quantum computing

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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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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Experts debate when quantum computers could break modern encryption

Scientists are divided over when quantum computers will become powerful enough to break today’s digital encryption, a moment widely referred to as ‘Q–Day’.

While predictions range from just two years to several decades, experts agree that governments and companies must begin preparing urgently for a future where conventional security systems may fail.

Quantum computing uses subatomic behaviour to process data far faster than classical machines, enabling rapid decryption of information once considered secure.

Financial systems, healthcare data, government communications, and military networks could all become vulnerable as advanced quantum machines emerge.

Major technology firms have already made breakthroughs, accelerating concerns that encryption safeguards could be overwhelmed sooner than expected.

Several cybersecurity specialists warn that sensitive data is already being harvested and stored for future decryption, a strategy known as ‘harvest now, decrypt later’.

Regulators in the UK and the US have set timelines for shifting to post-quantum cryptography, aiming for full migration by 2030-2035. However, engineering challenges and unresolved technical barriers continue to cast uncertainty over the pace of progress.

Despite scepticism over timelines, experts agree that early preparation remains the safest approach. Experts stress that education, infrastructure upgrades, and global cooperation are vital to prevent disruption as quantum technology advances.

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MIT advances cooling for scalable quantum chips

MIT researchers have demonstrated a faster, more energy-efficient cooling technique for scalable trapped-ion quantum chips. The solution addresses a long-standing challenge in reducing vibration-related errors that limit the performance of quantum systems.

The method uses integrated photonic chips with nanoscale antennas that emit tightly controlled light beams. Using polarisation-gradient cooling, the system cools ions to nearly ten times below standard laser limits, and does so much faster.

Unlike conventional trapped-ion systems that depend on bulky external optics, the chip-based design generates stable light patterns directly on the device. The stability improves accuracy and supports scaling to thousands of ions on a single chip.

Researchers say the breakthrough lays the groundwork for more reliable quantum operations and opens new possibilities for advanced ion control, bringing practical, large-scale quantum computing closer to reality.

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Quantum computing milestone achieved by Chinese researchers

Chinese researchers have reported a significant advance in quantum computing using a superconducting system. The Zuchongzhi 3.2 computer reached the fault-tolerant threshold, at which point error correction improves stability.

Pan Jianwei led the research and marks only the second time globally that this threshold has been achieved, following earlier work by Google. The result positions China as the first country outside the United States to demonstrate fault tolerance in a superconducting quantum system.

Unlike Google’s approach, which relies on extensive hardware redundancy, the Chinese team used microwave-based control to suppress errors. Researchers say this method may offer a more efficient path towards scalable quantum computing by reducing system complexity.

The breakthrough addresses a central challenge in quantum computing: qubit instability and the accumulation of undetected errors. Effective error management is crucial for developing larger systems that can maintain reliable quantum states over time.

While practical applications remain distant, researchers describe the experiment as a significant step in solving a foundational problem in quantum system design. The results highlight the growing international competition in the quest for scalable, fault-tolerant quantum computers.

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Russian scientists develop a 72-qubit quantum computer

Researchers at Lomonosov Moscow State University have developed a 72-qubit quantum computer prototype based on single neutral rubidium atoms. It marks the third Russian quantum computer to surpass the 70-qubit milestone.

The achievement was announced by Rosatom Quantum Technologies and highlights progress in reliable quantum operations.

The atom-based prototype features three zones: one for computing and two for storage and readout. Experiments have demonstrated two-qubit logical operations with 94% accuracy, enabling practical testing and development of quantum algorithms.

Scientists stress that lower error rates are vital for scaling quantum computers to solve complex industrial and financial problems. The work also supports Russia’s technological sovereignty and strengthens the competitiveness of domestic enterprises.

The project actively involves young researchers, graduate students, and undergraduates alongside leading specialists, ensuring the next generation gains hands-on experience in one of Russia’s most significant scientific initiatives.

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Major IBM training programme to boost India’s AI, cybersecurity and quantum skills

Technology giant IBM has announced a major education initiative to skill 5 million people in India by 2030 in frontier areas such as AI, cybersecurity and quantum computing.

The programme will be delivered via IBM’s SkillsBuild ecosystem, which offers over 1,000 courses and has already reached more than 16 million learners globally.

The initiative will span students and adult learners across schools, universities and vocational training ecosystems, with partnerships planned with bodies such as the All India Council for Technical Education (AICTE) to integrate hands-on learning, curriculum modules, faculty training, hackathons and internships.

IBM also plans to strengthen foundational AI skills at the school level by co-developing curricula, teaching resources and explainers to embed computational thinking and responsible AI concepts early in education.

The CEO of IBM has described India as having the talent and ambition to be a global leader in AI and quantum technologies, with broader access to these skills seen as vital for future economic competitiveness and innovation.

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Microsoft outlines how AI is shifting from tools to partners in 2026

AI is entering a new phase, with 2026 expected to mark a shift from experimentation to real-world collaboration. Microsoft executives describe AI as an emerging partner that amplifies human expertise rather than replacing it.

Microsoft says the impact is becoming visible across healthcare, software development, and scientific research. AI tools embedded in Microsoft products are supporting diagnosis, coding, and research workflows.

With the expansion of AI agents across all platforms, organisations are strengthening safeguards to manage new risks. Security leaders argue agents will require clear identities, restricted access, and continuous monitoring.

Microsoft also points to changes in the infrastructure powering AI. The company says future systems will prioritise efficiency and intelligence output, supported by distributed and hybrid cloud architectures.

Looking further ahead, the convergence of AI, supercomputing, and quantum technologies stands out as the main highlight. Hybrid approaches, the company says, are bringing practical quantum advantage closer for applications in materials science, medicine, and research.

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UK positions itself for leadership in the quantum computing race

Quantum computing is advancing as governments and industry pursue new frontiers beyond AI. The UK benefits from strong research traditions and skilled talent. Policymakers see early planning as vital for long-term competitiveness.

Companies across finance, energy and logistics are testing quantum methods for optimisation and modelling. Early pilots suggest that quantum techniques may offer advantages where classical approaches slow down or fail to scale. Interest in practical applications is rising across Europe.

The UK benefits from strong university spinouts and deep industrial partnerships. Joint programmes are accelerating work on molecular modelling and drug discovery. Many researchers argue that early experimentation helps build a more resilient quantum workforce.

New processors promise higher connectivity and lower error rates as the field moves closer to quantum advantage. Research teams are refining designs for future error-corrected systems. Hardware roadmaps indicate steady progress towards more reliable architectures.

Policy support will shape how quickly the UK can translate research into real-world capability. Long-term investments, open scientific collaboration and predictable regulation will be critical. Momentum suggests a decisive period for the country’s quantum ambitions.

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