Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses
ABSTRACT Optoelectronic synapses encode light through scalar variables (i.e., intensity or wavelength), leaving inputs that differ only in field symmetry indistinguishable at the hardware level. Circularly polarized light introduces helicity as a symmetry‐defined degree of freedom; however, the conversion into persistent analog memory remains challenging. This study demonstrates that optical helicity biases the electrically driven formation of persistent analog conductance states in chiral quasi‐two‐dimensional perovskite synapses. Within the (R/S‐PEA) 2 MA n ‐1 Pb n I 3 n +1 multi‐quantum‐well series, the n = 3 composition provided the optimal convergence of chiroptical selectivity, layered structural registry, and transport‐supporting structural order, enabling reproducible low‐nonlinearity analog weight updates and 72 statistically distinguishable conductance states retained over 10 6 s. An independently evaluated read‐noise‐informed framework yielded a read‐noise‐limited capacity estimate of 72.3 levels, providing a quantitative link between measured read noise and analog‐state capacity. In conclusion, optical helicity can be encoded into, retained in, and read from electrically programmed analog conductance states, providing a persistent state variable for neuromorphic computation.
Authors
- Hyojung Cha (ORCID: https://orcid.org/0000-0003-0184-9471)
- Sung Su Yoon
- Dong Gyu Lee (ORCID: https://orcid.org/0009-0002-9196-5029)
- Hyung‐Min Lee (ORCID: https://orcid.org/0000-0003-1191-3553)
- Hyungju Ahn (ORCID: https://orcid.org/0000-0002-4112-526X)
- Minseong Um (ORCID: https://orcid.org/0000-0002-3132-3115)
- Minil Kang (ORCID: https://orcid.org/0009-0005-6650-074X)
- Gyeong Min Lee
- Tae Kyung Lee (ORCID: https://orcid.org/0000-0003-0238-2420)
- Jae Won Shim (ORCID: https://orcid.org/0000-0001-8387-160X)
- Oh‐Hyun Kwon (ORCID: https://orcid.org/0000-0003-2060-1340)
- SungWoo Nam (ORCID: https://orcid.org/0000-0002-9719-7203)
- Min Jong Lee (ORCID: https://orcid.org/0009-0002-2908-8440)
- Gayoung Ham (ORCID: https://orcid.org/0009-0007-1402-5881)
- Sang Heon Park
- Seongwon Lee
- Hyoungwook Cho (ORCID: https://orcid.org/0009-0006-0536-4999)
Institutions
- Gyeongsang National University (KR)
- Korea University (KR)
- University of California, Irvine (US)
- Kyungpook National University (KR)
- Irvine University (US)
- Pohang Accelerator Laboratory
- Hanyang University (KR)
- Korea Institute of Science and Technology (KR)
Publication Details
- Journal
- Advanced Materials
- Published
- 2026-10-05
- DOI
- https://doi.org/10.1002/adma.75308
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00