4.8 Article

Observation of Non-Hermitian Topology with Nonunitary Dynamics of Solid-State Spins

期刊

PHYSICAL REVIEW LETTERS
卷 127, 期 9, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.127.090501

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资金

  1. Frontier Science Center for Quantum Information of the Ministry of Education of China
  2. Tsinghua University Initiative Scientific Research Program
  3. Beijing Academy of Quantum Information Sciences
  4. National key Research and Development Program of China [2016YFA0301902]
  5. Shanghai Qi Zhi Institute

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This study implements a non-Hermitian topological phase model and investigates it using a solid-state quantum simulator, demonstrating both integer and fractional winding numbers. The non-Hermitian topological phase with a fractional winding number is intrinsic to non-Hermitian systems and cannot be continuously deformed into any Hermitian topological phase.
Non-Hermitian topological phases exhibit a number of exotic features that have no Hermitian counterparts, including the skin effect and breakdown of the conventional bulk-boundary correspondence. Here, we implement the non-Hermitian Su-Schrieffer-Heeger Hamiltonian, which is a prototypical model for studying non-Hermitian topological phases, with a solid-state quantum simulator consisting of an electron spin and a C-13 nuclear spin in a nitrogen-vacancy center in a diamond. By employing a dilation method, we realize the desired nonunitary dynamics for the electron spin and map out its spin texture in the momentum space, from which the corresponding topological invariant can be obtained directly. From the measured spin textures with varying parameters, we observe both integer and fractional winding numbers. The non-Hermitian topological phase with fractional winding number cannot be continuously deformed to any Hermitian topological phase and is intrinsic to non-Hermitian systems. Our result paves the way for further exploiting and understanding the intriguing properties of non-Hermitian topological phases with solid-state spins or other quantum simulation platforms.

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