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Magnon dark modes and gradient memory
Xufeng Zhang1, Chang-Ling Zou1,2,3, Na Zhu1
1Department of Electrical Engineering, Yale University, New Haven, Connecticut 06511, USA.
Nature Communications
|November 17, 2015
Summary
Researchers developed a magnon gradient memory using dissipation engineering. This quantum memory utilizes yttrium iron garnet magnons to store information in long-lived dark modes, overcoming short coherence times in superconducting circuits.
Area of Science:
- Quantum physics
- Solid-state physics
- Quantum information science
Background:
- Superconducting circuits suffer from short coherence times, limiting quantum computations.
- Hybrid quantum systems aim to enhance coherence by integrating long-lived quantum degrees of freedom.
- Single-crystal yttrium iron garnet (YIG) has emerged as a promising material for hybrid systems due to its long-lived spin excitations (magnons).
Purpose of the Study:
- To engineer non-Markovian dynamics between magnons and microwave cavity photons.
- To develop a magnon-based quantum memory with extended storage lifetime.
- To leverage magnon dark modes for robust information storage.
Main Methods:
- Dissipation engineering to control quantum system dynamics.
- Utilizing well-defined magnon modes in single-crystal YIG for tunable interactions.
- Creating a magnon gradient memory by exploiting magnon dark states.
Main Results:
- Achieved non-Markovian interaction dynamics between magnons and microwave cavity photons.
- Demonstrated the storage of information in magnon dark modes, which are decoupled from the cavity.
- Established a magnon gradient memory with significantly improved lifetime.
Conclusions:
- Dissipation engineering enables non-Markovian dynamics for quantum applications.
- Magnon dark modes offer a pathway to long-lived quantum information storage.
- This approach provides a promising route for developing long-lifetime, multimode quantum memories.
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