Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Journal of Knowledge Dynamics.

INFORMATICS TECHNOLOGIES IN SCIENTIFIC DIPLOMACY, IN THE CONTEXT OF CLASSICAL AND CYBER DIPLOMACY

Bogdan Țigănoaia, Petrisor-Ionut ANGHEL

Published Jun 16, 2026• 1 citation
Publisher

Abstract

The paper presents the results of the authors' research for 14 months within a project funded by the Romanian Academy of Scientists. The design, implementation and testing of a decentralized web3 platform, based on Blockchain technologies – including smart contracts and Quantum, useful for education and diplomacy, is presented. The platform can also be used for knowledge management - for explicit knowledge flows. Our architecture allows quantum-enhanced authentication – offering an experimental, but future-oriented alternative to completely classical systems. It consists of a modular, layered structure, which includes the components: frontend, backend, quantum service integration, decentralized storage (IPFS) and blockchain registry. The platform is implemented and tested using several work scenarios. The paper demonstrates the efficacy of a decentralized academic infrastructure capable of harmonizing hybrid security paradigms with distributed storage technologies. Theoretically and technically, the major contribution of this work lies in the transition from a theoretical model to a fully operational system validated through an end-to-end workflow.

DOI
10.56082/jkd.2026.1.31

Related papers

A Resilient and Decentralized System Based on Blockchain and Quantum-Secure Communication for Cyber and Strategic Diplomacy

Bogdan Țigănoaia, Ionut-Petrisor Anghel, Constantin Brătianu +1 more

This paper proposes, implements and tests a resilient and decentralized system based on blockchain and quantum-secure communication for cyber, scientific, and strategic diplomacy. By introducing a dynamic post-quantum cryptographic binding layer, the proposed architecture significantly amplifies organizational resilience against sovereign-state data disruption and harvesting attempts within highly adversarial environments. The system guarantees end-to-end transparency and confidentiality in the sharing of resources, and it can be used in resilient organizations and for cyber, scientific, and strategic diplomacy. It integrates the following technologies and modules: blockchain technology with a semantic distribution of quantum keys, a frontend interface built exclusively with React, a backend module implemented in Python Flask 3.1.2 and served via Gunicorn 25.0.3, and a set of modular components dedicated to blockchain, quantum simulation, and distributed storage. Moving past theoretical bounds, this work presents structural Threat Models, real-world deployment parameters for Eastern European research infrastructures, and multi-variable empirical performance evaluations under authentic institutional workloads. Moreover, the proposed architecture offers an extensible foundation for the development of future resilient ecosystems supported by blockchain and quantum technologies.

Systems•Jul 1, 2026•1 citation

Leveraging Quantum Cryptography And Blockchain For Strengthened Data Security In Cloud Infrastructures

Srinivasan J., Sindhu Achuthankutty, R. Rajkumar +3 more

The rapid adoption of cloud infrastructures has intensified concerns regarding data confidentiality, integrity, and trust management, particularly in the presence of emerging quantum computing threats. Classical cryptographic mechanisms, which underpin most existing cloud security architectures, are increasingly vulnerable to quantum attacks capable of compromising public-key encryption and key exchange protocols. To address these challenges, this paper proposes a hybrid security framework that integrates Quantum Cryptography with Blockchain technology to achieve robust, future-resistant data protection in cloud environments. The proposed framework leverages Quantum Key Distribution (QKD) to enable provably secure key generation and exchange based on quantum mechanical principles, ensuring resistance against eavesdropping and computational attacks. Blockchain technology is employed to provide decentralized trust, immutable audit trails, and transparent access control across distributed cloud services. Smart contracts enforce fine-grained security policies, automate authentication, and ensure tamper-proof data access logging. The synergy between quantum cryptography and blockchain establishes a secure key lifecycle, resilient identity management, and verifiable data integrity within multi-tenant cloud infrastructures. Comprehensive security analysis demonstrates that the proposed approach effectively mitigates quantum-enabled attacks, insider threats, and single-point-of-failure vulnerabilities commonly found in traditional cloud security models. Experimental evaluation and comparative analysis highlight improvements in data integrity assurance, key management robustness, and trust transparency, with acceptable computational and communication overhead. The results indicate that integrating quantum cryptography with blockchain presents a scalable and future-proof security paradigm for next-generation cloud infrastructures.

International Journal of Artificial Intelligence and Machine Learning•Jan 1, 2026•0 citations

Quantum-Classical Hybrid Architectures for Blockchain and Contextual AI

Eman A. Sayed, Sara M. Mosaad

The convergence of quantum computing, blockchain technologies, and contextual artificial intelligence offers a transformative opportunity to meet the growing demands of secure, adaptive, and decentralized systems. However, most existing approaches focus on isolated or pairwise integrations of these technologies and do not provide a comprehensive architectural synthesis. This paper introduces a quantum-classical hybrid architecture that unifies quantum-enhanced cryptographic processing, blockchain-based trust mechanisms, and context-aware AI reasoning within a modular and interoperable system design. The proposed architecture consists of four interoperable layers: a quantum layer for cryptographic functions and computational enhancements, a classical layer for coordination and orchestration, a contextual AI layer for real-time inference and adaptation, and a blockchain layer for transparent and tamper-resistant record keeping. A key innovation of this architecture lies in its use of contextual AI models, such as transformers, to interpret dynamic environments and guide decisions across quantum and blockchain components. This paper presents use cases in healthcare, finance, and supply chain domains which are theoretical, yet based on realistic challenges and operational demands. These scenarios illustrate how each layer of the architecture contributes to practical decision-making, enhancing the feasibility of future deployments. The paper also discusses implementation challenges such as quantum hardware limitations, integration complexity, and data privacy, and outlines a trajectory for advancement through quantum middleware, explainable AI, and post-quantum cryptographic integration. By aligning emerging technologies within a unified structure, this study offers a forward-looking blueprint for secure, intelligent, and context-aware systems in decentralized environments.

Multicriteria Algorithms with Applications•Aug 2, 2025•0 citations

Building Resilient Web 3.0 Infrastructure With Quantum Information Technologies and Blockchain: An Ambilateral View

Xiaoxu Ren, Minrui Xu, Dusit Tao Niyato +5 more

Web 3.0 pursues the establishment of decentralized ecosystems through blockchain technologies, driving digital transformation in commerce and governance. With consensus algorithms and smart contracts grounded in cryptographic technologies, Web 3.0 enables secure and transparent digital services, such as digital identity, asset management, decentralized autonomous organizations (DAOs), and decentralized finance (DeFi), fostering integration between digital and physical economies. As quantum devices rapidly advance, Web 3.0 is being developed in parallel with the deployment of quantum cloud computing and quantum Internet. In this regard, quantum computing first disrupts the original cryptographic systems that protect data security while reshaping modern cryptography with enhanced quantum computing and communication capabilities. This article provides a comprehensive overview of blockchain-based Web 3.0, examining its quantum and postquantum advancements from two key perspectives. On the one hand, postquantum migration methods and quantum-resistant signatures offer robust solutions to safeguard blockchain against quantum threats. On the other hand, quantum and postquantum encryption and verification algorithms boost blockchain performance, creating a decentralized, secure, and value-driven system. Additionally, we outline potential applications of quantum blockchain and offer guidance for implementation within the Web 3.0 ecosystem. Finally, we discuss future directions for developing a provably secure and decentralized digital ecosystem.

Proceedings of the IEEE•Nov 1, 2024•14 citations

Decentralization Using Quantum Blockchain: A Theoretical Analysis

Zebo Yang, Tara Salman, Raj Kumar Jain +1 more

Blockchain technology has been prominent recently due to its applications in cryptocurrency. Numerous decentralized blockchain applications have been possible due to blockchains' nature of distributed, secured, and peer-to-peer storage. One of its technical pillars is using public-key cryptography and hash functions, which promise a secure, pseudo-anonymous, distributed storage with non-repudiation. This security is believed to be difficult to break with classical computational powers. However, recent advances in quantum computing have raised the possibility of breaking these algorithms with quantum computers, thus, threatening the blockchains' security. Quantum-resistant blockchains are being proposed as alternatives to resolve this issue. Some propose to replace traditional cryptography with post-quantum cryptography—others base their approaches on quantum computer networks or quantum internets. Nonetheless, a new security infrastructure (e.g., access control/authentication) must be established before any of these could happen. This article provides a theoretical analysis of the quantum blockchain technologies that could be used for decentralized identity authentication. We put together a conceptual design for a quantum blockchain identity framework (QBIF) and give a review of the technical evidence. We investigate its essential components and feasibility, effectiveness, and limitations. Even though it currently has various limitations and challenges, we believe a decentralized perspective of quantum applications is noteworthy and likely.

IEEE Transactions on Quantum Engineering•Jan 1, 2022•80 citations

Quantumecurecomm: Quantum-Encrypted Messaging And Ultra-Secure File Sharing In Blockchain

Geetha V, Ashish Kulkarni

This paper introduces a fully decentralized communication platform that enables secure messaging and file sharing by integrating a quantum random number generator (QRANG) to enhance cryptographic strength against future quantum threats. The proposed system leverages blockchain technology for tamper-resistant recordkeeping, distributed storage through IPFS, and end-to-end encryption using quantum-derived entropy. Unlike conventional decentralized applications that rely on classical pseudo-random number generators, our approach utilizes true quantum randomness to generate encryption keys, significantly increasing unpredictability and resistance to cryptanalytic attacks. The architecture is organized into presentation, orchestration, and data storage layers to ensure clear separation of functions and facilitate robust security. Empirical evaluation demonstrates substantial improvements in randomness quality, key security, and overall system resilience when compared to traditional methods, highlighting the effectiveness of quantum-enhanced cryptography in practical decentralized applications.

International Conference on Intelligent Computing and Communication Systems (CICCS)•Sep 18, 2025•1 citation
The paper presents the results of the authors' research for 14 months within a project funded by the Romanian Academy of Scientists. The design, implementation and testing of a decentralized web3 platform, based on Blockchain technologies – including smart contracts and Quantum, useful for education and diplomacy, is presented. The platform can also be used for knowledge management - for explicit knowledge flows. Our architecture allows quantum-enhanced authentication – offering an experimental, but future-oriented alternative to completely classical systems. It consists of a modular, layered structure, which includes the components: frontend, backend, quantum service integration, decentralized storage (IPFS) and blockchain registry. The platform is implemented and tested using several work scenarios. The paper demonstrates the efficacy of a decentralized academic infrastructure capable of harmonizing hybrid security paradigms with distributed storage technologies. Theoretically and technically, the major contribution of this work lies in the transition from a theoretical model to a fully operational system validated through an end-to-end workflow.
This paper proposes, implements and tests a resilient and decentralized system based on blockchain and quantum-secure communication for cyber, scientific, and strategic diplomacy. By introducing a dynamic post-quantum cryptographic binding layer, the proposed architecture significantly amplifies organizational resilience against sovereign-state data disruption and harvesting attempts within highly adversarial environments. The system guarantees end-to-end transparency and confidentiality in the sharing of resources, and it can be used in resilient organizations and for cyber, scientific, and strategic diplomacy. It integrates the following technologies and modules: blockchain technology with a semantic distribution of quantum keys, a frontend interface built exclusively with React, a backend module implemented in Python Flask 3.1.2 and served via Gunicorn 25.0.3, and a set of modular components dedicated to blockchain, quantum simulation, and distributed storage. Moving past theoretical bounds, this work presents structural Threat Models, real-world deployment parameters for Eastern European research infrastructures, and multi-variable empirical performance evaluations under authentic institutional workloads. Moreover, the proposed architecture offers an extensible foundation for the development of future resilient ecosystems supported by blockchain and quantum technologies.
The rapid adoption of cloud infrastructures has intensified concerns regarding data confidentiality, integrity, and trust management, particularly in the presence of emerging quantum computing threats. Classical cryptographic mechanisms, which underpin most existing cloud security architectures, are increasingly vulnerable to quantum attacks capable of compromising public-key encryption and key exchange protocols. To address these challenges, this paper proposes a hybrid security framework that integrates Quantum Cryptography with Blockchain technology to achieve robust, future-resistant data protection in cloud environments. The proposed framework leverages Quantum Key Distribution (QKD) to enable provably secure key generation and exchange based on quantum mechanical principles, ensuring resistance against eavesdropping and computational attacks. Blockchain technology is employed to provide decentralized trust, immutable audit trails, and transparent access control across distributed cloud services. Smart contracts enforce fine-grained security policies, automate authentication, and ensure tamper-proof data access logging. The synergy between quantum cryptography and blockchain establishes a secure key lifecycle, resilient identity management, and verifiable data integrity within multi-tenant cloud infrastructures. Comprehensive security analysis demonstrates that the proposed approach effectively mitigates quantum-enabled attacks, insider threats, and single-point-of-failure vulnerabilities commonly found in traditional cloud security models. Experimental evaluation and comparative analysis highlight improvements in data integrity assurance, key management robustness, and trust transparency, with acceptable computational and communication overhead. The results indicate that integrating quantum cryptography with blockchain presents a scalable and future-proof security paradigm for next-generation cloud infrastructures.
The convergence of quantum computing, blockchain technologies, and contextual artificial intelligence offers a transformative opportunity to meet the growing demands of secure, adaptive, and decentralized systems. However, most existing approaches focus on isolated or pairwise integrations of these technologies and do not provide a comprehensive architectural synthesis. This paper introduces a quantum-classical hybrid architecture that unifies quantum-enhanced cryptographic processing, blockchain-based trust mechanisms, and context-aware AI reasoning within a modular and interoperable system design. The proposed architecture consists of four interoperable layers: a quantum layer for cryptographic functions and computational enhancements, a classical layer for coordination and orchestration, a contextual AI layer for real-time inference and adaptation, and a blockchain layer for transparent and tamper-resistant record keeping. A key innovation of this architecture lies in its use of contextual AI models, such as transformers, to interpret dynamic environments and guide decisions across quantum and blockchain components. This paper presents use cases in healthcare, finance, and supply chain domains which are theoretical, yet based on realistic challenges and operational demands. These scenarios illustrate how each layer of the architecture contributes to practical decision-making, enhancing the feasibility of future deployments. The paper also discusses implementation challenges such as quantum hardware limitations, integration complexity, and data privacy, and outlines a trajectory for advancement through quantum middleware, explainable AI, and post-quantum cryptographic integration. By aligning emerging technologies within a unified structure, this study offers a forward-looking blueprint for secure, intelligent, and context-aware systems in decentralized environments.
Web 3.0 pursues the establishment of decentralized ecosystems through blockchain technologies, driving digital transformation in commerce and governance. With consensus algorithms and smart contracts grounded in cryptographic technologies, Web 3.0 enables secure and transparent digital services, such as digital identity, asset management, decentralized autonomous organizations (DAOs), and decentralized finance (DeFi), fostering integration between digital and physical economies. As quantum devices rapidly advance, Web 3.0 is being developed in parallel with the deployment of quantum cloud computing and quantum Internet. In this regard, quantum computing first disrupts the original cryptographic systems that protect data security while reshaping modern cryptography with enhanced quantum computing and communication capabilities. This article provides a comprehensive overview of blockchain-based Web 3.0, examining its quantum and postquantum advancements from two key perspectives. On the one hand, postquantum migration methods and quantum-resistant signatures offer robust solutions to safeguard blockchain against quantum threats. On the other hand, quantum and postquantum encryption and verification algorithms boost blockchain performance, creating a decentralized, secure, and value-driven system. Additionally, we outline potential applications of quantum blockchain and offer guidance for implementation within the Web 3.0 ecosystem. Finally, we discuss future directions for developing a provably secure and decentralized digital ecosystem.
Blockchain technology has been prominent recently due to its applications in cryptocurrency. Numerous decentralized blockchain applications have been possible due to blockchains' nature of distributed, secured, and peer-to-peer storage. One of its technical pillars is using public-key cryptography and hash functions, which promise a secure, pseudo-anonymous, distributed storage with non-repudiation. This security is believed to be difficult to break with classical computational powers. However, recent advances in quantum computing have raised the possibility of breaking these algorithms with quantum computers, thus, threatening the blockchains' security. Quantum-resistant blockchains are being proposed as alternatives to resolve this issue. Some propose to replace traditional cryptography with post-quantum cryptography—others base their approaches on quantum computer networks or quantum internets. Nonetheless, a new security infrastructure (e.g., access control/authentication) must be established before any of these could happen. This article provides a theoretical analysis of the quantum blockchain technologies that could be used for decentralized identity authentication. We put together a conceptual design for a quantum blockchain identity framework (QBIF) and give a review of the technical evidence. We investigate its essential components and feasibility, effectiveness, and limitations. Even though it currently has various limitations and challenges, we believe a decentralized perspective of quantum applications is noteworthy and likely.
This paper introduces a fully decentralized communication platform that enables secure messaging and file sharing by integrating a quantum random number generator (QRANG) to enhance cryptographic strength against future quantum threats. The proposed system leverages blockchain technology for tamper-resistant recordkeeping, distributed storage through IPFS, and end-to-end encryption using quantum-derived entropy. Unlike conventional decentralized applications that rely on classical pseudo-random number generators, our approach utilizes true quantum randomness to generate encryption keys, significantly increasing unpredictability and resistance to cryptanalytic attacks. The architecture is organized into presentation, orchestration, and data storage layers to ensure clear separation of functions and facilitate robust security. Empirical evaluation demonstrates substantial improvements in randomness quality, key security, and overall system resilience when compared to traditional methods, highlighting the effectiveness of quantum-enhanced cryptography in practical decentralized applications.