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Building Quantum-Ready Ecosystems From Post-Quantum Cryptography to Regional AI Networks - Adriana Baravalle

Baravalle, Adriana

Published Nov 10, 2025• 0 citations
Publisher

Abstract

As quantum computing advances toward practical implementation, the urgency to prepare our technological infrastructures and research ecosystems becomes critical. This presentation explores two interconnected dimensions of quantum readiness: protecting critical systems through post-quantum cryptography and building collaborative regional networks to accelerate quantum and AI research.The talk will introduce the synapsIA model—a successful regional network of AI experts connecting academia, industry, and government across Latin America—as a framework for fostering quantum computing and AI ecosystems in emerging regions. We will examine how collaborative, multidisciplinary networks can accelerate knowledge transfer, reduce technological dependency, and create sustainable pathways for quantum education and research in underrepresented regions.This session offers practical insights for students and researchers interested in: quantum technologies applications, cybersecurity in the quantum era, regional innovation ecosystems, and multidisciplinary collaboration strategies. Attendees will gain understanding of both technical solutions and organizational models that can be replicated in their own communities.Keywords: Post-quantum cryptography, Artificial Intelligence, Regional innovation networks, Quantum readiness, Critical infrastructures, Collaborative ecosystems

DOI
10.5281/zenodo.17677993

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As quantum computers advance, they will fundamentally change the ways the information systems that currently secure communications, financial systems, healthcare records, government databases and critical infrastructure are protected. Although quantum technologies offer great promise for future scientific endeavors and processing power, they also present new dangers for cybersecurity. This paper explores the threats that are emerging as a result of Quantum Computing, focusing on the vulnerability of popular public-key cryptographic methods like RSA, Diffie–Hellman and Elliptic Curve Cryptography. The study also delves into the consequences of "harvest now, decrypt later": Information encrypted today could be made available when sufficiently strong quantum computers are ready. The research adopts a qualitative approach with a thorough literature survey of scholarly works on quantum-safe security standards, international cybersecurity frameworks, and recent advancements in the field. It evaluates the readiness of organizations, governments and technology vendors to deal with the changing threats of quantum computing. The study also highlights emerging counter measures, such as post quantum cryptography, quantum key distribution, cryptographic agility, zero trust security architectures, and risk-based migration strategies to build long-term cyber resilience. The results indicate that while large-scale quantum computers are still being developed which could compromise current encryption systems, it is important to plan ahead and implement quantum-resistant technologies to mitigate future security risks. To achieve quantum-safe cybersecurity, a concerted effort is needed, involving a collaboration between policymakers, researchers, industry players and standardization organizations, to provide secure digital ecosystems. In the end, the paper argues that a blend of quantum-resistant cryptographic solutions and adaptive cybersecurity governance and continuous innovation will be a critical enabler in protecting information assets in the quantum era. The study will contribute to the existing body of work on quantum cybersecurity and provide insights into the challenges and opportunities of creating secure and future-proof cybersecurity systems.
This research paper provides a comprehensive analysis of how the convergence of Artificial Intelligence (AI) and Quantum Computing is reshaping modern cybersecurity. It examines emerging threats such as AI-driven attacks, deepfakes, automated vulnerability discovery, adversarial machine learning, and the future impact of quantum computers on classical cryptographic systems. The study evaluates NIST-standardized post-quantum cryptography algorithms, including CRYSTALS-Kyber, Dilithium, FALCON, and SPHINCS+, comparing their performance, implementation challenges, and readiness for large-scale deployment. It also investigates AI-based threat detection models, organizational preparedness across sectors, and hybrid security architectures that combine classical and quantum-safe methods. The paper highlights urgency due to accelerating quantum hardware advancements and recommends strategic steps for organizations, vendors, policymakers, and researchers to transition toward quantum-resilient cybersecurity.