Intrinsic spin fluctuations reveal the dynamical response function of holes coupled to nuclear spin baths in (In,Ga)As quantum dots
Yan Li, N. Sinitsyn, D. L. Smith, D. Reuter, A. D. Wieck, D. R., Yakovlev, M. Bayer, S. A. Crooker

TL;DR
This study uses intrinsic spin fluctuations in (In,Ga)As quantum dots to uncover the dynamical response of holes interacting with nuclear spin baths, revealing long correlation times and a crossover in relaxation dynamics.
Contribution
It introduces a novel method of using spin noise to directly measure the dynamical response function of hole-nuclear spin interactions in quantum dots.
Findings
Spin correlation times extend to 400 ns at zero field and up to 5 μs with small magnetic fields.
The noise lineshape transitions from Lorentzian to power-law, indicating a change from exponential to inverse-log relaxation.
Longer spin correlation times suggest potential for quantum information applications.
Abstract
The problem of how single "central" spins interact with a nuclear spin bath is essential for understanding decoherence and relaxation in many quantum systems, yet is highly nontrivial owing to the many-body couplings involved. Different models yield widely varying timescales and dynamical responses (exponential, power-law, Gaussian, etc). Here we detect the small random fluctuations of central spins in thermal equilibrium (holes in singly-charged (In,Ga)As quantum dots) to reveal the timescales and functional form of bath-induced spin relaxation. This spin noise indicates long (400 ns) spin correlation times at zero magnetic field, that increase to 5 s as hole-nuclear coupling is suppressed with small (100 G) applied fields. Concomitantly, the noise lineshape evolves from Lorentzian to power-law, indicating a crossover from exponential to inverse-log dynamics.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
