Gradual partial-collapse theory for ideal nondemolition longitudinal readout of qubits in circuit QED
Gradual partial-collapse theory for ideal nondemolition longitudinal readout of qubits in circuit QED
复制标题
电路 QED 中量子位理想非破坏纵向读出的渐进部分崩溃理论
DOI:
10.1103/physreva.98.022121
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发表时间:
2017-08
影响因子:
2.9
通讯作者:
Li Xin Qi
中科院分区:
文献类型:
--
作者:
Feng Wei;Zhang Cheng;Wang Zhong;Qin Lupei;Li Xin Qi
The conventional method of qubit measurements in circuit QED is employing the dispersive regime of qubit-cavity coupling, which results in an approximated scheme of quantum nondemolition (QND) readout. This scheme becomes problematic in the case of strong coupling and/or strong measurement drive, owing to the so-called Purcell effect. A recent proposal by virtue of longitudinal coupling suggests a new scheme to realize fast, high-fidelity, and ideal QND readout of qubit state. The aim of the present work is twofold: (i) In parallel to what has been done in the past years for the dispersive readout, we carry out the gradual partial-collapse theory for this recent scheme, in terms of both the quantum trajectory equation and quantum Bayesian approaches. The partial-collapse weak measurement theory is useful for such as the measurement-based feedback control and other quantum applications. (ii) In the physical aspect, we construct the joint qubit-plus-cavity entangled state under continuous measurement and present a comprehensive analysis for the quantum efficiency, qubit-state purity, and signal-to-noise ratio in the output currents. The combination of the joint state and the quantum Bayesian rule provides a generalized scheme of cavity reset associated with the longitudinal coupling, which can restore the qubit to a quantum pure state from entanglement with the cavity states, and thus benefits the successive partial-collapse measurements after qubit rotations.
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影响因子:
2
作者:
P. Knight
通讯作者:
P. Knight
DOI:
--
发表时间:
--
期刊:
--
影响因子:
--
作者:
A. Wallraff;D. Schuster;A. Blais;L. Frunzio;R.-S. Huang;J. Majer;S. Kumar;S. Girvin;R. Schoelkopf
通讯作者:
A. Wallraff;D. Schuster;A. Blais;L. Frunzio;R.-S. Huang;J. Majer;S. Kumar;S. Girvin;R. Schoelkopf
影响因子:
8.6
作者:
Didier, Nicolas;Bourassa, Jerome;Blais, Alexandre
通讯作者:
Blais, Alexandre
影响因子:
8.6
作者:
Gammelmark, Soren;Julsgaard, Brian;Molmer, Klaus
通讯作者:
Molmer, Klaus
影响因子:
19.6
作者:
Lupascu, A.;Saito, S.;Mooij, J. E.
通讯作者:
Mooij, J. E.