Seminars

Randy - Gap-preserving compression theorem for nonlocal games
The gap-preserving compression theorem is the backbone behind showing that approximating the optimal value for a nonlocal game is …
Oct 30, 2024
Ricardo Rivera - Not specified
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Oct 29, 2024
Marco Robbio - Not specified
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Oct 23, 2024
Ashwin Nayak - Not specified
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Oct 16, 2024
Marco Avesani - Not specified
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Oct 8, 2024
Yaroslav Herasymenko - Efficient learning of quantum states prepared with few fermionic non-Gaussian gates
The aim of quantum state tomography is to learn the full quantum state from data obtained by measurements. Without prior assumptions on …
Oct 4, 2024
Yoann Piétri - Not specified
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Sep 25, 2024
Tony Metger - How to derandomise the Haar measure
Uniformly random unitaries, i.e. unitaries drawn from the Haar measure, have many useful properties, but cannot be implemented …
Aug 28, 2024
Slimane Thabet - is Quantum Positional Encodings for Graph Neural Networks
In this work, we propose novel families of positional encodings tailored to graph neural networks obtained with quantum computers. …
Jun 26, 2024
Raja - All graph state verification protocols are composably secure
Graph state verification protocols allow multiple parties to share a graph state while checking that the state is honestly prepared, …
Jun 21, 2024