Statistical Methods and Mathematical Analysis for Quantum Information Science

September 16 — December 13, 2024

Description

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Quantum information science is a rapidly developing and broad field of research. It has made significant progress over the last decade, including the development of many promising applications such as efficient quantum computational algorithms, secure quantum communication protocols, and ultra-sensitive quantum sensors (to name just a few). Besides practical applications, quantum information science also sheds light on fundamental physics questions, including efficient descriptions of many-body systems, entanglement characterization of topological quantum systems, and quantum information scrambling of many-body systems. Novel mathematical tools and statistical models play a crucial role in investigating quantum systems. However, there are still many important open questions in quantum information science, which urgently need novel mathematical tools and statistical models. The aim of this program is to bring experts with different backgrounds of mathematics, control, statistics, physics, material, and computer science together, to spur transformational change in quantum information science.

Organizers

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A C
Aashish Clerk University of Chicago
L J
Liang Jiang University of Chicago
M M
Mazyar Mirrahimi Inria Paris
P R
Pierre Rouchon Mines Paris – PSL

Program Workshops

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Workshop
Quantum Networks
Workshop
Quantum Sensing
Workshop
Quantum Hardware
Workshop
Quantum Error Correction

Application

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Applications received by January 5, 2024 will have the first priority for consideration.

In order to apply for this program, you must first have an IMSI account and be logged in. Please login or create an account, and then return to this page to apply for the program.