Skip to main content
Sandbox Physics

C-X4 · Repeating a current ramp

Josephson Switching Statistics

Why does a biased Josephson junction switch before its critical current? Below the critical current, the phase is trapped behind a finite barrier. Heat can lift it over the barrier, and at low temperature quantum tunnelling can carry it through. Repeated current ramps therefore switch at a distribution of currents below the threshold.

Repeat a rising current ramp and record when a junction develops voltage. Compare thermal activation with a ground-state tunnelling approximation using the same potential barrier.

Interactive modelJosephson Switching Statistics
Mean switching currentLoading\text{Loading}
Standard deviationLoading\text{Loading}
Recorded rampsLoading\text{Loading}
Escape modelLoading\text{Loading}

From the experiment

Observe, then compare

Cyan: sampled switching histogram. Amber: thermal alternative at the same temperature. Both use synthetic junction parameters.

Recorded switching currents
The phase potential at mean switching

Physics tutorial

From a metastable phase to switching currents

BackgroundA current bias tilts the Josephson phase potential. The zero-voltage state is a metastable minimum separated from running phase by a finite barrier.

Why it mattersOne switching event cannot distinguish escape mechanisms. Repeated ramps reveal how the distribution changes with temperature and capacitance.

Start with the essentials

Focus question
Why does a biased Josephson junction switch before its critical current?
One-sentence intuition
A finite escape rate accumulated during the ramp produces a distribution below the critical current.

Core mathematical model

Tilted Josephson potential

U(φ)=−EJ(cos⁡φ+iφ),i=I/IcU(\varphi)=-E_J(\cos\varphi+i\varphi),\quad i=I/I_c

Phase is the collective circuit coordinate; the potential diagram belongs in the data row, not on the physical chip.

Exact sinusoidal barrier

ΔU=2EJ[1−i2−iarccos⁡i]\Delta U=2E_J\left[\sqrt{1-i^2}-i\arccos i\right]

The barrier shrinks to zero as the current reaches the critical value.

Survival during a ramp

S(i)=exp⁡ ⁣[−∫0iΓ(u)i˙ du]S(i)=\exp\!\left[-\int_0^i\frac{\Gamma(u)}{\dot i}\,du\right]

The histogram is sampled from the probability lost from this survival function. The displayed standard deviation is calculated from the stored samples.

Common difficulties

Reading the model correctly

Typical misconceptionThe animated current carriers are the object tunnelling through the potential diagram.

Better mental modelThe escaping coordinate is the collective phase difference. The apparatus animation replays recorded voltage switching; it does not resolve microscopic pair paths.

Run the experiment

  1. 01

    Compare escape mechanisms

    Select Cold tunnelling, then Cold thermal comparison.

    What to observe: Thermal activation becomes exponentially rare in the cold; the ground-state tunnelling approximation retains a finite rate.
  2. 02

    Warm the bath

    Select Warm thermal escape and change Bath temperature.

    What to observe: Thermal switching moves to a lower current as escape becomes easier.
  3. 03

    Change the phase inertia

    Compare Cold tunnelling and Larger capacitance.

    What to observe: Larger capacitance lowers the plasma frequency and suppresses the WKB rate at the same bias.
FeedbackSomething broken, confusing, or missing on this page?Tell us
What kind of feedback?

Sent with this page’s address, its Lab ID, the site language and your device type. Please leave out personal details. Feedback is kept for up to 12 months.Privacy policy