Superconductivity
How fast does a cuprate's superconducting order melt and recover?
Open access · cc by · source: Europe PMC
By watching how a superconductor triples the frequency of terahertz light after a laser flash, the authors see its superconducting order collapse within a picosecond and recover in about nine.
Study at a glance
- Design
- Other — Pump-drive experiment: femtosecond optical pump plus multicycle THz drive, measuring third-harmonic generation in 1D and 2D time scans
- N
- No sample N; one optimally doped La2-xSrxCuO4 thin film measured across pump fluences and temperatures
- Population
- An 80 nm thick optimally doped LSCO cuprate superconductor film
- Outcome
- Pump-induced change in terahertz third-harmonic signal and the extracted nonlinear kernel over time
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
In simple 1D scans the third-harmonic signal surprisingly increased after pumping, and its peak change rose then fell with fluence, dropping above about 30 microjoules per square centimetre where condensate suppression beats reduced screening. Extra oscillations at twice and four times the drive frequency were explained as wave mixing between pump and terahertz fields. After normalising by the fundamental in 2D scans, the nonlinear response was fully suppressed within 1 ps and relaxed back in about 9 ps, matching photoemission studies of other cuprates.
Methodology
The team drove a thin film of the high-temperature superconductor LSCO with an intense 0.7 THz field, which makes the superconducting condensate emit third-harmonic light at 2.1 THz. A femtosecond near-infrared pulse then disturbed the superconductor, and they tracked how the third-harmonic signal changed with delay, pump strength and temperature. Two-dimensional scans let them measure the fundamental and third-harmonic fields together and normalise out changes in the local field.
Limitations
Only one material and film were studied, so generality to other superconductors is argued rather than shown. The method cannot separate amplitude and phase fluctuations of the order parameter, which the authors note photoemission can do. Interpreting the kernel as tracking the order parameter relies on a quasi-equilibrium assumption, and the explanation of the sign change near 30 K leans on earlier fluctuation studies. Several key analyses are in supplementary texts not included here.
How this study connects
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