Publications

(Also see Research Projects)

We aim to ensure that our research and project results are disseminated at conferences, in scientific journals and professional magazines. A sample of our published work follows.

Selected publications

Jacob L. Cybulski and Sebastian Zając (2025): “Quantum Modelling of Time Series: Expressivity vs. Trainability.” 20 August 2025, Preprint (Version 1). Available at Research Square. Access PDF.

Resulting Models Performance

Jacob L. Cybulski and Sebastian Zając (2024): “The Art of Data Encoding and Decoding for Quantum Time Series Analysis.” 8th International Conference on Quantum Techniques in Machine Learning University of Melbourne, Melbourne, Australia, 25-29 November 2024. Access Poster.

Three Models

Jacob L. Cybulski and Sebastian Zając (2024): “Design Considerations for Denoising Quantum Time-Series Autoencoder.” In Proc. of 24th International Conference on Computational Science (ICCS), edited by Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, and Peter M. A. Sloot, Lecture Notes in Computer Science, LNCS, vol. 14837, Part VI, 252–67, July 2-4, 2024, Malaga, Spain. Access PDF.

Quantum Time-Series Autoencoder

Jacob L. Cybulski and Thanh Nguyen (2023): “Impact of Barren Plateaus Countermeasures on the Quantum Neural Network Capacity to Learn.” Quantum Information Processing, 22, 442. Access Online.

Methodology

Nguyen Ngo Cong Thanh and Jacob L. Cybulski (2023): “Investigation of Barren Plateaus in Quantum Neural Network Development.” Presented at 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023), Waseda University, Tokyo, Japan, Poster 13568, August 20-25, 2023.

Variational Quantum Algorithm