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Related papers: Short seed extractors against quantum storage

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We construct a strong extractor against quantum storage that works for every min-entropy $k$, has logarithmic seed length, and outputs $\Omega(k)$ bits, provided that the quantum adversary has at most $\beta k$ qubits of memory, for any…

Quantum Physics · Physics 2011-06-24 Avraham Ben-Aroya , Amnon Ta-Shma

We show that Trevisan's extractor and its variants \cite{T99,RRV99} are secure against bounded quantum storage adversaries. One instantiation gives the first such extractor to achieve an output length $\Theta(K-b)$, where $K$ is the…

Quantum Physics · Physics 2010-03-31 Anindya De , Thomas Vidick

Seeded extractors are fundamental objects in pseudorandomness and cryptography, and a deep line of work has designed polynomial-time seeded extractors with nearly-optimal parameters. However, existing constructions of seeded extractors with…

Computational Complexity · Computer Science 2026-02-10 Dean Doron , João Ribeiro

An extractor is a function E that is used to extract randomness. Given an imperfect random source X and a uniform seed Y, the output E(X,Y) is close to uniform. We study properties of such functions in the presence of prior quantum…

Quantum Physics · Physics 2008-02-04 Robert Koenig , Barbara M. Terhal

Randomness extraction involves the processing of purely classical information and is therefore usually studied in the framework of classical probability theory. However, such a classical treatment is generally too restrictive for…

Quantum Physics · Physics 2012-08-24 Anindya De , Christopher Portmann , Thomas Vidick , Renato Renner

We give the first construction of a family of quantum-proof extractors that has optimal seed length dependence $O(\log(n/\varepsilon))$ on the input length $n$ and error $\varepsilon$. Our extractors support any min-entropy…

Quantum Physics · Physics 2016-08-02 Kai-Min Chung , Gil Cohen , Thomas Vidick , Xiaodi Wu

Many constructions of randomness extractors are known to work in the presence of quantum side information, but there also exist extractors which do not [Gavinsky {\it et al.}, STOC'07]. Here we find that spectral extractors $\psi$ with a…

Quantum Physics · Physics 2014-12-18 Mario Berta , Omar Fawzi , Volkher B. Scholz , Oleg Szehr

We initiate the study of multi-source extractors in the quantum world. In this setting, our goal is to extract random bits from two independent weak random sources, on which two quantum adversaries store a bounded amount of information. Our…

Quantum Physics · Physics 2010-05-05 Roy Kasher , Julia Kempe

Lattices are very important objects in the effort to construct cryptographic primitives that are secure against quantum attacks. A central problem in the study of lattices is that of finding the shortest non-zero vector in the lattice.…

Quantum Physics · Physics 2022-09-05 Nishant Rodrigues , Brad Lackey

Trevisan has shown that constructions of pseudo-random generators from hard functions (the Nisan-Wigderson approach) also produce extractors. We show that constructions of pseudo-random generators from one-way permutations (the…

Computational Complexity · Computer Science 2007-05-23 Marius Zimand

Quantum-proof randomness extractors are an important building block for classical and quantum cryptography as well as device independent randomness amplification and expansion. Furthermore they are also a useful tool in quantum Shannon…

Quantum Physics · Physics 2017-05-05 Mario Berta , Omar Fawzi , Volkher B. Scholz

Multi-source-extractors are functions that extract uniform randomness from multiple (weak) sources of randomness. Quantum multi-source-extractors were considered by Kasher and Kempe (for the quantum-independent-adversary and the…

Cryptography and Security · Computer Science 2023-06-08 Divesh Aggarwal , Naresh Goud Boddu , Rahul Jain , Maciej Obremski

Current quantum generative adversarial networks (QGANs) still struggle with practical-sized data. First, many QGANs use principal component analysis (PCA) for dimension reduction, which, as our studies reveal, can diminish the QGAN's…

Quantum Physics · Physics 2025-01-10 Cheng Chu , Aishwarya Hastak , Fan Chen

A $(k,\varepsilon)$-non-malleable extractor is a function ${\sf nmExt} : \{0,1\}^n \times \{0,1\}^d \to \{0,1\}$ that takes two inputs, a weak source $X \sim \{0,1\}^n$ of min-entropy $k$ and an independent uniform seed $s \in \{0,1\}^d$,…

Computational Complexity · Computer Science 2018-01-11 Tom Gur , Igor Shinkar

The notion of the cover is a generalization of a period of a string, and there are linear time algorithms for finding the shortest cover. The seed is a more complicated generalization of periodicity, it is a cover of a superstring of a…

Adversarial robustness in quantum classifiers is a critical area of study, providing insights into their performance compared to classical models and uncovering potential advantages inherent to quantum machine learning. In the NISQ era of…

Emerging Technologies · Computer Science 2026-03-09 Pouya Kananian , Hans-Arno Jacobsen

Since quantum computers are known to break the vast majority of currently-used cryptographic protocols, a variety of new protocols are being developed that are conjectured, but not proven to be safe against quantum attacks. Among the most…

Quantum Physics · Physics 2020-04-22 David Joseph , Alexandros Ghionis , Cong Ling , Florian Mintert

Although different architectures of quantum perceptrons have been recently put forward, the capabilities of such quantum devices versus their classical counterparts remain debated. Here, we consider random patterns and targets independently…

Quantum Physics · Physics 2024-02-01 Fabio Benatti , Giovanni Gramegna , Stefano Mancini , Gibbs Nwemadji

Efficient transformer variants with linear time complexity have been developed to mitigate the quadratic computational overhead of the vanilla transformer. Among them are low-rank projection methods such as Linformer and kernel-based…

Computation and Language · Computer Science 2022-10-14 Yizhe Zhang , Deng Cai

We make progress in the following three problems: 1. Constructing optimal seeded non-malleable extractors; 2. Constructing optimal privacy amplification protocols with an active adversary, for any security parameter; 3. Constructing…

Cryptography and Security · Computer Science 2016-04-06 Eshan Chattopadhyay , Xin Li
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