Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach

Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on th...
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Autor*in:	Biswas, Rounak [verfasserIn] Roy Talukdar, Dhruv Roy, Utpal

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Random numbers Superposition Hadamard gate Quantum random numbers Randomness test suite Classical versus Quantum Random Number Generator (RNG)

Anmerkung:	© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: SN Computer Science - Singapore : Springer Singapore, 2020, 5(2024), 1 vom: 03. Jan.
Übergeordnetes Werk:	volume:5 ; year:2024 ; number:1 ; day:03 ; month:01

Links:	Volltext

DOI / URN:	10.1007/s42979-023-02323-w

Katalog-ID:	SPR054254256

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520			\|a Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers.
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912			\|a GBV_ILN_213
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allfields	10.1007/s42979-023-02323-w doi (DE-627)SPR054254256 (SPR)s42979-023-02323-w-e DE-627 ger DE-627 rakwb eng Biswas, Rounak verfasserin (orcid)0009-0004-2056-4847 aut Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers. Random numbers (dpeaa)DE-He213 Superposition (dpeaa)DE-He213 Hadamard gate (dpeaa)DE-He213 Quantum random numbers (dpeaa)DE-He213 Randomness test suite (dpeaa)DE-He213 Classical versus Quantum Random Number Generator (RNG) (dpeaa)DE-He213 Roy Talukdar, Dhruv aut Roy, Utpal aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 5(2024), 1 vom: 03. Jan. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:5 year:2024 number:1 day:03 month:01 https://dx.doi.org/10.1007/s42979-023-02323-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 1 03 01
spelling	10.1007/s42979-023-02323-w doi (DE-627)SPR054254256 (SPR)s42979-023-02323-w-e DE-627 ger DE-627 rakwb eng Biswas, Rounak verfasserin (orcid)0009-0004-2056-4847 aut Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers. Random numbers (dpeaa)DE-He213 Superposition (dpeaa)DE-He213 Hadamard gate (dpeaa)DE-He213 Quantum random numbers (dpeaa)DE-He213 Randomness test suite (dpeaa)DE-He213 Classical versus Quantum Random Number Generator (RNG) (dpeaa)DE-He213 Roy Talukdar, Dhruv aut Roy, Utpal aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 5(2024), 1 vom: 03. Jan. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:5 year:2024 number:1 day:03 month:01 https://dx.doi.org/10.1007/s42979-023-02323-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 1 03 01
allfields_unstemmed	10.1007/s42979-023-02323-w doi (DE-627)SPR054254256 (SPR)s42979-023-02323-w-e DE-627 ger DE-627 rakwb eng Biswas, Rounak verfasserin (orcid)0009-0004-2056-4847 aut Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers. Random numbers (dpeaa)DE-He213 Superposition (dpeaa)DE-He213 Hadamard gate (dpeaa)DE-He213 Quantum random numbers (dpeaa)DE-He213 Randomness test suite (dpeaa)DE-He213 Classical versus Quantum Random Number Generator (RNG) (dpeaa)DE-He213 Roy Talukdar, Dhruv aut Roy, Utpal aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 5(2024), 1 vom: 03. Jan. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:5 year:2024 number:1 day:03 month:01 https://dx.doi.org/10.1007/s42979-023-02323-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 1 03 01
allfieldsGer	10.1007/s42979-023-02323-w doi (DE-627)SPR054254256 (SPR)s42979-023-02323-w-e DE-627 ger DE-627 rakwb eng Biswas, Rounak verfasserin (orcid)0009-0004-2056-4847 aut Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers. Random numbers (dpeaa)DE-He213 Superposition (dpeaa)DE-He213 Hadamard gate (dpeaa)DE-He213 Quantum random numbers (dpeaa)DE-He213 Randomness test suite (dpeaa)DE-He213 Classical versus Quantum Random Number Generator (RNG) (dpeaa)DE-He213 Roy Talukdar, Dhruv aut Roy, Utpal aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 5(2024), 1 vom: 03. Jan. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:5 year:2024 number:1 day:03 month:01 https://dx.doi.org/10.1007/s42979-023-02323-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 1 03 01
allfieldsSound	10.1007/s42979-023-02323-w doi (DE-627)SPR054254256 (SPR)s42979-023-02323-w-e DE-627 ger DE-627 rakwb eng Biswas, Rounak verfasserin (orcid)0009-0004-2056-4847 aut Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers. Random numbers (dpeaa)DE-He213 Superposition (dpeaa)DE-He213 Hadamard gate (dpeaa)DE-He213 Quantum random numbers (dpeaa)DE-He213 Randomness test suite (dpeaa)DE-He213 Classical versus Quantum Random Number Generator (RNG) (dpeaa)DE-He213 Roy Talukdar, Dhruv aut Roy, Utpal aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 5(2024), 1 vom: 03. Jan. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:5 year:2024 number:1 day:03 month:01 https://dx.doi.org/10.1007/s42979-023-02323-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 1 03 01
language	English
source	Enthalten in SN Computer Science 5(2024), 1 vom: 03. Jan. volume:5 year:2024 number:1 day:03 month:01
sourceStr	Enthalten in SN Computer Science 5(2024), 1 vom: 03. Jan. volume:5 year:2024 number:1 day:03 month:01
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Random numbers Superposition Hadamard gate Quantum random numbers Randomness test suite Classical versus Quantum Random Number Generator (RNG)
isfreeaccess_bool	false
container_title	SN Computer Science
authorswithroles_txt_mv	Biswas, Rounak @@aut@@ Roy Talukdar, Dhruv @@aut@@ Roy, Utpal @@aut@@
publishDateDaySort_date	2024-01-03T00:00:00Z
hierarchy_top_id	1668832976
id	SPR054254256
language_de	englisch
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author	Biswas, Rounak
spellingShingle	Biswas, Rounak misc Random numbers misc Superposition misc Hadamard gate misc Quantum random numbers misc Randomness test suite misc Classical versus Quantum Random Number Generator (RNG) Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach
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topic_title	Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach Random numbers (dpeaa)DE-He213 Superposition (dpeaa)DE-He213 Hadamard gate (dpeaa)DE-He213 Quantum random numbers (dpeaa)DE-He213 Randomness test suite (dpeaa)DE-He213 Classical versus Quantum Random Number Generator (RNG) (dpeaa)DE-He213
topic	misc Random numbers misc Superposition misc Hadamard gate misc Quantum random numbers misc Randomness test suite misc Classical versus Quantum Random Number Generator (RNG)
topic_unstemmed	misc Random numbers misc Superposition misc Hadamard gate misc Quantum random numbers misc Randomness test suite misc Classical versus Quantum Random Number Generator (RNG)
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title	Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach
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title_full	Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach
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title_sort	verifying the reliability of quantum random number generator: a comprehensive testing approach
title_auth	Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach
abstract	Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. We proposed a test verifying the randomness of classical and quantum random number generators by running the National Institute of Science and Technology (NIST) test suite. Tests intend to draw attention to whether quantum random numbers match or surpass today’s classical random numbers. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Computers typically use pseudo-random numbers generated by algorithms that produce a deterministic sequence of numbers that appear random but are predictable if the entropy of the seed is disclosed. On the other hand advantage of quantum random numbers is that they are generated based on the inherent uncertainty of quantum mechanics, which means they are truly random and unpredictable. This makes them ideal for cryptographic purposes, as attackers cannot easily guess or reproduce them. 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