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The current practice of manually tuning quantum dots (QDs) for qubit operation is a relatively time-consuming procedure that is inherently impractical for scaling up and applications.
A simplex method for function minimization
J. A. Nelder and R. Mead · 1965
Earlier work this paper cites.
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Coherent Manipulation of Coupled Electron Spins in Semiconductor Quantum Dots
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Quantum-dot-based resonant exchange qubit
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An addressable quantum dot qubit with fault-tolerant control-fidelity
M. Veldhorst, J. C. C. Hwang, C. H. Yang, A. W. Leenstra, B. de Ronde, J. P. Dehollain, J. T. Muhonen, F. E. Hudson, K. M. Itoh, A. Morello, and A. S. Dzurak · 2014
Earlier work this paper cites.
Electrical control of a long-lived spin qubit in a Si/SiGe quantum dot
E. Kawakami, P. Scarlino, D. R. Ward, F. R. Braakman, D. E. Savage, M. G. Lagally, M. Friesen, S. N. Coppersmith, M. A. Eriksson, and L. M. K. Vandersypen · 2014
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D. P. Kingma and J. Ba · 2014
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D. Kim, D. R. Ward, C. B. Simmons, D. E. Savage, M. G. Lagally, M. Friesen, S. N. Coppersmith, and M. A. Eriksson · 2015
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A two-qubit logic gate in silicon
M. Veldhorst, C. H. Yang, J. C. C. Hwang, W. Huang, J. P. Dehollain, J. T. Muhonen, S. Simmons, A. Laucht, F. E. Hudson, K. M. Itoh, A. Morello, and A. S. Dzurak · 2015
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A reconfigurable gate architecture for Si/SiGe quantum dots
D. M. Zajac, T. M. Hazard, X. Mi, K. Wang, and J. R. Petta · 2015
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Tuning methods for semiconductor spin qubits
T. Botzem, M. D. Shulman, S. Foletti, S. P. Harvey, O. E. Dial, P. Bethke, P. Cerfontaine, R. P. G. McNeil, D. Mahalu, V. Umansky, A. Ludwig, A. Wieck, D. Schuh, D. Bougeard, A. Yacoby, and H. Bluhm · 2018
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Automated tuning of inter-dot tunnel coupling in double quantum dots
C. J. van Diepen, P. T. Eendebak, B. T. Buijtendorp, U. Mukhopadhyay, T. Fujita, C. Reichl, W. Wegscheider, and L. M. K. Vandersypen · 2018
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Quantum dot data for machine learning
National Institute of Standards and Technology · 2018
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QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments
J. P. Zwolak, S. S. Kalantre, X. Wu, S. Ragole, and J. M. Taylor · 2018
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Qflow lite, 2018
QFlow Team · 2018
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A machine learning approach for automated fine-tuning of semiconductor spin qubits
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Scalable Gate Architecture for a One-Dimensional Array of Semiconductor Spin Qubits
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Computer-automated tuning of semiconductor double quantum dots into the single-electron regime
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A quantum-dot spin qubit with coherence limited by charge noise and fidelity higher than 99.9 %
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Resonantly driven CNOT gate for electron spins
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A programmable two-qubit quantum processor in silicon
T. F. Watson, S. G. J. Philips, E. Kawakami, D. R. Ward, P. Scarlino, M. Veldhorst, D. E. Savage, M. G. Lagally, Mark Friesen, S. N. Coppersmith, M. A. Eriksson, and L. M. K. Vandersypen · 2018
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A 2 × \times 2 quantum dot array with controllable inter-dot tunnel couplings
U. Mukhopadhyay, J. P. Dehollain, Ch. Reichl, W. Wegscheider, and L. M. K. Vandersypen · 2018
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