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Related papers: Refining a Quantitative Information Flow Metric

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Quantum key distribution (QKD) is an important branch of quantum information science as it holds promise for unconditionally secure communication. For QKD research, a central issue is to improve the final secure key rate (SKR) and the…

Quantum Physics · Physics 2021-11-23 Hao-Kun Mao , Qiang Zhao , Yu-Cheng Qiao , Bing-Ze Yan , Bing-Jie Xu , Ahmed A. Abd EL-Latif , Qiong Li

The flow matching has rapidly become a dominant paradigm in classical generative modeling, offering an efficient way to interpolate between two complex distributions. We extend this idea to the quantum realm and introduce the Quantum Flow…

Quantum Physics · Physics 2026-02-03 Zidong Cui , Pan Zhang , Ying Tang

This work's main goal is to understand if Information Flow Control (IFC), a security technique used for discovering leaks in software, could be used to indicate the presence of dynamic semantic conflicts between developers contributions in…

Software Engineering · Computer Science 2024-04-15 Roberto Souto Maior de Barros Filho , Paulo Borba

Quantum information theory is the study of the achievable limits of information processing within quantum mechanics. Many different types of information can be accommodated within quantum mechanics, including classical information, coherent…

Quantum Physics · Physics 2007-05-23 M. A. Nielsen

This work introduces the novel concept of kind refinement, which we develop in the context of an explicitly polymorphic ML-like language with type-level computation. Just as type refinements embed rich specifications by means of…

Programming Languages · Computer Science 2019-08-02 Luís Caires , Bernardo Toninho

Information flow analysis prevents secret or untrusted data from flowing into public or trusted sinks. Existing mechanisms cover a wide array of options, ranging from lightweight taint analysis to heavyweight information flow control that…

Cryptography and Security · Computer Science 2019-06-28 Cristian-Alexandru Staicu , Daniel Schoepe , Musard Balliu , Michael Pradel , Andrei Sabelfeld

Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning.…

Quantum Physics · Physics 2024-08-21 Xuan-Bac Nguyen , Hoang-Quan Nguyen , Hugh Churchill , Samee U. Khan , Khoa Luu

As modern neural networks become increasingly memory-bound, inference throughput is limited by DRAM bandwidth rather than compute. We present Arithmetic-Intensity-Aware Quantization (AIQ), a mixed precision quantization framework that…

Machine Learning · Computer Science 2025-12-18 Taig Singh , Shreshth Rajan , Nikhil Jain

We present a new technique for proving the security of quantum key distribution (QKD) protocols. It is based on direct information-theoretic arguments and thus also applies if no equivalent entanglement purification scheme can be found.…

Quantum Physics · Physics 2009-11-11 R. Renner , N. Gisin , B. Kraus

Websites today routinely combine JavaScript from multiple sources, both trusted and untrusted. Hence, JavaScript security is of paramount importance. A specific interesting problem is information flow control (IFC) for JavaScript. In this…

Cryptography and Security · Computer Science 2014-01-22 Abhishek Bichhawat , Vineet Rajani , Deepak Garg , Christian Hammer

Many papers proved the security of quantum key distribution (QKD) system, in the asymptotic framework. The degree of the security has not been discussed in the finite coding-length framework, sufficiently. However, to guarantee any…

Quantum Physics · Physics 2009-11-13 Masahito Hayashi

Detection and quantification of information leaks through timing side channels are important to guarantee confidentiality. Although static analysis remains the prevalent approach for detecting timing side channels, it is computationally…

Cryptography and Security · Computer Science 2019-07-25 Saeid Tizpaz-Niari , Pavol Cerny , Sriram Sankaranarayanan , Ashutosh Trivedi

Quantum metrology is a rapidly developing branch of quantum technologies. While various theories have been established on quantum metrology for Markovian processes, i.e., quantum channel estimation, quantum metrology for non-Markovian…

Quantum Physics · Physics 2021-08-04 Anian Altherr , Yuxiang Yang

Practitioners of secure information flow often face a design challenge: what is the right semantic treatment of leaks via termination? On the one hand, the potential harm of untrusted code calls for strong progress-sensitive security. On…

Programming Languages · Computer Science 2020-05-12 Johan Bay , Aslan Askarov

Identifying features that leak information about sensitive attributes is a key challenge in the design of information obfuscation mechanisms. In this paper, we propose a framework to identify information-leaking features via information…

Information Theory · Computer Science 2019-10-21 Hsiang Hsu , Shahab Asoodeh , Flavio du Pin Calmon

We introduce a privacy measure called statistic maximal leakage that quantifies how much a privacy mechanism leaks about a specific secret, relative to the adversary's prior information about that secret. Statistic maximal leakage is an…

Information Theory · Computer Science 2024-11-28 Shuaiqi Wang , Zinan Lin , Giulia Fanti

We introduce qprof, a new and extensible quantum program profiler able to generate profiling reports of various quantum circuits. We describe the internal structure and working of qprof and provide three practical examples on practical…

Quantum Physics · Physics 2021-06-15 Adrien Suau , Gabriel Staffelbach , Aida Todri-Sanial

The ultimate goal of the classicality programme is to quantify the amount of quantumness of certain processes. Here, classicality is studied for a restricted type of process: quantum information processing (QIP). Under special conditions,…

Quantum Physics · Physics 2009-11-07 David Poulin

Leakage of quantum information out of computational states into higher energy states represents a major challenge in the pursuit of quantum error correction (QEC). In a QEC circuit, leakage builds over time and spreads through multi-qubit…

Quantum Physics · Physics 2024-05-01 Kevin C. Miao , Matt McEwen , Juan Atalaya , Dvir Kafri , Leonid P. Pryadko , Andreas Bengtsson , Alex Opremcak , Kevin J. Satzinger , Zijun Chen , Paul V. Klimov , Chris Quintana , Rajeev Acharya , Kyle Anderson , Markus Ansmann , Frank Arute , Kunal Arya , Abraham Asfaw , Joseph C. Bardin , Alexandre Bourassa , Jenna Bovaird , Leon Brill , Bob B. Buckley , David A. Buell , Tim Burger , Brian Burkett , Nicholas Bushnell , Juan Campero , Ben Chiaro , Roberto Collins , Paul Conner , Alexander L. Crook , Ben Curtin , Dripto M. Debroy , Sean Demura , Andrew Dunsworth , Catherine Erickson , Reza Fatemi , Vinicius S. Ferreira , Leslie Flores Burgos , Ebrahim Forati , Austin G. Fowler , Brooks Foxen , Gonzalo Garcia , William Giang , Craig Gidney , Marissa Giustina , Raja Gosula , Alejandro Grajales Dau , Jonathan A. Gross , Michael C. Hamilton , Sean D. Harrington , Paula Heu , Jeremy Hilton , Markus R. Hoffmann , Sabrina Hong , Trent Huang , Ashley Huff , Justin Iveland , Evan Jeffrey , Zhang Jiang , Cody Jones , Julian Kelly , Seon Kim , Fedor Kostritsa , John Mark Kreikebaum , David Landhuis , Pavel Laptev , Lily Laws , Kenny Lee , Brian J. Lester , Alexander T. Lill , Wayne Liu , Aditya Locharla , Erik Lucero , Steven Martin , Anthony Megrant , Xiao Mi , Shirin Montazeri , Alexis Morvan , Ofer Naaman , Matthew Neeley , Charles Neill , Ani Nersisyan , Michael Newman , Jiun How Ng , Anthony Nguyen , Murray Nguyen , Rebecca Potter , Charles Rocque , Pedram Roushan , Kannan Sankaragomathi , Christopher Schuster , Michael J. Shearn , Aaron Shorter , Noah Shutty , Vladimir Shvarts , Jindra Skruzny , W. Clarke Smith , George Sterling , Marco Szalay , Douglas Thor , Alfredo Torres , Theodore White , Bryan W. K. Woo , Z. Jamie Yao , Ping Yeh , Juhwan Yoo , Grayson Young , Adam Zalcman , Ningfeng Zhu , Nicholas Zobrist , Hartmut Neven , Vadim Smelyanskiy , Andre Petukhov , Alexander N. Korotkov , Daniel Sank , Yu Chen

Explainable systems expose information about why certain observed effects are happening to the agents interacting with them. We argue that this constitutes a positive flow of information that needs to be specified, verified, and balanced…

Logic in Computer Science · Computer Science 2025-09-24 Bernd Finkbeiner , Hadar Frenkel , Julian Siber
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