Leakage reduction in fast superconducting qubit gates via optimal control
暂无分享,去创建一个
S. Filipp | F. Wilhelm | D. Egger | S. Machnes | M. Werninghaus | F. Roy
[1] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[2] J. Nocedal. Updating Quasi-Newton Matrices With Limited Storage , 1980 .
[3] Burkhard Luy,et al. Pattern pulses: design of arbitrary excitation profiles as a function of pulse amplitude and offset. , 2005, Journal of magnetic resonance.
[4] Timo O. Reiss,et al. Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms. , 2005, Journal of magnetic resonance.
[5] Nikolaus Hansen,et al. The CMA Evolution Strategy: A Comparing Review , 2006, Towards a New Evolutionary Computation.
[6] W. Neuhauser,et al. Error-resistant Single Qubit Gates with Trapped Ions , 2007, 2007 European Conference on Lasers and Electro-Optics and the International Quantum Electronics Conference.
[7] V. Bergholm,et al. Optimal control of coupled Josephson qubits , 2005, quant-ph/0504202.
[8] S. Girvin,et al. Charge-insensitive qubit design derived from the Cooper pair box , 2007, cond-mat/0703002.
[9] Alexandre Blais,et al. Quantum information processing with circuit quantum electrodynamics , 2007 .
[10] N. Timoney,et al. Error-resistant Single Qubit Gates with Trapped Ions , 2007 .
[11] J M Gambetta,et al. Simple pulses for elimination of leakage in weakly nonlinear qubits. , 2009, Physical review letters.
[12] Y Zhang,et al. Singular extremals for the time-optimal control of dissipative spin 1/2 particles. , 2010, Physical review letters.
[13] Robin Blume-Kohout,et al. Gate fidelity fluctuations and quantum process invariants , 2009, 0910.1315.
[14] Joseph Emerson,et al. Scalable and robust randomized benchmarking of quantum processes. , 2010, Physical review letters.
[15] Jay M. Gambetta,et al. Characterizing Quantum Gates via Randomized Benchmarking , 2011, 1109.6887.
[16] Amr Fahmy,et al. Control aspects of quantum computing using pure and mixed states , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[17] Austin G. Fowler,et al. Coping with qubit leakage in topological codes , 2013, 1308.6642.
[18] R. Schoelkopf,et al. Superconducting Circuits for Quantum Information: An Outlook , 2013, Science.
[19] Yasunobu Nakamura,et al. Improving quantum gate fidelities by using a qubit to measure microwave pulse distortions. , 2012, Physical review letters.
[20] F. K. Wilhelm,et al. Single-qubit gates in frequency-crowded transmon systems , 2013, 1306.2279.
[21] Christiane P Koch,et al. Optimal strategies for estimating the average fidelity of quantum gates. , 2013, Physical review letters.
[22] M. Hastings,et al. Gate count estimates for performing quantum chemistry on small quantum computers , 2013, 1312.1695.
[23] D J Egger,et al. Adaptive hybrid optimal quantum control for imprecisely characterized systems. , 2014, Physical review letters.
[24] A N Cleland,et al. Optimal quantum control using randomized benchmarking. , 2014, Physical review letters.
[25] L. DiCarlo,et al. Mitigating information leakage in a crowded spectrum of weakly anharmonic qubits , 2014, 1405.0450.
[26] Christiane P. Koch,et al. Arbitrary quantum-state preparation of a harmonic oscillator via optimal control , 2014, 1406.6572.
[27] M. Hastings,et al. Progress towards practical quantum variational algorithms , 2015, 1507.08969.
[28] Frank K. Wilhelm,et al. Ju l 2 01 5 Gradient optimization of analytic controls : the route to high accuracy quantum optimal control , 2022 .
[29] Stefano Poletto,et al. Interacting two-level defects as sources of fluctuating high-frequency noise in superconducting circuits , 2015, 1503.01637.
[30] U. Boscain,et al. THE EUROPEAN PHYSICAL JOURNAL D Training Schrödinger ’ s cat : quantum optimal control Strategic report on current status , visions and goals for research in Europe , 2015 .
[31] Andrew W. Cross,et al. Leakage suppression in the toric code , 2014, 2015 IEEE International Symposium on Information Theory (ISIT).
[32] Peter Maunz,et al. Error compensation of single-qubit gates in a surface-electrode ion trap using composite pulses , 2015, 1504.01440.
[33] Christiane P. Koch,et al. Training Schrödinger’s cat: quantum optimal control , 2015, 1508.00442.
[34] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[35] J. Gambetta,et al. Procedure for systematically tuning up cross-talk in the cross-resonance gate , 2016, 1603.04821.
[36] M. A. Rol,et al. Restless Tuneup of High-Fidelity Qubit Gates , 2016, 1611.04815.
[37] Jay M. Gambetta,et al. Universal Gate for Fixed-Frequency Qubits via a Tunable Bus , 2016, 1604.03076.
[38] Zijun Chen,et al. Measuring and Suppressing Quantum State Leakage in a Superconducting Qubit. , 2015, Physical review letters.
[39] Liang Jiang,et al. Implementing a universal gate set on a logical qubit encoded in an oscillator , 2016, Nature Communications.
[40] G. Wendin. Quantum information processing with superconducting circuits: a review , 2016, Reports on progress in physics. Physical Society.
[41] Harry Buhrman,et al. The European Quantum Technologies Roadmap , 2017, 1712.03773.
[42] Stefan Filipp,et al. Analysis of a parametrically driven exchange-type gate and a two-photon excitation gate between superconducting qubits , 2017, 1708.02090.
[43] Daniel J. Egger,et al. Pulsed Reset Protocol for Fixed-Frequency Superconducting Qubits , 2018, Physical Review Applied.
[44] C. K. Andersen,et al. Rapid High-fidelity Multiplexed Readout of Superconducting Qubits , 2018, Physical Review Applied.
[45] Jay M. Gambetta,et al. Quantification and characterization of leakage errors , 2017, 1704.03081.
[46] Harry Buhrman,et al. The quantum technologies roadmap: a European community view , 2018, New Journal of Physics.
[47] D. Tannor,et al. Tunable, Flexible, and Efficient Optimization of Control Pulses for Practical Qubits. , 2018, Physical review letters.
[48] A. Blais,et al. Fast and Unconditional All-Microwave Reset of a Superconducting Qubit. , 2018, Physical review letters.
[49] Andrew W. Cross,et al. Quantum optimization using variational algorithms on near-term quantum devices , 2017, Quantum Science and Technology.
[50] John C. Platt,et al. Quantum supremacy using a programmable superconducting processor , 2019, Nature.
[51] Arkady Fedorov,et al. In Situ Characterization of Qubit Control Lines: A Qubit as a Vector Network Analyzer. , 2017, Physical review letters.
[52] P. Delsing,et al. Decoherence benchmarking of superconducting qubits , 2019, npj Quantum Information.
[53] Fei Yan,et al. A quantum engineer's guide to superconducting qubits , 2019, Applied Physics Reviews.
[54] S. Filipp,et al. Local control theory for superconducting qubits , 2018, Physical Review A.
[55] Ivano Tavernelli,et al. Gate-Efficient Simulation of Molecular Eigenstates on a Quantum Computer , 2018, Physical Review Applied.
[56] M. Weides,et al. Correlating Decoherence in Transmon Qubits: Low Frequency Noise by Single Fluctuators. , 2019, Physical review letters.
[57] Clemens Müller,et al. Towards understanding two-level-systems in amorphous solids: insights from quantum circuits , 2017, Reports on progress in physics. Physical Society.
[58] M. A. Rol,et al. Time-domain characterization and correction of on-chip distortion of control pulses in a quantum processor , 2019, Applied Physics Letters.
[59] G. Carleo,et al. Precise measurement of quantum observables with neural-network estimators , 2019, Physical Review Research.