Open-Loop Optimization Schemes

2021 ◽  
pp. 97-139
Author(s):  
Feng Gao ◽  
Tao Xu
2004 ◽  
Vol 59 (6) ◽  
pp. 1167-1180 ◽  
Author(s):  
Kenneth R. Muske ◽  
Manish Badlani ◽  
Phillip C. Dell'Orco ◽  
Jeffrey Brum

2001 ◽  
Vol 124 (1) ◽  
pp. 154-157 ◽  
Author(s):  
P. De Man ◽  
A. Franc¸ois ◽  
A. Preumont

A SISO control system is built by using a volume displacement sensor and a set of actuators driven in parallel with a single amplifier. The actuators location is optimized to achieve an open-loop transfer function which exhibits alternating poles and zeros, as for systems with collocated actuators and sensors; the search procedure uses a genetic algorithm. The ability of a simple lead compensator to control this SISO system is numerically demonstrated.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
M. Werninghaus ◽  
D. J. Egger ◽  
F. Roy ◽  
S. Machnes ◽  
F. K. Wilhelm ◽  
...  

AbstractReaching high-speed, high-fidelity qubit operations requires precise control over the shape of the underlying pulses. For weakly anharmonic systems, such as superconducting transmon qubits, short gates lead to leakage to states outside of the computational subspace. Control pulses designed with open-loop optimal control may reduce such leakage. However, model inaccuracies can severely limit the usability of such pulses. We implemented a closed-loop optimization that simultaneously adapts all control parameters based on measurements of a cost function built from Clifford gates. We directly optimize the amplitude and phase of each sample point of the digitized control pulse. We thereby fully exploit the capabilities of the pulse generation electronics and create a 4.16 ns single-qubit pulse with 99.76 % fidelity and 0.044 % leakage. This is a sevenfold reduction of the leakage rate and a threefold reduction in standard errors of the best DRAG pulse we have calibrated at such short durations on the same system.


2008 ◽  
Vol 2 (3) ◽  
pp. 155-168 ◽  
Author(s):  
R. Gabasov ◽  
F.M. Kirillova ◽  
N.V. Balashevich

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