponential suppression of bit or phase errors with cyclic error correction [PDF]

Nature, 2021
Realizing the potential of quantum computing requires sufficiently low logical error rates1. Many applications call for error rates as low as 10−15 (refs.
Zijun Chen, K. Satzinger, J. Atalaya, A. Korotkov, A. Dunsworth, D. Sank, C. Quintana, M. McEwen, R. Barends, P. Klimov, Sabrina Hong, Cody Jones, A. Petukhov, D. Kafri, S. Demura, B. Burkett, C. Gidney, A. Fowler, A. Paler, Harald Putterman, I. Aleiner, F. Arute, K. Arya, R. Babbush, J. Bardin, A. Bengtsson, A. Bourassa, M. Broughton, B. Buckley, D. Buell, N. Bushnell, B. Chiaro, R. Collins, W. Courtney, A. Derk, D. Eppens, C. Erickson, E. Farhi, B. Foxen, M. Giustina, A. Greene, J. Gross, M. Harrigan, S. Harrington, J. Hilton, A. Ho, Trent Huang, W. Huggins, L. Ioffe, S. Isakov, E. Jeffrey, Zhang Jiang, K. Kechedzhi, Seon Kim, A. Kitaev, F. Kostritsa, D. Landhuis, P. Laptev, E. Lucero, O. Martin, J. McClean, T. McCourt, X. Mi, K. Miao, M. Mohseni, S. Montazeri, W. Mruczkiewicz, J. Mutus, O. Naaman, M. Neeley, C. Neill, M. Newman, M. Niu, T. O’Brien, A. Opremcak, E. Ostby, Bálint Pató, N. Redd, P. Roushan, N. Rubin, V. Shvarts, D. Strain, M. Szalay, M. Trevithick, B. Villalonga, T. White, Z. Yao, P. Yeh, Juhwan Yoo, Adam Zalcman, H. Neven, S. Boixo, V. Smelyanskiy, Yu Chen, A. Megrant, J. Kelly   +95 more
semanticscholar   +1 more source

Grammatical Error Correction: A Survey of the State of the Art [PDF]

Computational Linguistics, 2022
Grammatical Error Correction (GEC) is the task of automatically detecting and correcting errors in text. The task not only includes the correction of grammatical errors, such as missing prepositions and mismatched subject–verb agreement, but also ...
Christopher Bryant, Zheng Yuan, Muhammad Reza Qorib, Hannan Cao, H. Ng, Ted Briscoe   +5 more
semanticscholar   +1 more source

Overcoming leakage in quantum error correction [PDF]

Nature Physics, 2022
The leakage of quantum information out of the two computational states of a qubit into other energy states represents a major challenge for quantum error correction.
K. Miao, M. McEwen, J. Atalaya, D. Kafri, L. Pryadko, A. Bengtsson, A. Opremcak, K. Satzinger, Zijun Chen, P. Klimov, C. Quintana, R. Acharya, K. Anderson, M. Ansmann, F. Arute, K. Arya, A. Asfaw, J. Bardin, A. Bourassa, J. Bovaird, L. Brill, B. Buckley, D. Buell, T. Burger, B. Burkett, N. Bushnell, J. Campero, B. Chiaro, R. Collins, P. Conner, A. Crook, B. Curtin, D. Debroy, S. Demura, A. Dunsworth, C. Erickson, R. Fatemi, V. Ferreira, L. F. Burgos, E. Forati, A. Fowler, B. Foxen, G. Garcia, W. Giang, C. Gidney, M. Giustina, R. Gosula, A. Dau, J. Gross, Michael C. Hamilton, S. Harrington, P. Heu, J. Hilton, Michael J. Hoffmann, Sabrina Hong, Trent Huang, A. Huff, J. Iveland, E. Jeffrey, Zhang Jiang, Cody Jones, J. Kelly, Seon Kim, F. Kostritsa, J. Kreikebaum, D. Landhuis, P. Laptev, L. Laws, Kenny Lee, B. Lester, A. Lill, Wayne Liu, A. Locharla, E. Lucero, Steven M. Martin, A. Megrant, X. Mi, S. Montazeri, A. Morvan, O. Naaman, M. Neeley, C. Neill, A. Nersisyan, M. Newman, J. Ng, A. Nguyen, M. Nguyen, R. Potter, C. Rocque, P. Roushan, K. Sankaragomathi, C. Schuster, M. Shearn, A. Shorter, N. Shutty, V. Shvarts, J. Skruzny, W. C. Smith, G. Sterling, M. Szalay, D. Thor, A. Torres, T. White, B. Woo, Z. Yao, P. Yeh, Juhwan Yoo, G. Young, Adam Zalcman, N. Zhu, N. Zobrist, H. Neven, V. Smelyanskiy, A. Petukhov, A. Korotkov, D. Sank, Yu Chen   +116 more
semanticscholar   +1 more source

Error Correction Code Transformer [PDF]

Neural Information Processing Systems, 2022
Error correction code is a major part of the communication physical layer, ensuring the reliable transfer of data over noisy channels. Recently, neural decoders were shown to outperform classical decoding techniques.
Yoni Choukroun, Lior Wolf
semanticscholar   +1 more source

GECToR – Grammatical Error Correction: Tag, Not Rewrite [PDF]

Workshop on Innovative Use of NLP for Building Educational Applications, 2020
In this paper, we present a simple and efficient GEC sequence tagger using a Transformer encoder. Our system is pre-trained on synthetic data and then fine-tuned in two stages: first on errorful corpora, and second on a combination of errorful and error ...
Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem Chernodub, Oleksandr Skurzhanskyi   +3 more
semanticscholar   +1 more source

Removing leakage-induced correlated errors in superconducting quantum error correction [PDF]

Nature Communications, 2021
Quantum computing can become scalable through error correction, but logical error rates only decrease with system size when physical errors are sufficiently uncorrelated.
M. McEwen, D. Kafri, Z. Chen, J. Atalaya, K. Satzinger, C. Quintana, P. Klimov, D. Sank, C. Gidney, A. Fowler, F. Arute, K. Arya, B. Buckley, B. Burkett, N. Bushnell, B. Chiaro, R. Collins, S. Demura, A. Dunsworth, C. Erickson, B. Foxen, M. Giustina, Trent Huang, Sabrina Hong, E. Jeffrey, Seon Kim, K. Kechedzhi, F. Kostritsa, P. Laptev, A. Megrant, X. Mi, J. Mutus, O. Naaman, M. Neeley, C. Neill, M. Niu, A. Paler, N. Redd, P. Roushan, T. White, Jamie Yao, P. Yeh, Adam Zalcman, Yu Chen, V. Smelyanskiy, J. Martinis, H. Neven, J. Kelly, A. Korotkov, A. Petukhov, R. Barends   +50 more
semanticscholar   +1 more source