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We develop the software , protocols and AI that will enable secure, intelligent and scalable quantum networks. The solutions are intended for network designers and network operators, software developers, quantum computing industry, large system planners like 7G networks, government and defense, banking institutions, and large data banks.

Solutions include: Quantum sensing protocol optimization including multi-parameter estimation in centralized and distributed sensor network, quantum measurements, QUANTUM NETWORKS SYNCHRONIZATION including topology-dependent nonlinear quantum synchronization, network stability, Laplacian-guided actuator design for quantum network synchronization, actuator synthesis in imperfect quantum networks, adaptive entanglement-aware routing in multi-hop quantum networks, QUANTUM NETWORK ROUTING including adaptive routing for quantum networks, learning-augmented routing, congestion control for entanglement distribution, multi-flow quantum networks, a layered framework for entanglement access control in quantum networks QUANTUM TRANSPORT LAYER PROTOCOL including distributed and hierarchical quantum routing for large-scale networks, latency–decoherence tradeoffs in proactive entanglement distribution, distributed entanglement scheduling in multi-domain quantum networks, federated learning for quantum network state prediction, distributed QTCP with federated learning over time-varying topology-aware multi-domain quantum networks QUANTUM PROTOCOL STACK OPTIMIZATION including structure of optimal full-stack policies, distributed learning-based joint optimization of quantum network protocol stacks, learning-driven predictive cross-layer optimization, belief-aware predictive cross-layer optimization, QUANTUM NETWORK CONTROL including topology-aware predictive control in networked quantum systems, learning-augmented predictive control in time-varying quantum networks, study of fundamental limits of information-constrained quantum networking with predictive control, study of QUANTUM NETWORK CAPACITY including Holevo capacity in imperfect quantum networks , Holevo capacity in imperfect quantum networks with error correction, topology-aware adaptive quantum error correction for time-varying quantum networks QUANTUM NETWORK ON GRAPH including Entanglement graph reconfiguration under noise, topology aware entanglement graph reconfiguration in  time varying quantum networks QUANTUM NETWORK INTELLIGENCE including cognitive control of time-varying topology for adaptive quantum networks, heavy-traffic limits for adaptive quantum networks with dynamic topology control, learning–congestion tradeoffs in dynamic quantum networks, network control experience management, experience-state management, designing network intelligence, modeling the network thinking process, distributed experience-state management for multi-domain quantum communication networks

EMS Experience-State Management-LAB Overview

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QUANTUM COMPUTING  RESEARCH

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Quantum Computing and Neuroscience for 6G/7G Networks

 Quantum vs Post-Quantum Security for Future Networks: Survey

Quantum Computing in 7G Networks for Optimum Intersystem Integration:

Optimum Resource Allocation in Secure Quantum Networks

Optimum Resource Allocation in Secure Quantum Networks: Survey of Enabling Technology https://ieeexplore.ieee.org/document/11143135 

Latency-Optimal Quantum Circuits for IoT Networks doi: https://doi.org/10.1109/ACCESS.2025.3649805 https://ieeexplore.ieee.org/document/11320239 Implementation Feasibility of Experience Aided Quantum Learning in Future Networks: A Survey, Neurocomputing, Available online 30 April 2026, Page 133271 https://doi.org/10.1016/j.neucom.2026.133271 Modelling the Impact of Quantum Circuit Imperfections on Networks and Computer Applications, Cryptography and Security (cs.CR); Quantum Physics (quant-ph), https://arxiv.org/abs/2404.00062 Quantum NetworksModelling Implementation Imperfections in Quantum Network Optimizations

w1 S. Glisic, B. Lorenzo, Quantum Computing and Neuroscience for 6G/7G Networks: Survey, Intelligent Systems with Applications ISWA-D-23-00470, https://doi.org/10.1016/j.iswa.2024.200346

w2 S. Glisic, Quantum vs Post-Quantum Security for Future Networks: Survey, Cyber Security and Applications, https://doi.org/10.1016/j.csa.2024.100039

w3 Enabling Quantum Computing Technologies for Future Networks: Survey , ins-netgroup, w3, August 2025, available on request.

w3a S. Glisic, Potential Enabling Technologies for 7G Networks: Survey, arXiv:2408.11072v2 [cs.ET], Emerging Technologies (cs.ET); Quantum Physics (quant-ph), https://arxiv.org/pdf/2408.11072

w4 Optimum Resource Allocation in Secure Quantum Networks: Survey of Enabling Technology , ins-netgroup, w4, March 2023, available on request.

w5.1 S. Glisic, B. Lorenzo, Optimum 6G/7G Quantum Network Design: Survey, Optics Communications, https://doi.org/10.1016/j.optcom.2025.131883.

w5.2 Optimum Design of Quantum Satellite and  Interplanetary Network for Mars Mission, ins-netgroup, w5.2 , September 2024, available on request

w6  Glisic, Modelling the Impact of Quantum Circuit Imperfections on Networks and Computer Applications, Cryptography and Security (cs.CR); Quantum Physics (quant-ph), https://arxiv.org/abs/2404.00062

w7 Implementation Feasibility of Experience Aided Quantum Learning in 7G Networks:  A Survey, ins-netgroup, w7, August 2025, available on request

w7a.1 Micro and Macroeconomics of Quantum ML Based on Implementation Sensitivity Function ,  ins-netgroup, w7a.1 , January 2023, available on request

w7a.2 Sensitivity of Deep Quantum ML to Implementation Imperfections: Survey, ins-netgroup, w7a.2 , April 2024, available on request

w7b Intermittent Quantum Networks ins-netgroup, w7b, May 2025, available on request

w7c.1 QUANTUM GATES LIBRARY for Low Latency IoT Networks: Survey,
ins-netgroup, w7b , June 2023, available on request

w7c.2 LATENCY‐OPTIMAL QUANTUM CIRCUITS for IoT Networks,
ins-netgroup, w7c.2 , February 2023, available on request

w7e1 Propagation of Imperfections in DV Quantum Computing,
ins-netgroup, w7e1, May 2025, available on request

 

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Computer Graphics

 

 

volume 2

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The research and practical results on Quantum computers in the recent years have given a major setback to classical and widely used cryptography schemes such as  (Rivest‐Shamir‐Adleman) Algorithm and ECC (Elliptic Curve Cryptography). RSA and ECC depend on integer factorization problem and discrete logarithm problem respectively, which can be easily solved by Quantum Computers of sufficiently large size running the infamous Shor’s Algorithm. Therefore, cryptography schemes which are difficult to solve in both traditional as well as Quantum Computers need to be evaluated. This book provides a detailed survey on Post‐Quantum Cryptography schemes and emphasizes on their applicability to provide security in constrained devices. A comprehensive insight is provided into the schemes which could possibly replace RSA and ECC for security in constrained devices.
While post‐quantum cryptography is an effort to develop novel classical cryptosystems which are robust to factorization and other quantum algorithms, which is certainly one option, this does not completely solve the problem. The point is that there may be undiscovered quantum algorithms (or undiscovered classical ones) that might easily break the security of the new cryptosystems. In other words, postquantum cryptography is likely to offer only a partial and temporary solution to the problem. By contrast, quantum key distribution (QKD), discussed also in this book, offers the ultimate solution: restoring security and confidentiality by resorting to unbreakable principles of nature, such as the uncertainty principle or the monogamy of entanglement
Even though QKD offers the ultimate solution to the security problem, its ideal implementation is hard to implement in practice and there are a number of open problems to be addressed. On one side, fully‐device independent QKD protocols provide the highest level of quantum security but they are quite demanding to realize and are characterized by extremely low secret key rates. On the other hand, more practical QKD protocols assume some level of trust in their devices, an assumption that allows them to achieve reasonable rates, but this also opens the possibility of dangerous side‐channel attacks.
Besides a trade‐off between security and rate, there is also another important one which is between rate and distance. Today, we know that there is a fundamental limit which restricts any point to point implementation of QKD. Given a lossy link with transmissivity , two parties cannot distribute more than the secret key capacity of the channel, which is  i.e.,  scaling of  secret bits per channel use at long distance. Ideal implementations of QKD protocols based on continuous‐variable systems and Gaussian states  may approach this capacity  while those based on discrete variables falls below by additional factors. In order to overcome this limit and enable long‐distance high‐rate implementations of QKD, we need the develop quantum repeaters and quantum networks  In this way, we may achieve better long‐distance scaling and further boost the rates by resorting to more complex routing strategies. The study of quantum repeaters and secure QKD networks is one of the hottest topics today which is also covered in this book. The book aims at providing an overview of the most important and most recent advances in the field of quantum cryptography, both theoretically and experimentally.
In near term, we expect that quantum security and QKD will be competing with so called post quantum security solutions and for this reason here we discuss in details pros and cons of each technology. Design solutions and quantum physics are also included in the book.
When it comes to using the book for undergrade and postgraduate courses we incorporate a number of DESIGN EXAMPLES to replace the classical concept of using “problems and solutions” addendums at the end of the chapters/book. This enables using more sophisticated assignments for the teamwork of the students. Our students have shown great enthusiasm for such approach.
In addition to universities the professionals in research, industry and regulatory institutions should benefit from the comprehensive coverage of the book.