暂无分享,去创建一个
Amir Khoshaman | Walter Vinci | Mohammad H. Amin | Evgeny Andriyash | Lorenzo Buffoni | Hossein Sadeghi | E. Andriyash | Hossein Sadeghi | L. Buffoni | Amir Khoshaman | Mohammad H. Amin | Walter Winci
[1] Jacob biamonte,et al. Quantum machine learning , 2016, Nature.
[2] Kevin Barraclough,et al. I and i , 2001, BMJ : British Medical Journal.
[3] Chong Wang,et al. Stochastic variational inference , 2012, J. Mach. Learn. Res..
[4] Daniel A. Lidar,et al. Solving a Higgs optimization problem with quantum annealing for machine learning , 2017, Nature.
[5] Rob Thew,et al. Quantum Science and Technology—one year on , 2018 .
[6] Daniel A. Lidar,et al. Adiabaticity in open quantum systems , 2007, 1508.05558.
[7] M. W. Johnson,et al. Quantum annealing with manufactured spins , 2011, Nature.
[8] Mark W. Johnson,et al. Observation of topological phenomena in a programmable lattice of 1,800 qubits , 2018, Nature.
[9] R. Car,et al. Theory of Quantum Annealing of an Ising Spin Glass , 2002, Science.
[10] Xu Li-ping,et al. Quantum Information Processing in Quantum Wires , 2004 .
[12] M. Benedetti,et al. Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning , 2015, 1510.07611.
[13] Andrew M. Childs,et al. Quantum Algorithm for Systems of Linear Equations with Exponentially Improved Dependence on Precision , 2015, SIAM J. Comput..
[14] Eleanor G. Rieffel,et al. Thermalization, Freeze-out, and Noise: Deciphering Experimental Quantum Annealers , 2017, 1703.03902.
[15] Peter Wittek,et al. Quantum Machine Learning: What Quantum Computing Means to Data Mining , 2014 .
[16] Alán Aspuru-Guzik,et al. A variational eigenvalue solver on a photonic quantum processor , 2013, Nature Communications.
[17] Vicky Choi,et al. Minor-embedding in adiabatic quantum computation: II. Minor-universal graph design , 2010, Quantum Inf. Process..
[18] S. Lloyd,et al. Quantum principal component analysis , 2013, Nature Physics.
[19] Rupak Biswas,et al. Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers , 2017, Quantum Science and Technology.
[20] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[21] H Neven,et al. A blueprint for demonstrating quantum supremacy with superconducting qubits , 2017, Science.
[22] J. Gambetta,et al. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets , 2017, Nature.
[23] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[24] M. W. Johnson,et al. Phase transitions in a programmable quantum spin glass simulator , 2018, Science.
[25] M. Amin. Searching for quantum speedup in quasistatic quantum annealers , 2015, 1503.04216.
[26] I. Hen,et al. Temperature Scaling Law for Quantum Annealing Optimizers. , 2017, Physical review letters.
[27] H. Nishimori,et al. Quantum annealing in the transverse Ising model , 1998, cond-mat/9804280.
[28] Daniel A. Lidar,et al. Quantum adiabatic machine learning , 2011, Quantum Inf. Process..
[29] Akihisa Tomita,et al. Quantum information processing with fiber optics: Quantum Fourier transform of 1024 qubits , 2005 .
[30] Hailin Chen,et al. A Semi-Supervised Method for Drug-Target Interaction Prediction with Consistency in Networks , 2013, PloS one.
[31] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[32] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[33] A. Harrow,et al. Quantum algorithm for linear systems of equations. , 2008, Physical review letters.
[34] E. Rieffel,et al. Power of Pausing: Advancing Understanding of Thermalization in Experimental Quantum Annealers , 2018, Physical Review Applied.
[35] Roger Melko,et al. Quantum Boltzmann Machine , 2016, 1601.02036.
[36] Rupak Biswas,et al. Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models , 2016, 1609.02542.
[37] Seth Lloyd,et al. Quantum algorithm for data fitting. , 2012, Physical review letters.
[38] F. Petruccione,et al. An introduction to quantum machine learning , 2014, Contemporary Physics.
[39] M. Mariantoni,et al. Surface codes: Towards practical large-scale quantum computation , 2012, 1208.0928.
[40] Rocco A. Servedio,et al. Random classification noise defeats all convex potential boosters , 2008, ICML '08.
[41] Thierry Paul,et al. Quantum computation and quantum information , 2007, Mathematical Structures in Computer Science.
[42] E. Farhi,et al. A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem , 2001, Science.
[43] M. Paternostro,et al. Quantum-information processing with noisy cluster states (12 pages) , 2005 .
[44] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[45] Jack Raymond,et al. Global Warming: Temperature Estimation in Annealers , 2016, Front. ICT.
[46] G. Aeppli,et al. Tunable quantum tunnelling of magnetic domain walls , 2001, Nature.
[47] Todd A. Brun,et al. Quantum Error Correction , 2019, Oxford Research Encyclopedia of Physics.
[48] N. Zheludev,et al. PHYSICAL REVIEW APPLIED 11 , 064016 ( 2019 ) Far-Field Superoscillatory Metamaterial Superlens , 2019 .
[49] Daniel A. Lidar,et al. Scalable effective temperature reduction for quantum annealers via nested quantum annealing correction , 2017, 1710.07871.
[50] Bing Zhang,et al. Semi-supervised learning improves gene expression-based prediction of cancer recurrence , 2011, Bioinform..
[51] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[52] Geoffrey E. Hinton,et al. The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.
[53] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[54] Vicky Choi,et al. Minor-embedding in adiabatic quantum computation: I. The parameter setting problem , 2008, Quantum Inf. Process..