Experimental realization of spin-tensor momentum coupling in ultracold Fermi gases

Donghao Li; Guoqi Bian; Jing Zhang; Liangchao Chen; Lianghui Huang; Pengjun Wang; Peng Peng; Zengming Meng

Experimental realization of spin-tensor momentum coupling in ultracold Fermi gases

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2003.11829 v1 pith:S3RI6AY5 submitted 2020-03-26 cond-mat.quant-gas

Donghao Li , Lianghui Huang , Peng Peng , Guoqi Bian , Pengjun Wang , Zengming Meng , Liangchao Chen , Jing Zhang This is my paper · ORCID

classification cond-mat.quant-gas

keywords stmcbandsystemcoupledcouplingenergyfermimiddle

verification ladder T0 review T1 audit T2 compute T3 formal

0 comments

abstract

We experimentally realize the spin-tensor momentum coupling (STMC) using the three ground Zeeman states coupled by three Raman laser beams in ultracold atomic system of $^{40}$K Fermi atoms. This new type of STMC consists of two bright-state bands as a regular spin-orbit coupled spin-1/2 system and one dark-state middle band. Using radio-frequency spin-injection spectroscopy, we investigate the energy band of STMC. It is demonstrated that the middle state is a dark state in the STMC system. The realized energy band of STMC may open the door for further exploring exotic quantum matters.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding
cs.GR 2025-07 conditional novelty 6.0 of 10

F-Hash encodes time-varying volumes into a 4D multi-resolution tesseract grid, reporting 10x to 100x faster convergence and fewer parameters than existing input encodings.

Pith tools