This work marks the first practical use of boson sampling, long seen as a key demonstration of quantum computing’s potential to outperform classical methods.

The researchers used computer simulations to model a quantum optical experiment that recognizes images using just three photons, successfully identifying images from several well-known datasets.

This paves the way towards future applications of quantum AI in complex image recognition, and represents a step toward low-resource, energy-efficient quantum computing.

The BMFTR-funded SPINNING project has successfully demonstrated that hybrid-integrable, scalable, and near-room-temperature solid-state quantum components represent a robust and energy-efficient alternative to established quantum computing hardware platforms. The developed spin qubits in diamond outperform comparable commercially available superconducting systems in terms of longer operation times and lower error rates. Photonic coupling over distances of more than 20 meters promises to serve as a foundation for more powerful distributed quantum computers.

Scientists from TU Delft (The Netherlands) have observed quantum spin currents in graphene for the first time without using magnetic fields. These currents are vital for spintronics, a faster and more energy-efficient alternative to electronics. This breakthrough, published in Nature Communications, marks an important step towards technologies like quantum computing and advanced memory devices.

Many early-career scientists continue their academic careers at the same university where they studied, a practice known as academic inbreeding. A researcher at the HSE Institute of Education analysed the impact of academic inbreeding on publication activity in the natural sciences and mathematics. The study found that the impact is ambiguous and depends on various factors, including the university's geographical location, its financial resources, and the state of the regional academic employment market. A paper with the study findings has been published in Research Policy.