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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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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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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Growing momentum around quantum computing is drawing heightened interest from major companies and policymakers. Corporate documents and earnings calls now reference quantum technologies more frequently than in previous years, signalling broader strategic shifts across multiple sectors.
Significant figures in advanced computing, including IBM and Nvidia, are extending their quantum programmes to strengthen their position in the next wave of digital innovation. Analysts note that such initiatives are helping to shape stronger market expectations and a rise in long-term investment.
Forecasts suggest a marked expansion in the global quantum computing market over the coming years, reflecting growing confidence among investors and technology leaders. Increased commercial activity is also encouraging more organisations to explore how quantum capabilities might be integrated into future planning.
Public familiarity with quantum technology remains uneven despite widening media attention and educational efforts. Researchers emphasise that although business engagement is accelerating, a broader understanding still lags behind scientific progress and the technical challenges that remain.
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Germany has launched the INQUBATOR initiative to help companies, particularly SMEs, prepare for the industrial impact of quantum computing. The four-year programme offers structured support to firms facing high entry barriers and limited access to advanced technologies.
A central feature is affordable access to quantum systems from multiple vendors, paired with workshops and hands-on training. Companies can test algorithms, assess business relevance and adapt processes without investing in costly hardware or specialist infrastructure.
The project is coordinated by the Fraunhofer Institute for Applied Solid-State Physics and is funded by the Federal Ministry of Research and Technology. It brings together several Fraunhofer institutes to guide firms from early exploration to applied solutions.
Initial pilot projects span medicine, cybersecurity, insurance and automotive sectors. These examples are intended to demonstrate measurable advantages and will be followed by an open call for further use cases across a broader range of industries.
INQUBATOR aims to reduce financial and technical obstacles while expanding quantum expertise and industrial readiness in Germany. By enabling practical experimentation, it seeks to build a competitive ecosystem of quantum-literate companies over the next four years.
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Quantum computing has long been framed as a future promise, but D-Wave argues real-world use has now arrived. The company says its Advantage2 system is already running complex optimisation tasks for businesses through both cloud and on-premise deployment.
D-Wave highlights a recent physics experiment as evidence of this shift, claiming the system solved a materials-modelling problem that would take a top supercomputer nearly a million years. The result, completed in minutes, serves as a proof point of practical quantum performance.
The company says accessibility is central to its approach, emphasising that Advantage2 can be programmed in Python without specialist quantum expertise. It frames this ease of use as essential to broader adoption beyond research labs.
Industry deployments are cited across logistics, telecoms, and manufacturing. D-Wave points to scheduling gains at Pattison Food Group, network optimisation at NTT Docomo, and faster production planning at Ford Otosan as examples of measurable operational benefits.
Energy efficiency is another focus, with D-Wave stating that each of its six hardware generations draws roughly 12.5 kilowatts. The company argues that this stable power use, paired with rising performance, positions quantum systems as a lower-energy option for hard computational problems.
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IBM has introduced two new quantum processors, named ‘Nighthawk’ and ‘Loon’, aimed at major leaps in quantum computing. The Nighthawk chip features 120 qubits and 218 tunable couplers, enabling circuits with approximately 30% greater complexity than previous models.
The Loon processor is designed as a testbed for fault-tolerant quantum computing, implementing key hardware components, including six-way qubit connectivity and long-range couplers. These advances mark a strategic shift by IBM to scale quantum systems beyond experimental prototypes.
IBM has also upgraded its fabrication process by shifting to 300 mm wafers at its Albany NanoTech facility, which has doubled development speed and boosted physical chip complexity tenfold.
Looking ahead, IBM projects the initial delivery of Nighthawk by the end of 2025 and aims to achieve verified quantum advantage by the end of 2026, with fully fault-tolerant quantum systems targeted by 2029.
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Google Research has outlined how it tackles three major domains where foundational AI and science research are applied for tangible global effect, under a framework the team calls the ‘magic cycle’.
The three focus areas highlighted are fighting cancer with AI, quantum computing for medicines and materials, and understanding Earth at scale with Earth AI.
One of the flagship tools is DeepSomatic, an AI system developed to detect genetic variants in cancer cells that previous techniques missed. The tool partnered with a children’s hospital to identify ten new variants in childhood leukaemia samples. Significantly, DeepSomatic was applied to a brain cancer type it had never encountered before and still flagged likely causal variants.
Google Research is exploring the frontiers with its service chip (Willow) and algorithms like Quantum Echoes to simulate molecular behaviours with precision that classical computers struggle to reach. These efforts target improved medicines, better batteries and advanced materials by capturing quantum-scale phenomena.
Aiming to model complex interconnected systems, from weather and infrastructure to population vulnerability, the Earth AI initiative seeks to bring disparate geospatial data into unified systems. For example, predicting which communities are most at risk in a storm requires combining meteorological, infrastructure and socioeconomic data.
Google Research states that across these domains, research and applied work feed each other: foundational research leads to tools, which, when deployed, reveal new challenges that drive fresh research, the ‘magic cycle’.
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Caltech physicists have developed a groundbreaking neutral-atom quantum computer, trapping 6,100 caesium atoms as qubits in a single array. Published in Nature, the achievement marks the largest such system to date, surpassing previous arrays limited to hundreds of qubits.
The system maintains exceptional stability, with qubits coherent for 13 seconds and single-qubit operations achieving 99.98% accuracy. Using optical tweezers, researchers move atoms with precision while maintaining their superposition state, essential for reliable quantum computing.
The milestone highlights neutral-atom systems as strong contenders in quantum computing, offering dynamic reconfigurability compared to rigid hardware. The ability to rearrange qubits during computations paves the way for advanced error correction in future systems.
As global efforts intensify to scale quantum machines, Caltech’s work sets a new benchmark. The team aims to advance entanglement for full-scale computations, bringing practical quantum solutions closer for fields like chemistry and materials science.
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Researchers have reached a major milestone in quantum computing, demonstrating a task that surpasses the capabilities of classical machines. Using Quantinuum’s 12-qubit ion-trap system, they delivered the first permanent, provable example of quantum supremacy, settling a long-running debate.
The experiment addressed a communication-complexity problem in which one processor (Alice) prepared a state and another (Bob) measured it. After 10,000 trials, the team proved that no classical algorithm could match the quantum result with fewer than 62 bits, with equivalent performance requiring 330 bits.
Unlike earlier claims of quantum supremacy, later challenged by improved classical algorithms, the researchers say no future breakthrough can close this gap. Experts hailed the result as a rare proof of permanent quantum advantage and a significant step forward in the field.
However, like past demonstrations, the result has no immediate commercial application. It remains a proof-of-principle demonstration showing that quantum hardware can outperform classical machines under certain conditions, but it has yet to solve real-world problems.
Future work could strengthen the result by running Alice and Bob on separate devices to rule out interaction effects. Experts say the next step is achieving useful quantum supremacy, where quantum machines beat classical ones on problems with real-world value.
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