Quantum
In 2019 the estimate was 20 million noisy qubits and eight hours. In 2025 the same author, assuming the same hardware, put it under a million qubits and under a week. Nothing was built in between.
AI
The five most active investors in each of the four frontier markets, ranked on published fund size. Quantum has three dedicated funds in its top five. Robotics has none.
Quantum
Everything you need to understand entanglement-based networking in 2026: the physics, the hardware, the national programs, the companies, the honest limitations, and a realistic timeline.
Quantum
A balanced field guide to what actually changed in quantum computing this year: error correction, logical qubits, new hardware, and the first real problems being solved.
Quantum
A full review of QuEra: the technology, the science, the funding, the competition, and whether its atom-array approach can win the race to useful quantum computing.
AI
Deep tech means companies built on hard science and engineering breakthroughs like AI, quantum, robotics, biotech, and fusion.
AI
The 50 most-asked questions about deep tech in 2026, covering what it is, how it's funded, and the major domains.
Quantum
Key Takeaways National strategies provide the necessary structure to transition quantum breakthroughs from experimental labs into scalable economic assets. These frameworks coordinate public investment, manage geopolitical alignment, and address the inherent technical risks of the sector. * Governments use high-level mandates to prioritize quantum research and resource allocation. * Establishing a
Quantum
Key Takeaways Determining whether quantum computing is overhyped requires a rigorous look at the gap between academic research results and genuine enterprise utility. The sector is moving from experimental physics to engineering, yet significant hurdles remain in hardware reliability and error correction. * Quantum shift to hybrid architectures is essential for
Quantum
Key Takeaways Quantum computing is transitioning from noisy prototypes to architecture-oriented designs that emphasize error correction. This shift requires overcoming significant physical hurdles to ensure reliable computation at scale. * The industry is moving from NISQ devices to systems capable of active error management. * Physical qubit hardware must evolve to
Quantum
Key Takeaways Quantum algorithms are moving from theoretical research toward practical implementation in financial services. These advancements aim to solve previously intractable problems in optimization, security, and predictive modeling. * Quantum-classical hybrid workflows are bridging the gap between current hardware and production utility. * Portfolio optimization is shifting toward quantum annealing
Quantum
Key Takeaways Quantum computing represents a fundamental shift in how pharmaceuticals identify and develop new therapies. It offers a way to bypass the inherent computational constraints that have long limited traditional computer-aided drug design. * Improved accuracy in molecular simulation allows for more precise predictions of binding affinity. * Quantum entanglement