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UNIDIR highlights the security implications of the shift from classical to quantum technologies

The United Nations Institute for Disarmament Research (UNIDIR) has outlined the evolution of digital technologies from early internet systems to emerging quantum capabilities, highlighting their growing impact on global systems and security.

In its analysis, UNIDIR traces the progression from dial-up connectivity and classical computing to advanced technologies such as AI and quantum computing, noting that innovation cycles are accelerating and becoming increasingly interconnected. The organisation states that the transition to quantum technologies represents a significant shift in how data is processed, stored and secured.

Unlike classical systems, quantum computing introduces new capabilities that could transform fields ranging from scientific research to communications.

However, UNIDIR warns that these advances also present risks, particularly in cybersecurity. Quantum technologies could challenge existing encryption methods and expose vulnerabilities in digital infrastructure, with implications for governments, businesses and critical systems.

The analysis also links emerging technologies to broader geopolitical dynamics, noting that competition over technological leadership is becoming a key factor in international security. As digital and physical systems converge, technological developments are increasingly shaping strategic stability.

Why does it matter?

UNIDIR emphasises the need for forward-looking governance, international cooperation and policy coordination to manage these challenges. It calls for stronger dialogue among states and stakeholders to ensure that technological progress supports global security rather than undermines it.

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Quantum computing gains stability boost from NVIDIA error correction model

NVIDIA has strengthened its position in the emerging quantum computing sector through a new family of AI models designed to improve calibration and error correction in quantum systems. Rather than building its own quantum processing hardware, the company continues to focus on hybrid computing architectures that combine classical GPUs with quantum processors.

The new system reportedly improves quantum error correction decoding by up to 2.5 times in speed and three times in accuracy, addressing one of the most persistent barriers to scalable quantum computing. High error rates have long limited the practical deployment of quantum systems, making stability and fast correction central challenges for the industry.

NVIDIA has also expanded tools such as NVQLink and CUDA-Q, which allow quantum systems to integrate more directly with its existing GPU infrastructure. Together, these tools support workloads that can be distributed across classical and quantum environments, reinforcing NVIDIA’s role as a foundational infrastructure provider rather than a direct builder of quantum hardware.

The strategy positions NVIDIA to benefit regardless of how quantum computing develops. Whether hybrid systems become the dominant model or classical GPUs remain the primary computational layer for quantum processors, NVIDIA aims to remain embedded in the infrastructure stack that supports future quantum workloads.

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Saudi Arabia pilots global blueprint for quantum economy development

Saudi Arabia has become the first country to pilot the World Economic Forum’s Quantum Economy Blueprint, applying a global strategic framework to its national innovation agenda.

The initiative, led by the Centre for the Fourth Industrial Revolution Saudi Arabia, aims to align emerging quantum technologies with the long-term development goals outlined in Vision 2030.

The pilot, based on analysis of 24 national quantum strategies and input from global organisations, translated theoretical guidance into practical policy workstreams.

It highlighted how quantum initiatives gain stronger traction when embedded within broader national priorities, such as economic diversification and technological leadership, rather than being treated as isolated research efforts.

Five key lessons emerged from the exercise. These include the importance of linking research to commercial applications, ensuring flexible access to quantum hardware through partnerships and cloud systems, and building strong collaboration between government, academia, and industry.

The findings also underline that talent development is central to competitiveness, extending beyond scientists to engineers, policymakers, and business specialists.

The experience suggests that countries do not need full ownership of quantum infrastructure to participate in the sector, but can instead rely on strategic access models and ecosystem cooperation.

Saudi Arabia’s pilot demonstrates how global frameworks can be adapted into national action, offering a model for other countries developing their quantum strategies.

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Canada boosts quantum research funding

The Natural Sciences and Engineering Research Council of Canada has announced new funding to support the country’s quantum research ecosystem. The initiative aims to strengthen scientific capacity and innovation in the field.

According to the Natural Sciences and Engineering Research Council of Canada, the funding will support researchers, projects and collaboration across institutions. It is intended to advance both fundamental research and applied development.

The programme also focuses on developing talent and building expertise, ensuring that researchers and students can contribute to the development of quantum technologies. This reflects a broader effort to sustain long-term growth in the sector.

The Natural Sciences and Engineering Research Council of Canada positions the funding as part of ongoing efforts to reinforce quantum capabilities and research leadership in Canada.

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Quantum technologies tested to strengthen energy systems

Energy systems are under growing pressure from rising demand, geopolitical volatility and increasingly complex grid operations. Electrification, renewable integration and digital infrastructure growth are making power systems harder to optimise and secure with conventional tools.

The World Economic Forum’s white paper Quantum for Energy and Utilities: Key Opportunities for Energy Transition, developed with Aramco, highlights quantum technologies as complementary tools for specific high-value challenges.

Operational optimisation is one of the earliest use cases. Power networks must balance renewable generation, storage, flexible demand and grid limits in real time.

Hybrid quantum-classical approaches are being tested, including EDF and Pasqal’s electric-vehicle smart charging work, in which a neutral-atom quantum system enabled scheduling across more than 100 qubits to better align charging with grid conditions.

Quantum approaches are also being explored for materials and monitoring. Simulating batteries, hydrogen systems and carbon capture remains computationally heavy, slowing innovation.

Quantum sensing is also being trialled for emissions and infrastructure monitoring, including methane detection tests at the Flotta Oil Terminal in Scotland that captured intermittent emissions missed by periodic inspections.

Infrastructure security is another focus, especially long-term cyber risk. Trials such as Austria’s Verbund testing quantum-safe communications in live grid environments show early progress in post-quantum cryptography.

Despite advances, limitations in hardware, scalability and integration keep most applications in pilot phases, with wider adoption dependent on structured investment and clear use cases.

Why does it matter?

Energy systems are growing more complex as rising demand, renewable integration and digitalisation stretch traditional optimisation and security tools to their limits. Even in early pilots, quantum approaches could boost grid efficiency, accelerate the discovery of clean-energy materials and enhance long-term infrastructure security.

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Experts warn of potential quantum disruption to blockchain security

A survey by the Global Risk Institute has highlighted growing concern that quantum computing could undermine the cryptographic foundations of cryptocurrencies within the next decade.

Experts estimate a 28% to 49% probability that quantum machines capable of breaking current encryption standards could emerge within 10 years, with the probability rising further over a 15-year horizon.

Cryptocurrencies such as Bitcoin rely on public-key cryptography to secure transactions and verify ownership. Advanced quantum algorithms could reverse-engineer private keys from public data, exposing wallets and weakening blockchain security.

The risk is seen as particularly relevant for long-term stored assets and static addresses. Industry researchers and technology firms are already exploring post-quantum cryptography to mitigate potential disruption.

Efforts led by standards bodies such as the National Institute of Standards and Technology focus on developing encryption methods resistant to both classical and quantum attacks, although full migration across decentralised systems remains complex.

The findings place quantum readiness alongside broader digital security priorities, as financial systems, communications networks, and public infrastructure share similar cryptographic dependencies.

The evolving timeline is prompting early-stage preparation across the cryptocurrency ecosystem, where system upgrades must balance security, decentralisation, and continuity.

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AI and 6G strategy drives South Korea’s digital transformation agenda

South Korea has outlined an ambitious national strategy to position itself among the world’s leading AI powers, linking technological advancement with broader economic and societal transformation.

Instead of isolated innovation efforts, the plan adopts a systemic approach, combining infrastructure development, data governance, and industrial policy to accelerate digital transition.

Central to South Korea’s strategy is the evolution of network infrastructure, with a shift from 5G to next-generation 6G technology targeted by 2030. The emphasis on connectivity and speed is complemented by efforts to strengthen cybersecurity frameworks and establish a national data integration platform.

Such measures aim to create a more resilient and competitive digital environment capable of supporting large-scale AI deployment.

The policy also prioritises the integration of AI across multiple sectors, including healthcare, manufacturing, agriculture, and disaster management.

By embedding intelligent systems into critical industries, South Korean authorities seek to enhance productivity, improve public service delivery, and strengthen national resilience.

Workforce development is positioned as a key pillar, with phased training initiatives designed to build expertise in advanced technologies such as semiconductors and quantum computing.

In parallel, the strategy incorporates digital inclusion measures to ensure broader societal participation. Expansion of AI learning centres and assistive technologies reflects an effort to reduce digital divides while supporting vulnerable groups.

Long-term success will depend on effective coordination across government bodies and to balancing rapid technological deployment with equitable access and robust governance frameworks, rather than purely growth-driven objectives.

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Global cyber stability conference set for May 2026 in Geneva

The Cyber Stability Conference 2026 will take place on 4–5 May at the Centre International de Conférences Genève in Geneva, bringing together global stakeholders to discuss the future of ICT security and cyber governance.

Organised by the United Nations Institute for Disarmament Research, the event will run in a hybrid format during Geneva Cyber Week.

The conference comes amid growing international efforts to strengthen frameworks for responsible state behaviour in cyberspace and improve coordination on digital security challenges. It is positioned within a broader push to adapt governance systems to rapid technological change.

Discussions will focus on how cyber governance can respond to emerging technologies such as AI and quantum computing. Emphasis will be placed on aligning regulatory and security approaches with technological development to reinforce international stability.

Participants from government, academia, industry, and civil society will review past lessons, assess current risks, and explore future pathways for global ICT security governance.

Cyber stability is becoming a core pillar of global security as digital infrastructure underpins economies, governance systems, and critical services. Stronger coordination on cyber governance is essential to reducing systemic risks and ensuring technological progress does not outpace security frameworks.

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IBM and ETH Zurich announce partnership on AI and quantum algorithms

International Business Machines Corporation and the Swiss Federal Institute of Technology Zurich have announced a decade-long partnership to develop algorithms that bridge classical computing, machine learning, and quantum systems.

The collaboration will focus on creating foundational algorithms to address complex business and scientific challenges as quantum computing becomes increasingly practical. IBM will support the establishment of new professorships and research initiatives at the institution.

The partnership will concentrate on four key areas: optimisation, differential equations, linear algebra and complex system modelling, strengthening the mathematical foundations required for AI and quantum progress.

This represents a significant commitment to shaping the algorithmic future of computing. Both institutions believe that algorithms, rather than hardware or software alone, will define the next computing revolution as quantum and AI technologies converge in Zurich.

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New quantum threat could weaken cryptocurrency encryption systems

A new warning from Google says advances in quantum computing could weaken widely used cryptographic systems protecting cryptocurrencies and digital infrastructure. A new whitepaper suggests future quantum machines may need fewer resources than previously estimated to break elliptic curve cryptography.

The research focuses on the elliptic curve discrete logarithm problem, which underpins much of today’s blockchain security. Findings suggest quantum algorithms like Shor’s could run with fewer qubits and gates, increasing concerns about cryptographic resilience.

To address the risk, the paper recommends a transition to post-quantum cryptography, which is designed to resist quantum attacks. It also outlines short-term blockchain measures, including avoiding reuse of vulnerable wallet addresses and preparing digital asset migration strategies.

Google also introduced a responsible disclosure approach using zero-knowledge proofs to communicate vulnerabilities without exposing exploitable details.

The company says this balances transparency and security, supporting coordinated efforts across crypto and research communities to prepare for quantum threats.

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