Journal Papers
[103] Laszlo Gyongyosi, Sandor Imre: Subchannel Estimation and Subcarrier Detection for Mul-tiuser Multicarrier Continuous-Variable Quantum Key Distribution, Quantum Eng, 2022.
[102] Laszlo Gyongyosi: Approximation Method for Optimization Problems in Gate-Model Quan-tum Computers, Chaos, Solitons Fractals, DOI: 10.1016/j.csfx.2021.100066, 2021.
[101] Laszlo Gyongyosi, Sandor Imre: Advances in the Quantum Internet,Communications of the ACM, DOI: 10.1145/3524455, 2022.
[100] Laszlo Gyongyosi: Post-Processing Optimization for Continuous-Variable Quantum Key Dis-tribution, Theor. Comput. Sci., DOI: 10.1016/j.tcs.2021.08.023, 2021.
[99] Laszlo Gyongyosi, Sandor Imre: Scalable Distributed Gate-Model Quantum Computers, Sci-entific Reports, Nature, DOI: 10.1038/s41598-020-76728-5, 2021.
[98] Laszlo Gyongyosi, Sandor Imre: Resource Prioritization and Balancing for the Quantum Internet,Scientific Reports, Nature, DOI: 10.1038/s41598-020-78960-5, 2020.
[97] Laszlo Gyongyosi: Energy Transfer and Thermodynamics of Quantum Gravity Computation, Chaos, Solitons and Fractals, DOI: 10.1016/j.csfx.2020.100050, 2020.
[96] Laszlo Gyongyosi: Dynamics of Entangled Networks of the Quantum Internet, Scientific Reports, Nature, DOI: 10.1038/s41598-020-68498-x, 2020.
[95] Laszlo Gyongyosi: Decoherence Dynamics Estimation for Superconducting Gate-Model Quan-tum Computers, Quantum Information Processing, Springer Nature, DOI: 10.1007/s11128-020-02863-7, 2020.
[94] Laszlo Gyongyosi, Sandor Imre: Routing Space Exploration for Scalable Routing in the Quan-tum Internet, Scientific Reports, Nature, DOI: 10.1038/s41598-020-68354-y, 2020.
[93] Laszlo Gyongyosi: Objective Function Estimation for Solving Optimization Problems in Gate-Model Quantum Computers, Scientific Reports, Nature, DOI: 10.1038/s41598-020-71007-9, 2020.
[92] Laszlo Gyongyosi, Sandor Imre: Entanglement Concentration Service for the Quantum Inter-net, Quantum Information Processing, Springer Nature, DOI: 10.1007/s11128-020-02716-3, 2020.
[91] Laszlo Gyongyosi: Unsupervised Quantum Gate Control for Gate-Model Quantum Comput-ers,Scientific Reports, Nature, DOI: 10.1038/s41598-020-67018-1, 2020.
[90] Laszlo Gyongyosi, Sandor Imre: Circuit Depth Reduction for Gate-Model Quantum Com-puters, Scientific Reports, Nature, DOI: 10.1038/s41598-020-67014-5, 2020.
[89] Laszlo Gyongyosi: Quantum State Optimization and Computational Pathway Evaluation for Gate-Model Quantum Computers, Scientific Reports, Nature, DOI: 10.1038/s41598-020-61316-4, 2020.
[88] Laszlo Gyongyosi, Sandor Imre: Entanglement Accessibility Measures for the Quantum In-ternet, Quantum Information Processing, Springer Nature, DOI: 10.1007/s11128-020-2605-y, 2020.
[87] Laszlo Gyongyosi, Sandor Imre: Theory of Noise-Scaled Stability Bounds and Entanglement Rate Maximization in the Quantum Internet,Scientific Reports, Nature, DOI: 10.1038/s41598-020-58200-6, 2020.
[86] Laszlo Gyongyosi: Correlation Measure Equivalence in Dynamic Causal Structures of Quan-tum Gravity, Quantum Eng., Wiley, DOI: 10.1002/QUE2.30, 2019.
[85] Laszlo Gyongyosi: Order Statistics and Random Matrix Theory of Multicarrier Continuous-Variable Quantum Key Distribution, Int. J. Commun. Syst., Wiley, DOI:10.1002/dac.4314, 2019.
[84] Laszlo Gyongyosi, Sandor Imre: Optimizing High-Efficiency Quantum Memory with Quan-tum Machine Learning for Near-Term QuanQuan-tum Devices, Scientific Reports, Nature, DOI:
10.1038/s41598-019-56689-0, 2019.
[83] Laszlo Gyongyosi: Multicarrier Continuous-Variable Quantum Key Distribution, Theoretical Computer Science, Elsevier, DOI: 10.1016/j.tcs.2019.11.026, 2019.
[82] Laszlo Gyongyosi, Sandor Imre: Theory of Quantum Gravity Information Processing, Quan-tum Eng., Wiley, DOI: 10.1002/que2.23, 2019.
[81] Laszlo Gyongyosi, Sandor Imre: Subcarrier Domain of Multicarrier Continuous-Variable Quantum Key Distribution,J. Stat. Phys., Springer Nature, DOI: 10.1007/s10955-019-02404-2, 2019.
[80] Laszlo Gyongyosi, Sandor Imre: High-Retrieval Efficiency Quantum Memory for the Quantum Internet,SPIE Photonics West OPTO 2020 Proceedings, 2020.
[79] Laszlo Gyongyosi, Sandor Imre: Training Optimization for Gate-Model Quantum Neural Networks,Scientific Reports, Nature, DOI: 10.1038/s41598-019-48892-w, 2019.
[78] Laszlo Gyongyosi, Sandor Imre: Secret Key Rate Adaption for Multicarrier Continuous-Variable Quantum Key Distribution,SN Comput. Sci., Springer Nature, DOI: 10.1007/s42979-019-0027-7, 2019.
[77] Laszlo Gyongyosi, Sandor Imre: State Stabilization for Gate-Model Quantum Computers, Quantum Information Processing, Springer Nature, DOI: 10.1007/s11128-019-2397-0, 2019.
[76] Laszlo Gyongyosi, Sandor Imre: A Poisson Model for Entanglement Optimization in the Quantum Internet,Quantum Information Processing, Springer Nature, DOI: 10.1007/s11128-019-2335-1, 2019.
[75] Laszlo Gyongyosi, Sandor Imre: Statistical Quadrature Evolution by Inference for Multicar-rier Continuous-Variable Quantum Key Distribution, Quantum Studies: Mathematics and Foundations, Springer Nature, DOI: 10.1007/s40509-019-00202-9, 2019.
[74] Laszlo Gyongyosi: Singular Value Decomposition Assisted Multicarrier Continuous-Variable Quantum Key Distribution,Theoretical Computer Science, Elsevier, DOI: 10.1016/j.tcs.2019.07.029, 2019.
[73] Laszlo Gyongyosi, Sandor Imre: Secret Key Rates of Free-Space Optical Continuous-Variable Quantum Key Distribution,Int. J. Commun. Syst. (Wiley), DOI: 10.1002/dac.4152, 2019.
[72] Laszlo Gyongyosi, Laszlo Bacsardi, Sandor Imre: A Survey on Quantum Key Distribution, Infocom. J., HTE, IEEE Communications Society, DOI: 10.36244/ICJ.2019.2.2, 2019.
[71] Laszlo Gyongyosi, Sandor Imre: Quantum Circuit Design for Objective Function Maximiza-tion in Gate-Model Quantum Computers,Quantum Information Processing, Springer Nature, DOI: 10.1007/s11128-019-2326-2, 2019.
[70] Laszlo Gyongyosi, Sandor Imre: Dense Quantum Measurement Theory, Scientific Reports, Nature, DOI: 10.1038/s41598-019-43250-2, 2019.
[69] Laszlo Gyongyosi, Sandor Imre: Diversity Space of Multicarrier Continuous-Variable Quan-tum Key Distribution, Int. J. Commun. Syst. (Wiley), DOI: 10.1002/dac.4003, 2019.
[68] Laszlo Gyongyosi, Sandor Imre: Entanglement Access Control for the Quantum Internet, Quantum Information Processing, Springer Nature, DOI: 10.1007/s11128-019-2226-5, 2019.
[67] Laszlo Gyongyosi, Sandor Imre: Gaussian Quadrature Inference for Multicarrier Continuous-Variable Quantum Key Distribution,Quantum Studies: Mathematics and Foundations, Springer Nature, DOI: 10.1007/s40509-019-00183-9, 2019.
[66] Laszlo Gyongyosi, Sandor Imre: Opportunistic Entanglement Distribution for the Quantum Internet,Scientific Reports, Nature, DOI:10.1038/s41598-019-38495-w, 2019.
[65] Laszlo Gyongyosi, Sandor Imre: Adaptive Routing for Quantum Memory Failures in the Quantum Internet,Quantum Information Processing, Springer Nature, DOI: 10.1007/s11128-018-2153-x, 2018.
[64] Laszlo Gyongyosi, Sandor Imre: Time Complexity Reduction for Gate-Model Quantum Com-puters, SPIE Quantum Information Science, Sensing, and Computation Proceedings, 2019.
[63] Laszlo Gyongyosi, Sandor Imre: A Survey on Quantum Computing Technology, Computer Science Review, Elsevier, DOI: 10.1016/j.cosrev.2018.11.002, ISSN: 1574-0137, 2018.
[62] Laszlo Gyongyosi, Sandor Imre: Secret Key Rate Proof of Multicarrier Continuous-Variable Quantum Key Distribution,Int. J. Commun. Syst. (Wiley), DOI: 10.1002/dac.3865, ISSN:
1099-1131, 2018.
[61] Laszlo Gyongyosi, Sandor Imre: Reconciliation Optimization for Continuous-Variable Quan-tum Key Distribution, SPIE Photonics West OPTO 2019 Proceedings.
[60] Laszlo Gyongyosi, Sandor Imre: Topology Adaption for the Quantum Internet, Quantum Information Processing, Springer Nature, DOI:10.1038/s41598-018-30957-x, ISSN: 1570-0755, 1573-1332, 2018.
[59] Laszlo Gyongyosi, Sandor Imre: Multilayer Optimization for the Quantum Internet,Scientific Reports, Nature, DOI:10.1038/s41598-018-30957-x, 2018.
[58] Laszlo Gyongyosi, Sandor Imre: Decentralized Base-Graph Routing for the Quantum In-ternet, Physical Review A, American Physical Society, DOI: 10.1103/PhysRevA.98.022310, 2018.
[57] Laszlo Gyongyosi, Sandor Imre: Entanglement Availability Differentiation Service for the Quantum Internet,Scientific Reports, Nature, DOI:10.1038/s41598-018-28801-3, 2018.
[56] Laszlo Gyongyosi, Sandor Imre: Multiple Access Multicarrier Continuous-Variable Quantum Key Distribution, Chaos, Solitons and Fractals, Elsevier, DOI: 10.1016/j.chaos.2018.07.006, ISSN: 0960-0779, 2018.
[55] Laszlo Gyongyosi, Sandor Imre, Hung Viet Nguyen: A Survey on Quantum Channel Capaci-ties,IEEE Communications Surveys and Tutorials, IEEE, DOI: 10.1109/COMST.2017.2786748, 2018.
[54] Laszlo Gyongyosi, Sandor Imre: Low-Dimensional Reconciliation for Continuous-Variable Quantum Key Distribution,Appl. Sci., DOI: 10.3390/app8010087, ISSN 2076-3417, 2018.
[53] Laszlo Gyongyosi, Sandor Imre: A Poisson Model for Entanglement Optimization in the Quantum Internet, 2018 SPIE Quantum Information Science, Sensing, and Computation Proceedings, 2018.
[52] Laszlo Gyongyosi, Sandor Imre: Dynamic Topology Resilience for Quantum Networks, 2018 SPIE Photonics West OPTO Proceedings, 2018.
[51] Laszlo Gyongyosi, Sandor Imre: Entanglement-Gradient Routing for Quantum Networks, Scientific Reports, Nature, DOI:10.1038/s41598-017-14394-w, 2017.
[50] Laszlo Gyongyosi: Quantum Imaging of High-Dimensional Hilbert Spaces with Radon Trans-form, International Journal of Circuit Theory and Applications (IJCTA), Special Issue on Quantum Circuits (Wiley), 2017.
[49] Laszlo Gyongyosi, with S. Imre, A. Mraz, Zs. Kis, L. Bacsardi: Quantum Circuit-based Modeling of Continuous-Variable Quantum Key Distribution System, International Journal of Circuit Theory and Applications (IJCTA), Special Issue on Quantum Circuits (Wiley), 2017.
[48] Laszlo Gyongyosi, Sandor Imre: Statistical Quadrature Evolution by Inference for Continuous-Variable Quantum Key Distribution, SPIE Photonics West OPTO 2017 Proceedings, “Ad-vances in Photonics of Quantum Computing, Memory, and Communication X”, 2016.
[47] Laszlo Gyongyosi, Sandor Imre: Gaussian Quadrature Inference for Continuous-Variable Quantum Key Distribution, Proceedings of SPIE Quantum Information and Computation IX, 2016.
[46] Laszlo Gyongyosi, Sandor Imre: Adaptive Gaussian Quadrature Detection for Continuous-Variable Quantum Key Distribution, SPIE Photonics West OPTO 2016 Proceedings, “Ad-vances in Photonics of Quantum Computing, Memory, and Communication IX”, 2015.
[45] Laszlo Gyongyosi, Sandor Imre: Multidimensional Manifold Extraction for Multicarrier Continuous-Variable Quantum Key Distribution, Proceedings of SPIE Quantum Information and Com-putation XIII, 2015.
[44] Laszlo Gyongyosi: A Statistical Model of Information Evaporation of Perfectly Reflecting
Black Holes,International Journal of Quantum Information(IJQI), DOI: 10.1142/S0219749915600254, 2014.
[43] Laszlo Gyongyosi: The Private Classical Capacity of a Partially Degradable Quantum Chan-nel, Physica Scripta - Special Issue on Quantum Information, Institute of Physics (IOP), Online ISSN: 1402-4896 Print ISSN: 0031-8949, 2014.
[42] Laszlo Gyongyosi, Sandor Imre: Eigenchannel Decomposition for Continuous-Variable Quan-tum Key Distribution,SPIE Photonics West OPTO 2015 Proceedings,“Advances in Photon-ics of Quantum Computing, Memory, and Communication VIII”,2015.
[41] Laszlo Gyongyosi: The Structure and Quantum Capacity of a Partially Degradable Quantum Channel,IEEE Access, ISSN: 2169-3536, 2014.
[40] Laszlo Gyongyosi, Sandor Imre: Geometrical Analysis of Physically Allowed Quantum Cloning Transformations for Quantum Cryptography,Information Sciences, ELSEVIER, ISSN: 0020-0255; (2014).
[39] Laszlo Gyongyosi: Quantum Information Transmission over a Partially Degradable Channel, IEEE Access, ISSN: 2169-3536 (2014).
[38] Laszlo Gyongyosi: The Correlation Conversion Property of Quantum Channels, Quantum Information Processing, ISSN: 1570-0755 (print version), ISSN: 1573-1332 (electronic version).
2013.
[37] Laszlo Gyongyosi, Sandor Imre: Adaptive Multicarrier Quadrature Division Modulation for Continuous-Variable Quantum Key Distribution,Proceedings of SPIE Quantum Information and Computation XII, 2014.
[36] Laszlo Gyongyosi, Sandor Imre: Long-distance Continuous-Variable Quantum Key Distribu-tion with Advanced ReconciliaDistribu-tion of a Gaussian ModulaDistribu-tion,Proceedings of SPIE Photonics West OPTO 2013, ,,Advances in Photonics of Quantum Computing, Memory, and Commu-nication VII”, 2014.
[35] Laszlo Gyongyosi, Sandor Imre: Distillable Entanglement from Classical Correlation, Pro-ceedings of SPIE Quantum Information and Computation XI, 2013.
[34] Laszlo Gyongyosi, Sandor Imre: Opening of Hidden Capacity-Domains of Quantum Chan-nels,Proceedings of SPIE Photonics West OPTO 2013, ,,Advances in Photonics of Quantum Computing, Memory, and Communication VI”, 2013.
[33] Laszlo Gyongyosi, Sandor Imre: Polaractivation for Classical Zero-Error Capacity of Qu-dit Channels, American Institute of Physics (AIP) Proceedings, Quantum Communication, Measurement and Computing (QCMC 2012), 2013.
[32] Laszlo Gyongyosi, Sandor Imre: Reliable Quantum Communication over a Quantum Re-lay Channel, American Institute of Physics (AIP) Proceedings, Quantum Communication, Measurement and Computing (QCMC 2012), 2013.
[31] Laszlo Gyongyosi, Sandor Imre: Quasi-Superactivation for the Classical Capacity of Quan-tum Channels,American Institute of Physics (AIP) Proceedings, Quantum Communication, Measurement and Computing (QCMC 2012), 2013.
[30] Laszlo Gyongyosi, Sandor Imre: Superactivation of Quantum Channels is Limited by the Quantum Relative Entropy Function, Quantum Information Processing, ISSN: 1570-0755 (print version), ISSN: 1573-1332 (electronic version). 2012.
[29] Laszlo Gyongyosi, Sandor Imre: Quasi-Superactivation of Classical Capacity of Zero-Capacity Quantum Channels,Journal of Modern Optics, Taylor and Francis, 0950-0340 (Print), 1362-3044 (Online). 2012.
[28] Laszlo Gyongyosi, Sandor Imre: Private Quantum Coding for Quantum Relay Networks, Lecture Notes in Computer Science, Vol. 7479, pp. 239-250. Springer Verlag, 2012.
[27] Laszlo Gyongyosi, Sandor Imre: Quantum Communication with Optical Channels, Proceed-ings of the IEEE, ISSN: 0018-9219. (in prep.)
[26] Laszlo Gyongyosi, Sandor Imre: Polaractivation of Private Capacity-Domain of Non-Private Quantum Channels, American Institute of Physics (AIP) Proceedings, Quantum Theory:
Reconsideration of Foundations 6, USA, 2012.
[25] Laszlo Gyongyosi, Sandor Imre: Mathematical Limit in the Superactivation of Zero-Capacity Quantum Channels, American Institute of Physics (AIP) Proceedings, Quantum Theory:
Reconsideration of Foundations 6, USA, 2012.
[24] Laszlo Gyongyosi, Sandor Imre: Classical Communication over Zero-Capacity Quantum Channels, American Institute of Physics (AIP) Proceedings, Quantum Theory: Reconsid-eration of Foundations 6, USA, 2012.
[23] Sandor Imre, Laszlo Gyongyosi: Introduction to Quantum-assisted and Quantum-based So-lutions, with Lajos Hanzo, Harald Haas, Dominic O’Brien and Markus Rupp, in: ,,Prolog to the Section on Wireless Communications Technology”,Proceedings of the IEEE, 100th Year Anniversary Celebration Volume of the Proceedings of the IEEE (Special Centennial Cel-ebration Issue: Reviewing the Past, the Present, and the Future of Electrical Engineering Technology and the Profession), ISSN: 0018-9219. 2012.
[22] Sandor Imre, Laszlo Gyongyosi: Quantum-assisted and Quantum-based Solutions in Wireless Systems, with Lajos Hanzo, Harald Haas, Dominic O’Brien and Markus Rupp, in: ,,Wireless Myths, Realities and Futures: From 3G/4G to Optical and Quantum Wireless”,Proceedings of the IEEE, 100th Year Anniversary Celebration Volume of the Proceedings of the IEEE (Special Centennial Celebration Issue: Reviewing the Past, the Present, and the Future of Electrical Engineering Technology and the Profession), ISSN: 0018-9219. 2012.
[21] Laszlo Gyongyosi, Sandor Imre: Information Geometric Superactivation of Classical Zero-Error Capacity of Quantum Channels, Progress in Informatics, Quantum Information Tech-nology, Quantum Information Science Theory Group, National Institute of Informatics (NII), Tokyo, Japan, Print ISSN: 1349-8614, Online ISSN: 1349-8606; 2011.
[20] Laszlo Gyongyosi, Sandor Imre: Long-Distance Quantum Communications with Superac-tivated Gaussian Optical Quantum Channels, SPIE Optical Engineering, ISSN: 0091-3286, E-ISSN: 1560-2303; USA, 2011.
[19] Laszlo Gyongyosi, Sandor Imre: Algorithmic Superactivation of Asymptotic Quantum Ca-pacity of Zero-CaCa-pacity Quantum Channels, Information Sciences,Informatics and Computer Science Intelligent Systems Applications, ELSEVIER, ISSN: 0020-0255; 2011.
[18] Laszlo Gyongyosi, Sandor Imre: Capacity Recovery of Very Noisy Optical Quantum Channels, International Journal of Applied Mathematics and Informatics, University Press, ISSN: 2074-1278, United Kingdom; 2011.
[17] Laszlo Gyongyosi, Sandor Imre: Information Geometrical Analysis of Additivity of Opti-cal Quantum Channels, IEEE/OSA Journal of Optical Communications and Networking (JOCN), IEEE Photonics Society and Optical Society of America, ISSN: 1943-0620; 2010.
[16] Laszlo Gyongyosi, Sandor Imre: Algorithmical Analysis of Information-Theoretic Aspects of Secure Communication over Optical-Fiber Quantum Channels,Journal of Optical and Fiber Communications Research, Springer New York, ISSN 1867-3007 (Print) 1619-8638 (Online);
2010.
[15] Laszlo Gyongyosi, Sandor Imre: Information Geometric Security Analysis of Differential Phase Shift QKD Protocol, Security and Communication Networks, John Wiley and Sons, Ltd. ISSN: 1939-0114; 2010.
[14] Laszlo Gyongyosi, Sandor Imre: Novel Quantum Information Solution to Copy-Protection and Secured Authentication, International Journal of Internet Technology and Secured Transac-tions (IJITST), ISSN (Online): 1748-5703, ISSN (Print): 1748-569X; 2011.
[13] Laszlo Gyongyosi, Sandor Imre: Informational Geometric Analysis of Superactivation of Asymptotic Quantum Capacity of Zero-Capacity Optical Quantum Channels, Proceedings of SPIE Photonics West OPTO 2011, ISBN: 9780819484857, Vol: 7948.
[12] Laszlo Gyongyosi, Sandor Imre: Information Geometric Solution to Additivity of Amplitude-Damping Quantum Channel,AIP Conference Proceedings of QCMC 2010, American Institute of Physics, AIP Conference Proceedings Series (Library of Congress), 2011.
[11] Laszlo Gyongyosi, Sandor Imre: Quantum Informational Divergence in Quantum Channel Security Analysis, International Journal of Network Security, ISSN 353X, ISSN 1816-3548; 2011.
[10] Laszlo Gyongyosi, Sandor Imre: Efficient Computational Information Geometric Analysis of Physically Allowed Quantum Cloning Attacks for Quantum Key Distribution Protocols, Trans-actions on Communications (WS), ISSN: 1109-2742; 2010.
[9] Laszlo Gyongyosi, Sandor Imre: Information Geometrical Approximation of Quantum Chan-nel Security, International Journal on Advances in Security, Published by: International Academy, Research and Industry Association, ISSN: 1942-2636; 2010.
[8] Laszlo Gyongyosi, Sandor Imre: Geometrical Estimation of Information Theoretical Impacts of Incoherent Attacks for Quantum Cryptography, International Review of Physics, Print ISSN: 1971 - 680X; 2010.
[7] Laszlo Gyongyosi, Sandor Imre: Quantum Singular Value Decomposition Based Approxima-tion Algorithm,Journal of Circuits, Systems, and Computers (JCSC), World Scientific, Print ISSN: 0218-1266, Online ISSN: 1793-6454; 2010.
[6] Laszlo Gyongyosi, Sandor Imre: Quantum Information Theoretical Based Geometrical Repre-sentation of Eavesdropping Activity on the Quantum Channel,Infocommunications Journal, Scientific Association for Infocommunications, ISSN 0018-2028; 2010.
[5] Laszlo Gyongyosi, Sandor Imre: Quantum Protected Software,International Review on Com-puters and Software, ISSN:1828-6003, 1828-6011; 2009.
[4] Laszlo Gyongyosi, Sandor Imre: Quantum cryptography based info-communication systems, Infocommunications Technology, Scientific Association for Infocommunications, BME, Fac-ulty of Electrical Engineering and Informatics, Department of Telecommunications, 2008.
ISSN 0018-2028; BEST PAPER AWARD 2009 - ,,POLLAK-VIRAG” - from the Scientific Association for Infocommunication, Hungary.
[3] Laszlo Gyongyosi: Quantum information in data privacy, Alma Mater series, Studies on Information and Knowledge Processes: Open Data, Protected Data 2, pages 341–378., BME, Faculty of Economic and Social Sciences, ISSN 1587-2386, ISBN 798-963-87788-5-7; 2008 [2] Sandor Szabo, Laszlo Gyongyosi, Sandor Imre: Performance Evaluation of Anycast-Based
Micro-mobility Management,Int. J. of Mobile Network Design and Innovation (IJMNDI).
[1] Laszlo Gyongyosi: TOR and Torpark: Functional and performance analyses of new generation anonymous browsers, Alma Mater series, Studies on Information and Knowledge Processes 11, pages 159-191., BME, Faculty of Economic and Social Sciences, 2007. ISSN 1587-2386, ISBN-10 963-421-429-0, ISBN-13 987-963-421-429-8. Published on-line: Hungarian privacy Enhancing Technologies portal, webpage: http://pet-portal.eu
Books
[2] Sandor Imre and Laszlo Gyongyosi: Advanced Quantum Communications - An Engineering Approach, Publisher: Wiley-IEEE Press (New Jersey, USA), John Wiley and Sons, Inc., The Institute of Electrical and Electronics Engineers, (2013).
[1] Laszlo Gyongyosi, Sandor Imre: Quantum Mechanics based Communications, Research Uni-versity series, Budapest University of Technology and Economics, (2012).
Book Chapters
[6] Laszlo Gyongyosi: Algorithmic Superactivation of Zero-Capacity Quantum Channels, Printed book version of my PhD Dissertation, available at Amazon.com, (2013).
[5] Laszlo Gyongyosi, Sandor Imre: Quantum Cryptographic Protocols and Quantum Security, inCryptography: Protocols, Design and Applications, Nova Science Publishers, USA. (2012).
[4] Laszlo Gyongyosi, Sandor Imre: Secure Long-Distance Quantum Communication over Noisy Optical Fiber Quantum Channels, in Optical Fibers, INTECH, ISBN 978-953-307-922-6;
(2011).
[3] Laszlo Gyongyosi, Sandor Imre: Quantum Cellular Automata Controlled Self-Organizing Networks, in Cellular Automata, INTECH, ISBN 978-953-7619-X-X; (2010).
[2] Laszlo Bacsardi, Laszlo Gyongyosi, Marton Berces, Sandor Imre: Quantum Solutions for Future Space Communication, in Quantum Computers, Nova Science Publishers, (2010).
[1] Sandor Szabo, Laszlo Gyongyosi, Karoly Lendvai, Sandor Imre: Overview of IP Multimedia Subsystem Protocols and Communication Services, in Advanced Communication Protocol Technologies: Solutions, Methods and Applications, (2010).
Conference Papers
[133] Laszlo Gyongyosi, Sandor Imre: Scalable Distributed Gate-Model Quantum Computers, Bul-letin of the American Physical Society, APS March Meeting 2022, Session on Scalable Quan-tum Computing Architectures, March 14–18, 2022, Chicago, USA.
[132] Laszlo Gyongyosi, Sandor Imre: Problem Solving Dynamics for Gate-Model Quantum Com-puters,Proceedings of SPIE Quantum Information Science, Sensing, and Computation XIV, 3 - 7 April 2022, Orlando, Florida, USA.
[131] Laszlo Gyongyosi, Sandor Imre: Resource Optimization for the Quantum Internet, Proceed-ings of Quantum Computing, Communication, and Simulation II, SPIE OPTO 2022, 22 - 27 Jan 2022, San Francisco, California, USA.
[130] Laszlo Gyongyosi, Sandor Imre: Distributed Quantum Computation for Near-Term Quantum Environments, Proceedings of SPIE Quantum Information Science, Sensing, and Computa-tion XIII, 11 - 15 April 2021, Orlando, Florida, USA.
[129] Laszlo Gyongyosi, Sandor Imre: Entangled Network Dynamics of the Quantum Internet, Pro-ceedings of Advanced Optical Techniques for Quantum Information, Sensing, and Metrology, SPIE OPTO 2021, 6 - 11 March 2021, San Francisco, California, USA.
[128] Laszlo Gyongyosi, Sandor Imre: Scalable Distributed Gate-Model Quantum Computers, Pro-ceedings of the Frontiers in Optics 2020 (FiO 2020), Optical Society of America (OSA), 14-17 Sept. 2020, Washington, D.C., USA.
[127] Laszlo Gyongyosi, Sandor Imre: Quantifying the Dynamics of Entangled Networks of the Quantum Internet, Proceedings of the Frontiers in Optics 2020 (FiO 2020), Optical Society of America (OSA), 14-17 Sept. 2020, Washington, D.C., USA.
[126] Laszlo Gyongyosi, Sandor Imre: Quantum Memory Optimization with Quantum Machine Learning for Quantum Secure Direct Communication, Proceedings of the 10th International Conference on Quantum Cryptography (QCrypt 2020), 10-14 Aug 2020, Amsterdam, Nether-lands.
[125] Laszlo Gyongyosi, Sandor Imre: Training Optimization for Gate-Model Quantum Neural Net-works,Bulletin of the American Physical Society, APS DAMOP 2020, 51st Annual Meeting of the APS Division of Atomic, Molecular and Optical Physics, Session on Quantum Compu-tation: Gates, Algorithms, and Architectures, June 1–5, 2020; Portland, Oregon, USA.
[124] Laszlo Gyongyosi, Sandor Imre: Objective Function Maximization by Machine Learning for Gate-Model Quantum Computers, Proceedings of Quantum Information Science, Sensing, and Computation XII, SPIE Defense, 26 - 30 April 2020, Anaheim, California, USA.
[123] Laszlo Gyongyosi, Sandor Imre: Time Complexity Reduction for Gate-Model Quantum Com-puters, Bulletin of the American Physical Society, APS March Meeting 2020, Session on General Quantum Algorithms, March 2 - 6, 2020, Denver, Colorado, USA.
[122] Laszlo Gyongyosi, Sandor Imre: High-Retrieval Efficiency Quantum Memory for the Quantum Internet,Proceedings of Advanced Optical Techniques for Quantum Information, Sensing, and Metrology, SPIE OPTO 2020, 1 - 6 February 2020, San Francisco, California, USA.
[121] Laszlo Gyongyosi, Sandor Imre: Training Optimization for Gate-Model Quantum Neural Networks,Proceedings of Quantum Information Processing 2020 (QIP 2020), January 06-10, 2020, Shenzhen, China.
[120] Laszlo Gyongyosi, Sandor Imre: Dense Quantum Measurement Theory,Proceedings of Quan-tum Information Processing 2020 (QIP 2020), January 06-10, 2020, Shenzhen, China.
[119] Laszlo Gyongyosi, Sandor Imre: Resource Prioritization and Resource Balancing for the Quantum Internet, Proceedings of the Frontiers in Optics 2019 (FiO 2019), Optical Society of America (OSA), 15-19 Sept. 2019, Washington, D.C., USA.
[118] Laszlo Gyongyosi, Sandor Imre: Measurement Optimization for Gate-Model Quantum Com-puters, Proceedings of the Frontiers in Optics 2019 (FiO 2019), Optical Society of America (OSA), 15-19 Sept. 2019, Washington, D.C., USA.
[117] Laszlo Gyongyosi, Sandor Imre: Secret Key Reconciliation for Long-Distance Quantum Key Distribution with Discrete and Continuous Variables, Proceedings of the 9th International Conference on Quantum Cryptography (QCrypt 2019), 26-30 Aug. 2019, Montreal, Canada.
[116] Laszlo Gyongyosi, Sandor Imre: Optimization of Objective Function Estimation for Gate-Model Quantum Computers,Bulletin of the American Physical Society, APS DAMOP 2019, 50th Annual Meeting of the APS Division of Atomic, Molecular and Optical Physics, Session on Quantum simulation and algorithms, May 27–31, 2019; Milwaukee, Wisconsin, USA.
[115] Laszlo Gyongyosi, Sandor Imre: Dense Measurements for Gate-Model Quantum Computers, Bulletin of the American Physical Society, APS March Meeting 2019, Session on General Quantum Information and Quantum Computation, March 4–8, 2019; Boston, Massachusetts, USA.
[114] Laszlo Gyongyosi, Sandor Imre: Time Complexity Reduction for Gate-Model Quantum
[114] Laszlo Gyongyosi, Sandor Imre: Time Complexity Reduction for Gate-Model Quantum