暂无分享,去创建一个
Nicolai Friis | Hans-J. Briegel | Nicolas Delfosse | Hendrik Poulsen Nautrup | Vedran Dunjko | V. Dunjko | H. Briegel | Nicolas Delfosse | N. Friis
[1] R. M. Kretchmar. Parallel Reinforcement Learning , 2002 .
[2] P. Baireuther,et al. Neural network decoder for topological color codes with circuit level noise , 2018, New Journal of Physics.
[3] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[4] M. Lukin,et al. Probing many-body dynamics on a 51-atom quantum simulator , 2017, Nature.
[5] B. Lanyon,et al. Observation of entangled states of a fully-controlled 20 qubit system , 2017, 1711.11092.
[6] Jean-Daniel Zucker,et al. Abstraction in Artificial Intelligence and Complex Systems , 2013, Springer New York.
[7] DiVincenzo,et al. Fault-Tolerant Error Correction with Efficient Quantum Codes. , 1996, Physical review letters.
[8] Justus Piater,et al. Improving Exploration of Deep Reinforcement Learning using Planning for Policy Search , 2019 .
[9] Jens Eisert,et al. Reinforcement learning decoders for fault-tolerant quantum computation , 2018, Mach. Learn. Sci. Technol..
[10] Hans-J. Briegel,et al. Meta-learning within Projective Simulation , 2016, IEEE Access.
[11] Scott Aaronson,et al. Improved Simulation of Stabilizer Circuits , 2004, ArXiv.
[12] Pooya Ronagh,et al. Deep neural decoders for near term fault-tolerant experiments , 2018, Quantum Science and Technology.
[13] Sergey Levine,et al. Guided Policy Search , 2013, ICML.
[14] Peter D. Johnson,et al. QVECTOR: an algorithm for device-tailored quantum error correction , 2017, 1711.02249.
[15] J. Preskill. Fault-tolerant quantum computation , 1997, quant-ph/9712048.
[16] Sebastian Thrun,et al. Is Learning The n-th Thing Any Easier Than Learning The First? , 1995, NIPS.
[17] C. Monroe,et al. Observation of a many-body dynamical phase transition with a 53-qubit quantum simulator , 2017, Nature.
[18] Alexander Vardy,et al. The intractability of computing the minimum distance of a code , 1997, IEEE Trans. Inf. Theory.
[19] M. A. Martin-Delgado,et al. Quantum measurements and gates by code deformation , 2007, 0704.2540.
[20] J. Britton,et al. Toward scalable ion traps for quantum information processing , 2009, 0909.2464.
[21] John M. Martinis,et al. Logic gates at the surface code threshold: Superconducting qubits poised for fault-tolerant quantum computing , 2014 .
[22] Daniel Nigg,et al. A quantum information processor with trapped ions , 2013, 1308.3096.
[23] T. Monz,et al. 14-Qubit entanglement: creation and coherence. , 2010, Physical review letters.
[24] B. Terhal. Quantum error correction for quantum memories , 2013, 1302.3428.
[25] T. Beth,et al. Codes for the quantum erasure channel , 1996, quant-ph/9610042.
[26] Thierry Paul,et al. Quantum computation and quantum information , 2007, Mathematical Structures in Computer Science.
[27] Hermann Kampermann,et al. Symmetries for a high-level neural decoder on the toric code , 2019, 1910.01662.
[28] R. Barends,et al. Superconducting quantum circuits at the surface code threshold for fault tolerance , 2014, Nature.
[29] Daniel Gottesman,et al. Stabilizer Codes and Quantum Error Correction , 1997, quant-ph/9705052.
[30] Barbara Caputo,et al. Safety in numbers: Learning categories from few examples with multi model knowledge transfer , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[31] Benjamin J. Brown,et al. Analysing correlated noise on the surface code using adaptive decoding algorithms , 2017 .
[32] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[33] John Preskill,et al. Fault-tolerant quantum computation versus Gaussian noise , 2008, 0810.4953.
[34] Hans-J. Briegel,et al. Projective Simulation for Classical Learning Agents: A Comprehensive Investigation , 2015, New Generation Computing.
[35] Nicolai Friis,et al. Fault-tolerant interface between quantum memories and quantum processors , 2016, Nature Communications.
[36] Fernando Pastawski,et al. Fault-tolerant logical gates in quantum error-correcting codes , 2014, 1408.1720.
[37] Koen Bertels,et al. Decoding surface code with a distributed neural network–based decoder , 2019, Quantum Machine Intelligence.
[38] Sergey Bravyi,et al. Classification of topologically protected gates for local stabilizer codes. , 2012, Physical review letters.
[39] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[40] Hans J. Briegel,et al. Benchmarking Projective Simulation in Navigation Problems , 2018, IEEE Access.
[41] Andrew Zisserman,et al. Tabula rasa: Model transfer for object category detection , 2011, 2011 International Conference on Computer Vision.
[42] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[43] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[44] Robert L. Kosut,et al. Quantum error correction via convex optimization , 2009, Quantum Inf. Process..
[45] Taghi M. Khoshgoftaar,et al. A survey of transfer learning , 2016, Journal of Big Data.
[46] Barbara Caputo,et al. Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[47] Michalis Skotiniotis,et al. Reinforcement learning for optimal error correction of toric codes , 2019 .
[48] Xiaotong Ni,et al. Neural Network Decoders for Large-Distance 2D Toric Codes , 2018, Quantum.
[49] A. Yacoby,et al. Demonstration of Entanglement of Electrostatically Coupled Singlet-Triplet Qubits , 2012, Science.
[50] Koen Bertels,et al. Comparing Neural Network Based Decoders for the Surface Code , 2018, IEEE Transactions on Computers.
[51] Keisuke Fujii,et al. General framework for constructing fast and near-optimal machine-learning-based decoder of the topological stabilizer codes , 2018, 1801.04377.
[52] Nicolas Delfosse,et al. Almost-linear time decoding algorithm for topological codes , 2017, Quantum.
[53] Florian Marquardt,et al. Reinforcement Learning with Neural Networks for Quantum Feedback , 2018, Physical Review X.
[54] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[55] M. Freedman,et al. Scalable designs for quasiparticle-poisoning-protected topological quantum computation with Majorana zero modes , 2016, 1610.05289.
[56] P. Baireuther,et al. Machine-learning-assisted correction of correlated qubit errors in a topological code , 2017, 1705.07855.
[57] David Poulin,et al. Neural Belief-Propagation Decoders for Quantum Error-Correcting Codes. , 2018, Physical review letters.
[58] D. Yost,et al. 3D integrated superconducting qubits , 2017, 1706.04116.
[59] Gilles Zémor,et al. Linear-Time Maximum Likelihood Decoding of Surface Codes over the Quantum Erasure Channel , 2017, Physical Review Research.
[60] Ashley Montanaro,et al. Applying quantum algorithms to constraint satisfaction problems , 2018, Quantum.
[61] Stephen D Bartlett,et al. Ultrahigh Error Threshold for Surface Codes with Biased Noise. , 2017, Physical review letters.
[62] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[63] Austin G. Fowler,et al. Quantifying the effects of local many-qubit errors and nonlocal two-qubit errors on the surface code , 2014 .
[64] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 2005, IEEE Transactions on Neural Networks.
[65] Barbara Caputo,et al. The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories , 2009, BMVC.
[66] R F Werner,et al. Iterative optimization of quantum error correcting codes. , 2005, Physical review letters.
[67] M. Mariantoni,et al. Surface codes: Towards practical large-scale quantum computation , 2012, 1208.0928.
[68] Keisuke Fujii,et al. Error and loss tolerances of surface codes with general lattice structures , 2012, 1202.2743.
[69] N. Maskara,et al. Advantages of versatile neural-network decoding for topological codes , 2018, Physical Review A.
[70] Milap Sheth,et al. Neural ensemble decoding for topological quantum error-correcting codes , 2019, Physical Review A.
[71] C. H. Bennett,et al. Capacities of Quantum Erasure Channels , 1997, quant-ph/9701015.
[72] John Preskill,et al. Fault-tolerant quantum computation with long-range correlated noise. , 2006, Physical review letters.
[73] A. Chatterjee,et al. Introduction to Quantum Computation , 2003 .
[74] Mario Krenn,et al. Active learning machine learns to create new quantum experiments , 2017, Proceedings of the National Academy of Sciences.
[75] José Miguel Hernández-Lobato,et al. Taking gradients through experiments: LSTMs and memory proximal policy optimization for black-box quantum control , 2018, ISC Workshops.
[76] Renato Renner,et al. Discovering physical concepts with neural networks , 2018, Physical review letters.
[77] Justus H. Piater,et al. Robotic playing for hierarchical complex skill learning , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[78] John Preskill,et al. Fault-tolerant computing with biased-noise superconducting qubits: a case study , 2008, 0806.0383.
[79] J. Preskill,et al. Topological quantum memory , 2001, quant-ph/0110143.
[80] Hans-J. Briegel,et al. Machine learning \& artificial intelligence in the quantum domain , 2017, ArXiv.
[81] Hans-J. Briegel,et al. Projective simulation with generalization , 2015, Scientific Reports.
[82] Liang Jiang,et al. Deep Neural Network Probabilistic Decoder for Stabilizer Codes , 2017, Scientific Reports.
[83] Joel Johansson,et al. Quantum error correction for the toric code using deep reinforcement learning , 2018, Quantum.
[84] Xiaotong Ni,et al. Scalable Neural Network Decoders for Higher Dimensional Quantum Codes , 2017, 1710.09489.
[85] Thomas G. Dietterich,et al. In Advances in Neural Information Processing Systems 12 , 1991, NIPS 1991.
[86] Lenka Zdeborová,et al. New tool in the box , 2017, Nature Physics.
[87] J. Ignacio Cirac,et al. Computational speedups using small quantum devices , 2018, Physical review letters.
[88] Giacomo Torlai,et al. Neural Decoder for Topological Codes. , 2016, Physical review letters.
[89] T. R. Tan,et al. Coherent diabatic ion transport and separation in a multizone trap array. , 2012, Physical review letters.
[90] A. Kitaev,et al. Quantum codes on a lattice with boundary , 1998, quant-ph/9811052.
[91] W. Marsden. I and J , 2012 .
[92] Ben Reichardt,et al. Fault-Tolerant Quantum Computation , 2016, Encyclopedia of Algorithms.
[93] David Poulin,et al. A linear-time benchmarking tool for generalized surface codes , 2016, ArXiv.
[94] Enda Barrett,et al. A parallel framework for Bayesian reinforcement learning , 2014, Connect. Sci..
[95] H. Briegel,et al. Fast simulation of stabilizer circuits using a graph-state representation , 2005, quant-ph/0504117.
[96] Pradeep Kiran Sarvepalli,et al. Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix , 2019, 2019 IEEE Information Theory Workshop (ITW).
[97] Hans J. Briegel,et al. Projective simulation for artificial intelligence , 2011, Scientific Reports.
[98] Koen Bertels,et al. Decoding small surface codes with feedforward neural networks , 2017, 1705.00857.
[99] R. Cleve,et al. Efficient computations of encodings for quantum error correction , 1996, quant-ph/9607030.