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Recent challenges in novel quantum systems

Giancarlo Strinati Calvanese, Giovanni Di Giuseppe, Stefano Mancini, Fabio Marchesoni, Irene Marzoli, D. Neilson, Andrea Perali, P. Pieri, Paolo Tombesi, David Vitali

Published Jan 1, 2005• 0 citations
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The concept of quantum-secure readout of Physical Unclonable Functions (PUFs) has recently been realized experimentally in an optical PUF system. We analyze the security of this system under the strongest type of classical attack: the challenge estimation attack. The adversary performs a measurement on the challenge quantum state in order to learn as much about it as he can. Using this knowledge, he then tries to reconstruct the challenge and to emulate the PUF. We consider quadrature measurements, which are the most informative practical measurements known to us. We prove that even under this attack the expected number of photons detected in the verification mechanism is approximately a factor S + 1 too low; here S is the Quantum Security Parameter, defined as the number of modes in the optical system divided by the number of photons in the challenge. The photon count allows for a reliable distinction between an authentic PUF and a challenge estimation attack.
Recommendation systems play a key role in everyday life; they are used to suggest items that are selected among many candidates that usually belong to huge datasets. The recommendations require a good performance both in terms of speed and the effectiveness of the provided suggestions. At the same time, one of the most challenging approaches in computer science is quantum computing. This computational paradigm can provide significant acceleration for resource-demanding and time-consuming algorithms. It has become very popular in recent years, thanks to the different tools available to the scientific and technical communities. Since performance has great relevance in recommendation systems, many researchers in the scientific community have recently proposed different improvements that exploit quantum approaches to provide better performance in recommendation systems. This paper gives an overview of the current state of the art in the literature, outlining the different proposed methodologies and techniques and highlighting the challenges that arise from this new approach to the recommendation systems domain.
Quantum computing promises to revolutionize information processing by leveraging principles such as superposition and entanglement. However, the realization of scalable and reliable quantum hardware faces significant challenges. This paper explores the current state of quantum hardware design, identifying key obstacles and recent advancements. We discuss materials challenges, integration complexities, and the need for interdisciplinary approaches to overcome these barriers. Addressing these issues is crucial for the development of practical quantum computing systems