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PDF (double-sided) - Physics Department, UCSB - University of ...

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starts to tunnel to the neighboring branch the “Step Edge”. To determine the<br />

closest possible bias point to the step edge, it is useful to repeatedly run the qubit<br />

through its biasing cycle while varying its operating bias V Operate as indicated in<br />

Figure 8.4a. A scatter plot <strong>of</strong> the resulting switching times t Switch as a function<br />

<strong>of</strong> the operating bias V Operate might then look like Figure 8.4b.<br />

At this point it is useful to move to a representation <strong>of</strong> the data that describes<br />

the qubit state not in terms <strong>of</strong> a collection <strong>of</strong> switching times, but instead as the<br />

probability P T unnel <strong>of</strong> finding the qubit in the neighboring branch versus in the<br />

operating branch. This probability is obtained by defining a cut<strong>of</strong>f time t Cut<strong>of</strong>f<br />

that separates the switching times into two groups, each corresponding to one<br />

branch. In the example here, all switching times t Switch < 14.2 µs correspond to<br />

the qubit state being in the operating branch during the squid ramp, while all<br />

switching times t Switch > 14.2 µs correspond to qubit states that have tunneled<br />

out <strong>of</strong> the operating branch into the neighboring branch, i.e. t Cut<strong>of</strong>f<br />

= 14.2 µs.<br />

The probability P T unnel is then defined as:<br />

P T unnel = # <strong>of</strong> runs with t Switch > 14.2 µs<br />

total # <strong>of</strong> runs<br />

(8.1)<br />

From this equation it is clear that, to obtain an accurate measurement <strong>of</strong> P T unnel ,<br />

the experiment <strong>of</strong> interest needs to be repeated many times to collect enough<br />

statistical samples for t Switch .<br />

184

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