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Rapid state purification in a superconducting charge qubit

E. J. Griffith, C. D. Hill and J. F. Ralph



Department of Electrical Engineering and Electronics,

The University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, United Kingdom



Kurt Jacobs



Department of Physics and Astronomy, Louisiana State University,

202 Nicholson Hall, Tower Drive, Baton Rouge, LA 70803



We propose techniques for implementing two different forms of rapid state purification,

within the constraints of a single junction superconducting charge qubit system [1]. In

this system, the Bloch vector (which represents the mixed state of the qubit) is

undergoing constant rotations about the x-axis of the Bloch sphere due to the coherent

tunnelling across a Josephson junction. To restrict the complexity of the system to a

two-state approximation and to maintain a minimum energy level separation at all times

to reduce the effect of thermal fluctuations, the magnitude of the control fields that can

be applied is limited. Previous work has assumed the availability of infinite Hamiltonian

feedback resources, which can be applied perfectly and instantaneously. Our work has

generated algorithms which achieve near optimal results within this framework of

constraints.



I MINIMISING THE AVERAGE PURIFCATION TIME



For a generic qubit model, it has been shown that the rate at which the average purity

increases is a maximum when the Bloch vector is instantaneously rotated onto the plane

perpendicular to the measurement axis after each weak measurement [2] (see Fig. 1). To

achieve this in a practical system, the proposed method uses a continuous weak

measurement of the z-operator (charge) to estimate the bias control pulse necessary to

create a z-axis rotation which takes the Bloch vector to the x-axis. This constrains the

Bloch vector to a region near to the xy-plane, making purification insensitive to

rotations about the x-axis and maximising the rate of increase of the average purity.



Z

Z







Y

X

Y

X



Figures 1, 2 Path of Bloch vector on application of feedback described in I and II

II MINIMISING THE INDIVIDUAL PURIFCATION TIMES



It has also been shown recently that applying feedback to instantaneously rotate the

Bloch vector to the measurement axis, minimises the purification times for individual

qubit statistics [3]. Using the method described in part I allows all qubits to reach a

particular purity in a given time, and so performs well for the average behaviour.

However, with method II we find the majority of qubits reach a required level of purity

much sooner (Fig. 4), and it is the existence of extreme cases that accounts for the

difference in average behaviour.

To implement this in a constantly rotating system, we apply and maintain a

strong bias field after the qubit has been allowed to rotate naturally to the z-axis. This

allows the Bloch vector to then rotate about a tilted axis in near alignment with the z-

axis, satisfying the above requirements (see Fig. 2).



III RESULTS









Figures 3, 4 Graphs of average purity performance gain, and the distribution of times taken

to reach a given impurity level of 0.001. Ideal I is a line, as the method is deterministic.



Figure 3 shows the average purity performance increase with respect to the worst case

of allowing the Bloch vector to drift between the two measurement outcomes on the z-

axis (the ideal method II). We clearly see the practical method introduced in part I, is

very close to the optimal boundary, (the ideal method I). Figure 4 illustrates the benefit

of rotating to the measurement axis (II) as the modal value of the purification time is

actually quicker than that of the optimal method for the average purity (I).



We find that a significant advantage in the practical implementation of method I is that

the controls that are required are relatively small – within an experimentally accessible

range. An experimental implementation of part II is limited by the ratio of the z and x-

axis rotational frequencies, but is also within an experimentally accessible regime.

There is also exists the possibility of adapting these algorithms to other systems, where

it is necessary to minimise the effects of an axis of rotation.



[1] Y. Nakamura, Yu. A. Pashkin and J. S. Tsai, Nature 398, 768, 1999

[2] K. Jacobs, Phys. Rev. A 67 030301(R), 2003

[3] H M Wiseman and J.F. Ralph, quant-ph/0603062 v1, 2006



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