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Quantum error-correction is a prerequisite for reliable quantum computation.
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A fast quantum mechanical algorithm for database search
L. K. Grover · 1996
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A. Y. Kitaev · 1997
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A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem
E. Farhi, J. Goldstone, S. Gutmann, J. Lapan, A. Lundgren, and D. Preda · 2001
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A. Y. Y. Kitaev · 2003
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S. Bravyi and A. Kitaev · 2005
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Approaching unit visibility for control of a superconducting qubit with dispersive readout
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S. Bravyi and J. Haah · 2012
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Surface codes: Towards practical large-scale quantum computation
A. G. Fowler, M. Mariantoni, J. M. Martinis, and A. N. Cleland · 2012
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Optimal complexity correction of correlated errors in the surface code
A. G. Fowler · 2013
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Understanding the effects of leakage in superconducting quantum-error-detection circuits
J. Ghosh, A. G. Fowler, J. M. Martinis, and M. R. Geller · 2013
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Efficient algorithms for maximum likelihood decoding in the surface code
S. Bravyi, M. Suchara, and A. Vargo · 2014
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Fast accurate state measurement with superconducting qubits
E. Jeffrey, D. Sank, J. Y. Mutus, T. C. White, J. Kelly, R. Barends, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, A. Megrant, P. J. J. O’Malley, C. Neill, P. Roushan, A. Vainsencher, J. Wenner, A. N. Cleland, and J. M. Martinis · 2014
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Fast, Accurate State Measurement in Superconducting Qubits
T. Sank · 2014
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Quantum error correction in a solid-state hybrid spin register
G. Waldherr, Y. Wang, S. Zaiser, M. Jamali, T. Schulte-Herbrüggen, H. Abe, T. Ohshima, J. Isoya, J. Du, P. Neumann, and J. Wratchup · 2014
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Leakage suppression in the toric code
M. Suchara, A. W. Cross, and J. M. Gambetta · 2015
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Quantum error correction for quantum memories
B. M. Terhal · 2015
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Scalable in situ qubit calibration during repetitive error detection
J. Kelly, R. Barends, A. G. Fowler, A. Megrant, E. Jeffrey, T. C. White, D. Sank, J. Y. Mutus, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, E. Lucero, M. Neeley, C. Neill, P. J. J. O’Malley, C. Quintana, P. Roushan, A. Vainsencher, J. Wenner, and J. M. Martinis · 2016
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Measurement-induced state transitions in a superconducting qubit: Beyond the rotating wave approximation
D. Sank, Z. Chen, M. Khezri, J. Kelly, R. Barends, B. Campbell, Y. Chen, B. Chiaro, A. Dunsworth, A. Fowler, E. Jeffrey, E. Lucero, A. Megrant, J. Mutus, M. Neeley, C. Neill, P. J. J. O’Malley, C. Quintana, P. Roushan, A. Vainsencher, T. White, J. Wenner, A. N. Korotkov, and J. M. Martinis · 2016
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Roads towards fault-tolerant universal quantum computation
E. T. Campbell, B. M. Terhal, and C. Vuillot · 2017
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Deep neural network probabilistic decoder for stabilizer codes
S. Krastanov and L. Jiang · 2017
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Density-matrix simulation of small surface codes under current and projected experimental noise
T. E. O’Brien, B. Tarasinski, and L. DiCarlo · 2017
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Neural decoder for topological codes
G. Torlai and R. G. Melko · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
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Scalable quantum circuit and control for a superconducting surface code
R. Versluis, S. Poletto, N. Khammassi, B. Tarasinski, N. Haider, D. J. Michalak, A. Bruno, K. Bertels, and L. DiCarlo · 2017
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Low-depth quantum simulation of materials
R. Babbush, N. Wiebe, J. McClean, J. McClain, H. Neven, and G. K.-L. Chan · 2018
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Machine-learning-assisted correction of correlated qubit errors in a topological code
P. Baireuther, T. E. O’Brien, B. Tarasinski, and C. W. J. Beenakker · 2018
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Deep neural decoders for near term fault-tolerant experiments
C. Chamberland and P. Ronagh · 2018
Highly accurate protein structure prediction with AlphaFold
J. Jumper, R. Evans, A. Pritzel, T. Green, M. Figurnov, O. Ronneberger, K. Tunyasuvunakool, R. Bates, A. Žídek, A. Potapenko, A. Bridgland, C. Meyer, S. A. A. Kohl, A. J. Ballard, A. Cowie, B. Romera-Paredes, S. Nikolov, R. Jain, J. Adler, T. Back, S. Petersen, D. Reiman, E. Clancy, M. Zielinski, M. Steinegger, M. Pacholska, T. Berghammer, S. Bodenstein, D. Silver, O. Vinyals, A. W. Senior, K. Kavukcuoglu, P. Kohli, and D. Hassabis · 2021
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Quantum teleportation of physical qubits into logical code spaces
Y.-H. Luo, M.-C. Chen, M. Erhard, H.-S. Zhong, D. Wu, H.-Y. Tang, Q. Zhao, X.-L. Wang, K. Fujii, L. Li, N.-L. Liu, K. Nemoto, W. J. Munro, C.-Y. Lu, A. Zeilinger, and J.-W. Pan · 2021
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Removing leakage-induced correlated errors in superconducting quantum error correction
M. McEwen, D. Kafri, Z. Chen, J. Atalaya, K. J. Satzinger, C. Quintana, P. V. Klimov, D. Sank, C. Gidney, A. G. 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, T. Huang, S. Hong, E. Jeffrey, S. 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. C. White, J. Yao, P. Yeh, A. Zalcman, Y. Chen, V. N. Smelyanskiy, J. M. Martinis, H. Neven, J. Kelly, A. N. Korotkov, A. G. Petukhov, and R. Barends · 2021
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Degenerate quantum ldpc codes with good finite length performance
P. Panteleev and G. Kalachev · 2021
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Fast quantum logic gates with trapped-ion qubits
V. M. Schäfer, C. J. Ballance, K. Thirumalai, L. J. Stephenson, T. G. Ballance, A. M. Steane, and D. M. Lucas · 2018
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Quantum error correction for the toric code using deep reinforcement learning
P. Andreasson, J. Johansson, S. Liljestrand, and M. Granath · 2019
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Neural network decoder for topological color codes with circuit level noise
P. Baireuther, M. D. Caio, B. Criger, C. W. J. Beenakker, and T. E. O’Brien · 2019
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Quantum supremacy using a programmable superconducting processor
Google Quantum AI · 2019
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Neural belief-propagation decoders for quantum error-correcting codes
Y.-H. Liu and D. Poulin · 2019
Cited alongside, same era.
Advantages of versatile neural-network decoding for topological codes
N. Maskara, A. Kubica, and T. Jochym-O’Connor · 2019
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Improved quantum error correction using soft information
C. A. Pattison, M. E. Beverland, M. P. da Silva, and N. Delfosse · 2021
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Realization of Real-Time Fault-Tolerant quantum error correction
C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, D. Francois, A. Chernoguzov, D. Lucchetti, N. C. Brown, T. M. Gatterman, S. K. Halit, K. Gilmore, J. A. Gerber, B. Neyenhuis, D. Hayes, and R. P. Stutz · 2021
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Realization of Real-Time Fault-Tolerant quantum error correction
C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, D. Francois, A. Chernoguzov, D. Lucchetti, N. C. Brown, T. M. Gatterman, S. K. Halit, K. Gilmore, J. A. Gerber, B. Neyenhuis, D. Hayes, and R. P. Stutz · 2021
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Data for ”suppressing quantum errors by scaling a surface code logical qubit”
Google Quantum AI Team · 2022
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Fragile boundaries of tailored surface codes
O. Higgott, T. C. Bohdanowicz, A. Kubica, S. T. Flammia, and E. T. Campbell · 2022
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Quantum advantage in learning from experiments
H.-Y. Huang, M. Broughton, J. Cotler, S. Chen, J. Li, M. Mohseni, H. Neven, R. Babbush, R. Kueng, J. Preskill, et al · 2022
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Realizing repeated quantum error correction in a distance-three surface code
S. Krinner, N. Lacroix, A. Remm, A. Di Paolo, E. Genois, C. Leroux, C. Hellings, S. Lazar, F. Swiadek, J. Herrmann, G. J. Norris, C. K. Andersen, M. Müller, A. Blais, C. Eichler, and A. Wallraff · 2022
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Decoding surface codes with deep reinforcement learning and probabilistic policy reuse
E. S. Matekole, E. Ye, R. Iyer, and S. Y.-C. Chen · 2022
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Scalable neural decoder for topological surface codes
K. Meinerz, C.-Y. Park, and S. Trebst · 2022
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Neural-network decoders for quantum error correction using surface codes: A space exploration of the hardware cost-performance tradeoffs
R. W. Overwater, M. Babaie, and F. Sebastiano · 2022
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Reverend bayes on inference engines: A distributed hierarchical approach
J. Pearl · 2022
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Parallel window decoding enables scalable fault tolerant quantum computation
L. Skoric, D. E. Browne, K. M. Barnes, N. I. Gillespie, and E. T. Campbell · 2022
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N. Sundaresan, T. J. Yoder, Y. Kim, M. Li, E. H. Chen, G. Harper, T. Thorbeck, A. W. Cross, A. D. Córcoles, and M. Takita · 2022
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Scalable surface code decoders with parallelization in time
X. Tan, F. Zhang, R. Chao, Y. Shi, and J. Chen · 2022
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Suppression of crosstalk in superconducting qubits using dynamical decoupling
V. Tripathi, H. Chen, M. Khezri, K.-W. Yip, E. M. Levenson-Falk, and D. A. Lidar · 2022
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Realization of an Error-Correcting surface code with superconducting qubits
Y. Zhao, Y. Ye, H.-L. Huang, Y. Zhang, D. Wu, H. Guan, Q. Zhu, Z. Wei, T. He, S. Cao, F. Chen, T.-H. Chung, H. Deng, D. Fan, M. Gong, C. Guo, S. Guo, L. Han, N. Li, S. Li, Y. Li, F. Liang, J. Lin, H. Qian, H. Rong, H. Su, L. Sun, S. Wang, Y. Wu, Y. Xu, C. Ying, J. Yu, C. Zha, K. Zhang, Y.-H. Huo, C.-Y. Lu, C.-Z. Peng, X. Zhu, and J.-W. Pan · 2022
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qecgpt: decoding quantum error-correcting codes with generative pre-trained transformers
H. Cao, F. Pan, Y. Wang, and P. Zhang · 2023
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Symbolic discovery of optimization algorithms, 2023
X. Chen, C. Liang, D. Huang, E. Real, K. Wang, Y. Liu, H. Pham, X. Dong, T. Luong, C.-J. Hsieh, Y. Lu, and Q. V. Le · 2023
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Y. Choukroun and L. Wolf · 2023
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The END: An equivariant neural decoder for quantum error correction
E. Egorov, R. Bondesan, and M. Welling · 2023
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Suppressing quantum errors by scaling a surface code logical qubit
Google Quantum AI · 2023
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Encoding a magic state with beyond break-even fidelity
R. S. Gupta, N. Sundaresan, T. Alexander, C. J. Wood, S. T. Merkel, M. B. Healy, M. Hillenbrand, T. Jochym-O’Connor, J. R. Wootton, T. J. Yoder, A. W. Cross, M. Takita, and B. J. Brown · 2023
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Sparse blossom: correcting a million errors per core second with minimum-weight matching
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Data-driven decoding of quantum error correcting codes using graph neural networks
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Scalable quantum error correction for surface codes using FPGA
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Hierarchical memories: Simulating quantum LDPC codes with local gates
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Fault-tolerant quantum simulation of materials using bloch orbitals
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Real-time quantum error correction beyond break-even
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