Machine learning techniques for state recognition and auto-tuning in quantum dots
暂无分享,去创建一个
Jacob M. Taylor | Justyna P. Zwolak | Sandesh S. Kalantre | Xingyao Wu | Neil M. Zimmerman | Stephen Ragole | M. D. Stewart | Jacob M. Taylor | N. Zimmerman | Xingyao Wu | M. Stewart | S. Ragole | Stephen Ragole
[1] Dieter Schuh,et al. Tuning Methods for Semiconductor Spin Qubits , 2018, Physical Review Applied.
[2] Jonas Helsen,et al. A crossbar network for silicon quantum dot qubits , 2017, Science Advances.
[3] H Neven,et al. A blueprint for demonstrating quantum supremacy with superconducting qubits , 2017, Science.
[4] D. E. Savage,et al. A programmable two-qubit quantum processor in silicon , 2017, Nature.
[5] B. Hensen,et al. Integrated silicon qubit platform with single-spin addressability, exchange control and single-shot singlet-triplet readout , 2017, Nature Communications.
[6] Andrew S. Dzurak,et al. Logical Qubit in a Linear Array of Semiconductor Quantum Dots , 2016, Physical Review X.
[7] Charu C. Aggarwal,et al. Neural Networks and Deep Learning , 2018, Springer International Publishing.
[8] C. Felser,et al. Effect of Pt substitution on the magnetocrystalline anisotropy of Ni2MnGa: A competition between chemistry and elasticity , 2017 .
[9] M. Lukin,et al. Probing many-body dynamics on a 51-atom quantum simulator , 2017, Nature.
[10] W. Spakman,et al. Pacific plate motion change caused the Hawaiian-Emperor Bend , 2017, Nature Communications.
[11] F. Schmidt-Kaler,et al. Assessing the progress of trapped-ion processors towards fault-tolerant quantum computation , 2017, 1705.02771.
[12] Charles M. Marcus,et al. Symmetric Operation of the Resonant Exchange Qubit , 2017, 1704.01298.
[13] M. Freedman,et al. Scalable designs for quasiparticle-poisoning-protected topological quantum computation with Majorana zero modes , 2016, 1610.05289.
[14]
C. Felser,et al.
Strong anisotropic anomalous Hall effect and spin Hall effect in the chiral antiferromagnetic compounds
[16] Gerhard Klimeck,et al. Silicon quantum processor with robust long-distance qubit couplings , 2015, Nature Communications.
[17] Eyob A. Sete,et al. A functional architecture for scalable quantum computing , 2016, 2016 IEEE International Conference on Rebooting Computing (ICRC).
[18] Saeed Fallahi,et al. High-fidelity entangling gate for double-quantum-dot spin qubits , 2016, 1608.04258.
[19] J. R. Petta,et al. Scalable gate architecture for a one-dimensional array of semiconductor spin qubits , 2016, 1607.07025.
[20] M. Sawicki,et al. Determining Curie temperature of (Ga,Mn)As samples based on electrical transport measurements: Low Curie temperature case , 2016, 1606.05132.
[21] M. Saffman. Quantum computing with atomic qubits and Rydberg interactions: progress and challenges , 2016, 1605.05207.
[22] C. Greene,et al. Mapping trilobite state signatures in atomic hydrogen , 2016, 1603.02990.
[23] P. T. Eendebak,et al. Computer-automated tuning of semiconductor double quantum dots into the single-electron regime , 2016, 1603.02274.
[24] C. Monroe,et al. Co-designing a scalable quantum computer with trapped atomic ions , 2016, npj Quantum Information.
[25] J. G. Contreras,et al. Centrality Dependence of the Charged-Particle Multiplicity Density at Midrapidity in Pb-Pb Collisions at sqrt[s_{NN}]=5.02 TeV. , 2015, Physical review letters.
[26] S T Merkel,et al. Supplemental Materials : Reduced sensitivity to charge noise in semiconductor spin qubits via symmetric operation , 2016 .
[27] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[28] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[29] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Liping Gao,et al. The long-term maintenance of a resistance polymorphism through diffuse interactions , 2014, Nature.
[31] M. Manfra,et al. Full control of quadruple quantum dot circuit charge states in the single electron regime , 2014, 1404.6047.
[32] S. Altendorf,et al. Growth and characterization of Sc-doped EuO thin films , 2014 .
[33] F. Schmidt-Kaler,et al. Controlling the transport of an ion: classical and quantum mechanical solutions , 2013, 1312.4156.
[34] Giorgio Fagiolo,et al. Enhanced network reconstruction from irreducible local information , 2013, ArXiv.
[35] F. Leupold,et al. Quantum control of the motional states of trapped ions through fast switching of trapping potentials , 2012, 1208.3986.
[36] N. Zimmerman,et al. Fabrication and Electrical Characterization of Fully CMOS-Compatible Si Single-Electron Devices , 2012, IEEE Transactions on Electron Devices.
[37] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[38] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[39] F. Schmidt-Kaler,et al. Sideband cooling and coherent dynamics in a microchip multi-segmented ion trap , 2007, 0712.3249.
[40] D. Janzing,et al. A single-shot measurement of the energy of product states in a translation invariant spin chain can replace any quantum computation , 2007, 0710.1615.
[41] Time-resolved ellipticity gating of high-order harmonic emission , 2004 .
[42] Yasuo Takahashi,et al. Current quantization due to single-electron transfer in Si-wire charge-coupled devices , 2004 .
[43] S. Girvin,et al. Cavity quantum electrodynamics for superconducting electrical circuits: An architecture for quantum computation , 2004, cond-mat/0402216.
[44] S. Tarucha,et al. Electron transport through double quantum dots , 2002, cond-mat/0205350.
[45] M. J. D. Powell,et al. Direct search algorithms for optimization calculations , 1998, Acta Numerica.
[46] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[47] E. Merzbacher,et al. Quantum Mechanics, 3rd Edition , 1997 .
[48] N. H. March,et al. Theory of the inhomogeneous electron gas , 1983 .
[49] J. Linnett,et al. Quantum mechanics , 1975, Nature.