2023 Gene Golub SIAM Summer School on Quantum Computing and Optimization

Εικόνα stratis
Αγαπητές και αγαπητοί φοιτήτριες και φοιτητές, μεταπτυχιακές και μεταπτυχιακοί, παραθέτω πληροφορίες σχετικά με το Θερινό Σχολείο στη σειρά του ετήσιου Gene Golub SIAM Summer School που διοργανώνεται το επόμενο καλοκαίρι στο Lehigh University (Bethlehem, Pennsylvania) υπό την αιγίδα του SIAM (Society for Industrial  and Applied Mathematics). Το θέμα του φετινού συνεδρίου είναι Quantum Computing and Optimization. Αξίζει να σημειωθεί ότι το 2015 G2S3 είχε διεξαχθεί στους Δελφούς με θέμα Randomized Numerical Linear Algebra και αξιόλογη συμμετοχή του τμήματος.

2023 Gene Golub SIAM Summer School on Quantum Computing and Optimization
By harnessing the properties of subatomic particles, quantum computing (QC) has the potential to radically transform our capability to solve extremely difficult decision-making and optimization problems for which no efficient classical algorithms exist. The goal for this program is to help build the next generation of QC researchers by bringing together QC and optimization experts and students in an inquiry-based learning environment. We will provide a concentrated review of necessary prerequisite math, optimization, and classical and quantum computing material. The QC-specific curriculum will then be broken into three parts: foundations of QC, quantum optimization techniques, and advanced topics and applications in QC. Students will work closely with lecturers to apply their learning by engaging in interactive seminars and labs.
The Summer School will be held at Lehigh University, Bethlehem, PA, from July 30 to August 12, 2023. In person attendance is required. Graduate and advanced undergraduate students highly motivated to learn QC and optimization techniques are encouraged to apply. Experience in QC or optimization is not required to join the program.
The summer school, founded by SIAM as the result of a generous bequest of former SIAM President Gene Golub, offers schools in applied mathematics, computational science, and industrial mathematics, primarily for graduate students in mathematics and computer science.

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