Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/319295
Type: Artigo de periódico
Title: Multifractality In Fidelity Sequences Of Optimized Toffoli Gates
Abstract: We analyze the multifractality in the fidelity sequences of several engineered Toffoli gates. Using quantum control methods, we consider several optimization problems whose global solutions realize the gate in a chain of three qubits with XY Heisenberg interaction. Applying a minimum number of control pulses assuring a fidelity above 99 % in the ideal case, we design stable gates that are less sensitive to variations in the interqubits couplings. The most stable gate has the fidelity above 91 % with variations about 0.1 %, for up to 10 % variation in the nominal couplings. We perturb the system by introducing a single source of 1 / f noise that affects all the couplings. In order to quantify the performance of the proposed optimized gates, we calculate the fidelity of a large set of optimized gates under prescribed levels of coupling perturbation. Then, we run multifractal analysis on the sequence of attained fidelities. This way, gate performance can be assessed beyond mere average results, since the chosen multifractality measure (the width of the multifractal spectrum) encapsulates into a single performance indicator the spread of fidelity values around the mean and the presence of outliers. The higher the value of the performance indicator the more concentrated around the mean the fidelity values are and rarer is the occurrence of outliers. The results of the multifractal analysis on the fidelity sequences demonstrate the effectiveness of the proposed optimized gate implementations, in the sense they are rendered less sensitive to variations in the interqubits coupling strengths. © 2016 Springer Science+Business Media New York
Editor: Springer New York LLC
Citation: Quantum Information Processing. Springer New York Llc, p. 1 - 20, 2016.
Rights: fechado
Identifier DOI: 10.1007/s11128-016-1409-6
Address: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84980028590&partnerID=40&md5=4b26a89945dd15f5b63b9513d1b6ed33
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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