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Quantum Computing: Future Outlook: Scenarios, Signals, and Open Questions

Quantum computing is an emerging technology that uses the quantum‑mechanical properties of qubits—units that can exist in superposition and become entangled—to perform calculations that are infeasible for classical computers. The most promising near‑term uses are in chemistry and materials simulation, …

Quantum Computing: Policy, Regulation, and Institutional Considerations

Quantum computing promises dramatic speed‑ups for a narrow set of problems, such as simulating quantum systems, optimisation, drug discovery and materials design, and could generate up to $2.7 trillion in global economic value by 2035 (McKinsey Insights). Major commercial efforts …

Quantum Computing: Competitive Landscape and Emerging Opportunities

Quantum computing harnesses quantum bits (qubits) that can exist in superposition and become entangled, enabling certain calculations to be performed far more efficiently than with classical bits. The competitive landscape today is defined by a handful of startups pursuing distinct …

Quantum Computing: Risks, Tradeoffs, and Governance Questions

Quantum computing harnesses the principles of quantum mechanics—superposition and entanglement—to perform certain calculations far faster than classical computers. Current hardware is still nascent; qubits are fragile and require extensive noise reduction and error‑correction to become fault‑tolerant, as noted in the …

Quantum Computing: How the Field Is Changing and What Is Driving the Change

Quantum computing is an emerging field that leverages quantum bits, or qubits, which can exist in superposition (both 0 and 1 simultaneously) and become entangled so that the state of one qubit instantly influences another. Two leading hardware approaches are …

Quantum Computing: Current Trends, Evidence, and Practical Implications

Quantum computing harnesses qubits—quantum bits that can exist in superposition and become entangled—to perform specialized calculations that are infeasible for classical processors. Unlike classical bits that are simply 0 or 1, qubits can represent 0 and 1 simultaneously, but this …

Robotics: Future Outlook: Scenarios, Signals, and Open Questions

Robotics: Future Outlook – Scenarios, Signals, and Open Questions

Concept Robotics is moving from isolated, single‑purpose machines toward versatile platforms that can safely operate alongside humans. The upcoming Digit 5 humanoid, for example, aims to be the first robot that …

Robotics: How the Field Is Changing and What Is Driving the Change

Robotics is undergoing rapid transformation driven by advances in artificial intelligence, miniaturisation, and new actuation methods. AI‑enhanced control algorithms are now giving tiny flying robots insect‑like agility and a 450 % speed boost, opening possibilities for search‑and‑rescue in confined spaces …

Semiconductors: Future Outlook: Scenarios, Signals, and Open Questions

Semiconductors are central to the next wave of AI‑driven computing, and their future outlook can be framed in terms of three scenarios, key signals, and open questions.

Concept: By 2030, AI inference is projected to consume about 60 % …

Semiconductors: How the Field Is Changing and What Is Driving the Change

Semiconductors are the core components that enable electronic devices to process information, and recent advances are reshaping the field in several ways. One major driver is the continued scaling of chip geometries—a trend known as Moore’s Law—made possible by nanotechnology. …