Quantum computing

New Quantum Echoes system reveals molecular structures at scale

Google says its new Quantum Echoes algorithm runs 13,000 times faster than leading supercomputers, marking what it calls the first verifiable quantum result across different hardware. The breakthrough brings real-world use cases in medicine and materials science closer to feasibility.

Quantum Echoes is built to overcome a core limitation in today’s models: constrained memory that prevents long reasoning chains. The method uses structured world models to maintain a single research goal while processing tens of millions of tokens across multiple agent runs.

Powered by the Willow quantum chip, the system reads thousands of scientific papers and executes tens of thousands of lines of analysis code in a single run. Early estimates suggest one execution could match six months of human scientific labour.

Recent studies have shown that the algorithm reproduces known molecular findings and generates new insights using a technique likened to a quantum molecular ruler. Results matched those of nuclear magnetic resonance techniques, indicating that quantum tools could reveal previously inaccessible structural detail.

Experts still caution that practical quantum computing remains years away. Google faces competition from IBM, Microsoft, and Chinese labs, yet the company argues that Quantum Echoes proves its hardware and algorithms are converging toward usable scientific applications.

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SAP unveils new models and tools shaping enterprise AI

The German multinational software company, SAP, used its TechEd event in Berlin to reveal a significant expansion of its Business AI portfolio, signalling a decisive shift toward an AI-native future across its suite.

The company expects to deliver 400 AI use cases by the end of 2025, building on more than 300 already in place.

It also argues that its early use cases already generate substantial returns, offering meaningful value for firms seeking operational gains instead of incremental upgrades.

A firm that places AI-native architecture at the centre of its strategy. SAP HANA Cloud now supports richer model grounding through multi-model engines, long-term agentic memory, and automated knowledge graph creation.

SAP aims to integrate these tools with SAP Business Data Cloud and Snowflake through zero-copy data sharing next year.

The introduction of SAP-RPT-1, a new relational foundation model designed for structured enterprise data rather than general language tasks, is presented as a significant step toward improving prediction accuracy across finance, supply chains, and customer analytics.

SAP also seeks to empower developers through a mix of low-code and pro-code tools, allowing companies to design and orchestrate their own Joule Agents.

Agent governance is strengthened through the LeanIX agent hub. At the same time, new interoperability efforts based on the agent-to-agent protocol are expected to enable SAP systems to work more smoothly with models and agents from major partners, including AWS, Google, Microsoft, and ServiceNow.

Improvements in ABAP development, including the introduction of SAP-ABAP-1 and a new Visual Studio Code extension, aim to support developers who prefer modern, AI-enabled workflows over older, siloed environments.

Physical AI also takes a prominent role. SAP demonstrated how Joule Agents already operate inside autonomous robots for tasks linked to logistics, field services, and asset performance.

Plans extend from embodied AI to quantum-ready business algorithms designed to enhance complex decision-making without forcing companies to re-platform.

SAP frames the overall strategy as a means to support Europe’s digital sovereignty, which is strengthened through expanded infrastructure in Germany and cooperation with Deutsche Telekom under the Industrial AI Cloud project.

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IBM advances quantum computing understanding with new project

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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Purdue and Google collaborate to advance AI research and education

Purdue University and Google are expanding their partnership to integrate AI into education and research, preparing the next generation of leaders while advancing technological innovation.

The collaboration was highlighted at the AI Frontiers summit in Indianapolis on 13 November. The event brought together university, industry, and government leaders to explore AI’s impact across sectors such as health care, manufacturing, agriculture, and national security.

Leaders from both organisations emphasised the importance of placing AI tools in the hands of students, faculty, and staff. Purdue plans a working AI competency requirement for incoming students in fall 2026, ensuring all graduates gain practical experience with AI tools, pending Board approval.

The partnership also builds on projects such as analysing data to improve road safety.

Purdue’s Institute for Physical Artificial Intelligence (IPAI), the nation’s first institute dedicated to AI in the physical world, plays a central role in the collaboration. The initiative focuses on physical AI, quantum science, semiconductors, and computing to equip students for AI-driven industries.

Google and Purdue emphasised responsible innovation and workforce development as critical goals of the partnership.

Industry leaders, including Waymo, Google Public Sector, and US Senator Todd Young, discussed how AI technologies like autonomous drones and smart medical devices are transforming key sectors.

The partnership demonstrates the potential of public-private collaboration to accelerate AI research and prepare students for the future of work.

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Joint quantum partnership unites Canada and Denmark for global research leadership

Canada and Denmark have signed a joint statement to deepen collaboration in quantum research and innovation.

The agreement, announced at the European Quantum Technologies Conference 2025 in Copenhagen, reflects both countries’ commitment to advancing quantum science responsibly while promoting shared values of openness, ethics and excellence.

Under the partnership, the two nations will enhance research and development ties, encourage open data sharing, and cultivate a skilled talent pipeline. They also aim to boost global competitiveness in quantum technologies, fostering new opportunities for market expansion and secure supply chains.

Canadian Minister Mélanie Joly highlighted that the cooperation showcases a shared ambition to accelerate progress in health care, clean energy and defence.

Denmark’s Minister for Higher Education and Science, Christina Egelund, described Canada as a vital partner in scientific innovation. At the same time, Minister Evan Solomon stressed the agreement’s role in empowering researchers to deliver breakthroughs that shape the future of quantum technologies.

Both Canada and Denmark are recognised as global leaders in quantum science, working together through initiatives such as the NATO Transatlantic Quantum Community.

A partnership that supports Canada’s National Quantum Strategy, launched in 2023, and reinforces its shared goal of driving innovation for sustainable growth and collective security.

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EU conference highlights the need for collaboration in digital safety and growth

European politicians and experts gathered in Billund for the conference ‘Towards a Safer and More Innovative Digital Europe’, hosted by the Danish Parliament.

The discussions centred on how to protect citizens online while strengthening Europe’s technological competitiveness.

Lisbeth Bech-Nielsen, Chair of the Danish Parliament’s Digitalisation and IT Committee, stated that the event demonstrated the need for the EU to act more swiftly to harness its collective digital potential.

She emphasised that only through cooperation and shared responsibility can the EU match the pace of global digital transformation and fully benefit from its combined strengths.

The first theme addressed online safety and responsibility, focusing on the enforcement of the Digital Services Act, child protection, and the accountability of e-commerce platforms importing products from outside the EU.

Participants highlighted the importance of listening to young people and improving cross-border collaboration between regulators and industry.

The second theme examined Europe’s competitiveness in emerging technologies such as AI and quantum computing. Speakers called for more substantial investment, harmonised digital skills strategies, and better support for businesses seeking to expand within the single market.

A Billund conference emphasised that Europe’s digital future depends on striking a balance between safety, innovation, and competitiveness, which can only be achieved through joint action and long-term commitment.

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Brain-inspired networks boost AI performance and cut energy use

Researchers at the University of Surrey have developed a new method to enhance AI by imitating how the human brain connects information. The approach, called Topographical Sparse Mapping, links each artificial neuron only to nearby or related ones, replicating the brain’s efficient organisation.

According to findings published in Neurocomputing, the structure reduces redundant connections and improves performance without compromising accuracy. Senior lecturer Dr Roman Bauer said intelligent systems can now be designed to consume less energy while maintaining power.

Training large models today often requires over a million kilowatt-hours of electricity, a trend he described as unsustainable.

An advanced version, Enhanced Topographical Sparse Mapping, introduces a biologically inspired pruning process that refines neural connections during training, similar to how the brain learns.

Researchers believe that the system could contribute to more realistic neuromorphic computers, which simulate brain functions to process data more efficiently.

The Surrey team said that such a discovery may advance generative AI systems and pave the way for sustainable large-scale model training. Their work highlights how lessons from biology can shape the next generation of energy-efficient computing.

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Korea ramps up AI infrastructure with NVIDIA partnership

South Korea is accelerating its AI development through a major partnership with NVIDIA, deploying over 260,000 GPUs across government, cloud providers, and industrial leaders.

The Ministry of Science and ICT is investing in sovereign AI infrastructure, while companies including Samsung, SK Group, Hyundai, and NAVER Cloud are building AI factories and expanding GPU capacity to support physical and enterprise AI workloads.

The initiative seeks to boost innovation in manufacturing, automotive, and telecoms, supporting large-scale AI model training, validation, and deployment.

Korean organisations are developing sovereign large language models through public-private partnerships with LG AI Research, SK Telecom, NC AI, Upstage, and NVIDIA.

The infrastructure will allow startups, researchers, and enterprises to access high-performance computing for AI applications and industrial digital twins.

Korea is also advancing AI-enabled quantum computing and scientific research. The Korea Institute of Science and Technology Information (KISTI) is creating a Center of Excellence using NVIDIA supercomputers, NVQLink for quantum processors, and PhysicsNeMo for physics-based AI models.

The goal is to strengthen research collaboration, AI innovation, and economic growth. Startups gain support through NVIDIA Inception and N-Up AI programs, accessing computing infrastructure, AI tools, and investment guidance to speed growth and industrial AI adoption.

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Alliance science pact lifts US–Korea cooperation on AI, quantum, 6G, and space

The United States and South Korea agreed on a broad science and technology memorandum to deepen alliance ties and bolster Indo-Pacific stability. The non-binding pact aims to accelerate innovation while protecting critical capabilities. Both sides cast it as groundwork for a new Golden Age of Innovation.

AI sits at the centre. Plans include pro-innovation policy alignment, trusted exports across the stack, AI-ready datasets, safety standards, and enforcement of compute protection. Joint metrology and standards work links the US Center for AI Standards and Innovation with the AI Safety Institute of South Korea.

Trusted technology leadership extends beyond AI. The memorandum outlines shared research security, capacity building for universities and industry, and joint threat analysis. Telecommunications cooperation targets interoperable 6G supply chains and coordinated standards activity with industry partners.

Quantum and basic research are priority growth areas. Participants plan interoperable quantum standards, stronger institutional partnerships, and secured supply chains. Larger projects and STEM exchanges aim to widen collaboration, supported by shared roadmaps and engagement in global consortia.

Space cooperation continues across civil and exploration programmes. Strands include Artemis contributions, a Korean cubesat rideshare on Artemis II, and Commercial Lunar Payload Services. The Korea Positioning System will be developed for maximum interoperability with GPS.

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IBM unveils Digital Asset Haven for secure institutional blockchain management

IBM has introduced Digital Asset Haven, a unified platform designed for banks, corporations, and governments to securely manage and scale their digital asset operations. The platform manages the full asset lifecycle from custody to settlement while maintaining compliance.

Built with Dfns, the platform combines IBM’s security framework with Dfns’ custody technology. The Dfns platform supports 15 million wallets for 250 clients, providing multi-party authorisation, policy governance, and access to over 40 blockchains.

IBM Digital Asset Haven includes tools for identity verification, crime prevention, yield generation, and developer-friendly APIs for extra services. Security features include Multi-Party Computation, HSM-based signing, and quantum-safe cryptography to ensure compliance and resilience.

According to IBM’s Tom McPherson, the platform gives clients ‘the opportunity to enter and expand into the digital asset space backed by IBM’s level of security and reliability.’ Dfns CEO Clarisse Hagège said the partnership builds infrastructure to scale digital assets from pilots to global use.

IBM plans to roll out Digital Asset Haven via SaaS and hybrid models in late 2025, with on-premises deployment expected in 2026.

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