SOURCE-LINKED INTELLIGENCE
Schrödinger bridges to open quantum systems
nd, optimal transportation and Brownian/Schrödinger bridges are of central importance in applications requiring regulation and estimation of classical stochastic processes. These include unsupervised machine learning, motion planning in robotics or protein docking and single-cell genomics in biology. In this project, we set out to extend these classical theories into the quantum domain. Specifically, we will develop original methods to regulate and estimate the dynamics of open quantum systems. The research will lead to powerful optimization tools for state steering quantum control of noisy quantum dynamics, and will also provide novel insights into the thermodynamics of stochastic quantum processes. Furthermore, the project will deliver new methods to characterize the dynamics of complex quantum systems that better fit experimental observations, thus making a groundbreaking contribution to the theory of open quantum systems. Overall, this research will bridge the gap between mathematics and the next generation of quantum technologies, which will have broad implications, from quantum
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 165312.96
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.