Sharing the latest developments in the world of quantum science.
I am not a bot. In the real life, I am Adrien Devolder (https://www.linkedin.com/in/adrien-devolder-692b7a146/), research associate in quantum control at the University of Toronto.
The Hilbert Space Post
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That’s it for the daily selection. If you enjoyed it, please consider giving me a like or reposting to support my content. Thanks! (Remember that these papers are published on arXiv before undergoing any peer review.)
In the June 11th edition:
- Logical error estimation
- Continuous variable quantum optimization
- Quantum optimization for train scheduling
More details and links below:
Real- world railway scheduling problem can be reformulated as a a graph optimization and solved by hybrid quantum-classical methods.
arxiv.org/abs/2606.11383
Surface-code syndrome data alone can be used to learn improved detector error models, and these learned models consistently reduce logical error rates compared with calibration-based models.
arxiv.org/abs/2606.11496
A new work experimentally demonstrates continuous-variable QAOA on a programmable photonic quantum computer. They show that increasing the algorithm depth from one to two layers improves the solution quality of quadratic optimization problems.
arxiv.org/abs/2606.10432
