Layer codes as partially self-correcting quantum memories
- CQuIC Seminars
November 13, 2025 3:30 PM -
November 13, 2025 4:30 PM
PAIS 2540
- Host:
- Milad Marvian
- Presenter:
- Aleksander Kubica
Abstract: Self-correcting quantum memories provide passive protection of quantum information from noise, eliminating the need for active error correction. In this talk, I will discuss layer codes, a new class of 3D stabilizer codes that achieve optimal scaling of code parameters and energy barrier, making them promising candidates for self-correcting quantum memories. I will first outline the construction and parameters of random layer codes. Then, I will present two decoding algorithms and describe numerical simulations of memory times of random layer codes. Finally, I will show that layer codes exhibit partial self-correction. Our results indicate that partial self-correction is more common than expected, as it arises solely from a diverging energy barrier.
Based on arXiv:2510.06659.
Zoom passwords availible upon request. Please email nlordi AT unm.edu
