Quantum computing

Secure quantum-safe optical transport strengthens Japan’s AI data center infrastructure

Nokia and KDDI Corporation demonstrated quantum-safe optical transport at Sakai Data Center, supporting advanced AI workloads. The network aims to deliver secure, uninterrupted data transfer while protecting sensitive AI operations.

The demonstration showcases KDDI’s scalable AI-ready infrastructure for real-time training, inference, and analytics. Quantum-safe encryption and resilient transport protect customer data and critical infrastructure across Japan’s distributed data centres.

Using Nokia’s 1830 Photonic Service Switch (PSS) and 1830 Security Management Server (SMS), the partners validated high-capacity, secure optical connectivity. The solution delivers privacy, reliability, and fast quantum-safe encryption for modern AI workloads.

Executives from both companies emphasised the importance of secure, scalable networks in enabling AI-driven services. Nokia and KDDI will continue advancing quantum-safe data centre connectivity, supporting Japan’s digital infrastructure and key enterprise applications.

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Quantum computing breakthrough slows information loss

Chinese scientists have observed and controlled a rare intermediate state in a quantum system, effectively slowing quantum chaos. Using the 78-qubit Chuang Tzu 2.0 superconducting processor, researchers demonstrated how a temporary stable phase can be extended or shortened.

The team identified a prethermalisation plateau, a brief period during which the system resists disorder before rapidly descending into full complexity. Careful adjustment of control sequences enabled scientists to tune the rate of quantum decoherence and control how information spreads.

Findings, published in Nature, offer a potential window for preserving fragile quantum information. Longer coherence times could significantly improve the reliability of quantum computing and error correction methods.

Researchers say the work also highlights the advantage of quantum processors in simulating phenomena too complex for classical supercomputers. Applications may range from drug discovery and advanced materials research to next-generation secure communications.

Continued development of larger and more powerful quantum chips is now underway. Mastering such transitional states will be crucial to unlocking the full potential of quantum technologies.

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Microsoft and OpenAI fund UK AI alignment project

OpenAI and Microsoft have joined the UK’s AI Security Institute, pledging funding to its Alignment Project, an international effort focused on ensuring advanced AI systems are safe, secure, and act as intended.

Their contributions bring total funding to over £27 million, supporting some 60 research projects across eight countries.

AI alignment aims to steer AI systems to behave predictably and prevent unintended or harmful outcomes. The project provides grants, computing resources, and mentorship, boosting public trust in AI while supporting productivity, medical progress, and new job opportunities.

UK Deputy Prime Minister David Lammy and AI Minister Kanishka Narayan highlighted the importance of safe AI adoption. Lammy said strong safety foundations help the UK harness AI’s benefits, while Narayan stressed that public confidence is key to unlocking its full potential.

The Alignment Project operates with a global coalition including the Canadian Institute for Advanced Research, Amazon Web Services, Anthropic, and other partners.

By combining independent research teams, grant funding, and access to infrastructure, the initiative aims to keep increasingly capable AI systems reliable and controllable as they are deployed worldwide.

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Quantum Computing transforms port scheduling and maritime logistics optimization

Quantum computing is emerging as a complementary technology in maritime shipping, an industry defined by constant constraints, disruptions, and interdependent decisions. As global trade networks grow more complex, optimisation challenges in ports and logistics systems are becoming increasingly complex to solve with classical computing alone.

In hybrid workflows, classical systems manage data and operations, while quantum routines tackle the most computationally intensive bottlenecks.

The main difficulty in maritime logistics is not the volume of data, but the exponential growth in the number of possible decisions as constraints accumulate. Real-world variables such as weather, labour rules, emissions targets, congestion, and intermodal coordination make planning significantly more complex.

Problems, including berth allocation, crane sequencing, vehicle routing, fleet scheduling, and container loading, often require simplifications. Under time pressure, planners frequently settle for “good enough” solutions.

Quantum computing is particularly suited to dense, constraint-heavy optimisation tasks. In hybrid systems, it can improve replanning during disruptions and generate higher-quality scheduling options.

Early experimentation is underway in major ports, including initiatives in Los Angeles and Dubai. These pilots focus on measurable operational gains and technical readiness.

While hardware continues to mature, software accessibility remains a key barrier. Maritime leaders are encouraged to invest in modelling capabilities and integration planning to prepare for the gradual adoption of quantum.

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European push for quantum photonic chips gains support from Ireland

Ireland is set to play a central role in a new European initiative to accelerate the development and manufacturing of quantum computing chips. The Photonics for Quantum (P4Q) project will begin in 2026 and involve partners from 12 countries working to strengthen Europe’s position in quantum technologies.

The programme, coordinated by the University of Twente in the Netherlands, brings together research institutes, semiconductor manufacturers and deep tech firms. Its goal is to establish a manufacturing ecosystem capable of producing high-quality quantum photonic chips at scale. Such chips are considered essential for advances in quantum computing, sensing and secure communication.

In Ireland, the project will be hosted by the Tyndall National Institute at University College Cork and supported by the Department of Further and Higher Education, Research, Innovation and Skills. Tyndall will focus on advanced packaging techniques for photonic chips, particularly those operating at cryogenic temperatures, a key hurdle in building scalable quantum systems.

Officials say the initiative aligns with Ireland’s broader semiconductor strategy and Europe’s ambition to build sovereign capability in advanced technologies. By contributing expertise in packaging and precision manufacturing, Ireland aims to help create a resilient supply chain for next-generation quantum devices.

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Five lesser-known SPACs tapping AI, quantum and digital asset innovation

In a recent episode of Ticker Take, financial analysts spotlight five SPACs that fly under the radar but are linked with next-generation tech sectors such as quantum computing, artificial intelligence infrastructure, tokenised assets and genomics/health tech.

The list reflects renewed investor interest in SPACs as an alternative route to public markets for early-stage innovators outside mainstream IPO pipelines.

Crane Harbor Acquisition Corp (CHAC) is targeting Xanadu Quantum Technologies, a Canadian quantum computing company planning to go public via SPAC, aiming to accelerate quantum hardware development.

Churchill Capital Corp X (CCCX) is set to merge with Infleqtion, a firm building quantum computers and precision sensing systems, in an ~$1.8 billion deal.

Cantor Equity Partners II (CEPT) is associated with Securitize, a digital securities platform enabling regulated tokenisation of real-world assets (including potentially AI/tech-linked assets).

Willow Lane Acquisition (WLAC) is linked to Boost Run, an AI-enabled delivery-optimization platform, offering exposure to logistics tech with generative and predictive capabilities.

Perceptive Capital Solutions Corp (PCSC) is connected to Freenome, a company focused on AI-driven early cancer detection and genomics, blending AI with life-science innovation.

Together, these SPAC deals illustrate how blank-check vehicles are resurfacing in markets for AI, quantum and digital transformation, offering investors early access to companies that might otherwise take longer to reach public markets.

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Bitcoin cryptography safe as quantum threat remains distant

Quantum computing concerns around Bitcoin have resurfaced, yet analysis from CoinShares indicates the threat remains long-term. The report argues that quantum risk is an engineering challenge that gives Bitcoin ample time to adapt.

Bitcoin’s security relies on elliptic-curve cryptography. A sufficiently advanced quantum machine could, in theory, derive private keys using Shor’s algorithm, which requires millions of stable, error-corrected qubits, and remains far beyond current capability.

Network exposure is also limited. Roughly 1.6 million BTC is held in legacy addresses with visible public keys, yet only about 10,200 BTC is realistically targetable. Modern address formats further reduce the feasibility of attacks.

Debate continues over post-quantum upgrades, with researchers warning that premature changes could introduce new vulnerabilities. Market impact, for now, is viewed as minimal.

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Startup founded by Nobel laureate focuses on scalable quantum chips

Renowned physicist John Martinis, a Nobel Prize winner, is pursuing a new quantum computing breakthrough. His early work proved electrical circuits could behave like quantum particles, enabling modern quantum machines.

Momentum grew when Martinis led Google’s ‘quantum supremacy’ experiment, outperforming classical computers in specialised tasks. Scaling remains difficult because fragile qubits, complex wiring and manufacturing limits reduce reliability.

Startup QoLab, founded in 2024, is redesigning quantum chip architecture to solve those hardware problems. Integrating components onto chips could reduce wiring, improve stability and enable larger systems.

Useful quantum computers could transform chemistry, materials science and complex simulations beyond classical limits. Martinis believes hardware innovation and scalable manufacturing will determine future industry leaders.

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New platform uses quantum simulator technology to model exotic materials

Researchers in Australia have built the largest quantum simulator yet to study complex quantum materials and advanced electronic behaviour. By placing individual atoms on silicon chips, the system recreates real-material interactions directly at the quantum level.

Unlike conventional computers, which struggle to model certain effects accurately, the simulator directly mirrors how electrons interact inside materials such as superconductors. This allows scientists to explore phenomena that would otherwise require enormous computational resources.

The system, known as Quantum Twins, consists of grids containing 15,000 qubits arranged to emulate atomic structures. By controlling how electrons move and interact across the grid, researchers can replicate key material properties linked to conductivity and magnetic behaviour.

Early experiments successfully simulated transitions between conducting and insulating states, as well as responses to magnetic fields. These results suggest the platform can handle complex two-dimensional systems that challenge classical modelling techniques.

Scientists in Australia believe the simulator could accelerate research into unconventional superconductors and other advanced materials, with potential applications in energy, electronics, medicine, and artificial photosynthesis technologies.

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Innovation and security shape the UAE’s tech strategy

The United Arab Emirates is strengthening its global tech role by treating advanced innovation as a pillar of sovereignty rather than a standalone growth driver. National strategy increasingly links technology with long-term economic resilience, security, and geopolitical relevance.

A key milestone was the launch of the UAE Advanced Technology Centre with the Technology Innovation Institute and the World Economic Forum, announced alongside the Davos gathering.

The initiative highlights the UAE’s transition from technology consumer to active participant in shaping global governance frameworks for emerging technologies.

The centre focuses on policy and governance for areas including artificial intelligence, quantum computing, biotechnology, robotics, and space-based payment systems.

Backed by a flexible regulatory environment, the UAE is promoting regulatory experimentation and translating research into real-world applications through institutions such as the Mohamed bin Zayed University of Artificial Intelligence and innovation hubs like Masdar City.

Alongside innovation, authorities are addressing rising digital risks, particularly deepfake technologies that threaten financial systems, public trust, and national security.

By combining governance, ethical standards, and international cooperation, the UAE is advancing a model of digital sovereignty that prioritises security, shared benefits, and long-term strategic independence.

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