A study on a hybrid autoencoder–QLSTM model for time series forecasting based on quantum machine learning
Crossref DOI link: https://doi.org/10.1007/s42484-026-00346-z
Published Online: 2026-02-24
Published Print: 2026-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Jang, Haiwon
Yang, Seungryeol
Cho, Youngwoo
Kim, Jongyeong
Chung, Doohee
Text and Data Mining valid from 2026-02-24
Version of Record valid from 2026-02-24
Article History
Received: 21 July 2025
Accepted: 7 January 2026
First Online: 24 February 2026
Declarations
:
: The authors declare no competing interests.