Detailed Information on Publication Record
2021
Semi-device-independent random number generation with flexible assumptions
PIVOLUSKA, Matej, Martin PLESCH, M. FARKAS, Natália RUŽIČKOVÁ, C. FLEGEL et. al.Basic information
Original name
Semi-device-independent random number generation with flexible assumptions
Authors
PIVOLUSKA, Matej (703 Slovakia, guarantor, belonging to the institution), Martin PLESCH (703 Slovakia, belonging to the institution), M. FARKAS, Natália RUŽIČKOVÁ (703 Slovakia), C. FLEGEL, N.H. VALENCIA, W. MCCUTCHEON, M. MALIK and EA AGUILAR
Edition
NPJ QUANTUM INFORMATION, BERLIN, NATURE RESEARCH, 2021, 2056-6387
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10306 Optics
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 10.758
RIV identification code
RIV/00216224:14610/21:00118911
Organization unit
Institute of Computer Science
UT WoS
000629173100001
Keywords in English
random number generation; QRNG
Tags
International impact, Reviewed
Změněno: 1/4/2021 10:25, RNDr. Matej Pivoluska, Ph.D.
Abstract
V originále
Our ability to trust that a random number is truly random is essential for fields as diverse as cryptography and fundamental tests of quantum mechanics. Existing solutions both come with drawbacks-device-independent quantum random number generators (QRNGs) are highly impractical and standard semi-device-independent QRNGs are limited to a specific physical implementation and level of trust. Here we propose a framework for semi-device-independent randomness certification, using a source of trusted vacuum in the form of a signal shutter. It employs a flexible set of assumptions and levels of trust, allowing it to be applied in a wide range of physical scenarios involving both quantum and classical entropy sources. We experimentally demonstrate our protocol with a photonic setup and generate secure random bits under three different assumptions with varying degrees of security and resulting data rates.
Links
GF17-33780L, research and development project |
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