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Condensed Matter > Quantum Gases

Title: Functional Determinant Approach Investigations of Heavy Impurity Physics

Authors: Jia Wang
Abstract: In this brief review, we report some new development in the functional determinant approach (FDA), an exact numerical method, in the studies of a heavy quantum impurity immersed in Fermi gases and manipulated with radio-frequency pulses. FDA has been successfully applied to investigate the universal dynamical responses of a heavy impurity in an ultracold ideal Fermi gas in both the time and frequency domain, which allows the exploration of the renowned Anderson's orthogonality catastrophe (OC). In such a system, OC is induced by the multiple particle-hole excitations of the Fermi sea, which is beyond a simple perturbation picture and manifests itself as the absence of quasiparticles named polarons. More recently, two new directions for studying heavy impurity with FDA have been developed. One is to extend FDA to a strongly correlated background superfluid background, a Bardeen-Cooper-Schrieffer (BCS) superfluid. In this system, Anderson's orthogonality catastrophe is prohibited due to the suppression of multiple particle-hole excitations by the superfluid gap, which leads to the existence of genuine polaron. The other direction is to generalize the FDA to the case of multiple RF pulses scheme, which extends the well-established 1D Ramsey spectroscopy in ultracold atoms into multidimensional, in the same spirit as the well-known multidimensional nuclear magnetic resonance and optical multidimensional coherent spectroscopy. Multidimensional Ramsey spectroscopy allows us to investigate correlations between spectral peaks of an impurity-medium system that is not accessible in the conventional one-dimensional spectrum.
Comments: arXiv admin note: text overlap with arXiv:2207.10501, arXiv:2202.05363
Subjects: Quantum Gases (cond-mat.quant-gas); Atomic Physics (physics.atom-ph)
Cite as: arXiv:2211.01765 [cond-mat.quant-gas]
  (or arXiv:2211.01765v2 [cond-mat.quant-gas] for this version)

Submission history

From: Jia Wang [view email]
[v1] Thu, 3 Nov 2022 12:45:42 GMT (681kb,D)
[v2] Thu, 17 Nov 2022 23:17:21 GMT (684kb,D)

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