TY - GEN
T1 - Quantum Computing for Synthetic Bioprocess Data Generation and Time-Series Forecasting
AU - Gibford, Shawn
AU - Boskabadi, Mohammad Reza
AU - Mansouri, Seyed Soheil
PY - 2025
Y1 - 2025
N2 - Data scarcity in pilot-scale photobioreactors, particularly for single-cell organism cultivation, poses challenges for accurate model development and process optimization. We propose using a quantum Generative Adversarial Network (GAN) to generate synthetic time-series data, with a focus on Optical Density, a key metric for Dry Biomass estimation. Our results show high fidelity in synthetic data generation. This approach addresses critical data gaps, enabling better model development and parameter optimization in bioprocess engineering.
AB - Data scarcity in pilot-scale photobioreactors, particularly for single-cell organism cultivation, poses challenges for accurate model development and process optimization. We propose using a quantum Generative Adversarial Network (GAN) to generate synthetic time-series data, with a focus on Optical Density, a key metric for Dry Biomass estimation. Our results show high fidelity in synthetic data generation. This approach addresses critical data gaps, enabling better model development and parameter optimization in bioprocess engineering.
KW - Quantum machine learning
KW - Synthetic data generation
KW - Bioprocess time series prediction
KW - Generative adversarial networks
M3 - Article in proceedings
T3 - Systems & Control Transactions
SP - 95
EP - 96
BT - ESCAPE 35: 35th European Symposium on Computer Aided Process Engineering 2025
A2 - Van Impe, Jan F. M.
A2 - Léonard, Grégoire
A2 - S. Bhonsale, Satyajeet
A2 - E. Polanska, Monika
A2 - Logist, Filip
PB - EUROSIS
T2 - 35th European Symposium on Computer Aided Process Engineering (ESCAPE 35)
Y2 - 6 July 2025 through 9 July 2025
ER -