Finnish team detects record-low energy with quantum sensor

May 21, 2026

由 AI 报道

Researchers in Finland have measured an energy signal smaller than one zeptojoule using a new calorimeter. The achievement opens pathways for improved quantum computing and searches for dark matter.

Academy Professor Mikko Möttönen led the team at Aalto University, working with IQM and the Technical Research Centre of Finland. They built the device from superconducting and normal-conducting metals that respond to minute temperature shifts. The sensor registered an electromagnetic pulse of 0.83 zeptojoules after careful filtering of microwave signals. This marks the first calorimetric measurement at such sensitivity, according to the researchers.

Quantum entanglement detected in hand-sized crystal

Researchers at TU Wien have found strong quantum entanglement in a centimeter-sized crystal made of cerium, palladium and silicon. The finding shows that macroscopic materials can exhibit collective quantum behavior. It was published in Nature Physics in 2026.

Physicists revive 1773 experiment to hunt dark matter

May 04, 2026 由 AI 报道

Researchers propose updating a 1773 experiment by Henry Cavendish to detect millicharged particles, a potential dark matter candidate. The design uses nested metal shells and could be 10,000 times more sensitive than past methods. The setup promises to be cheaper and faster than particle accelerators.

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University of Chicago team simplifies creation of entangled quantum states

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NASA's Cold Atom Lab resumes quantum experiments on space station

Physicists reverse quantum time flow to charge batteries

Researchers at Los Alamos National Laboratory have developed a method to effectively reverse time in quantum systems, enabling energy harvesting for potential use in quantum batteries. The technique counteracts the effects of measurements on qubits, making systems appear to run backwards. This could turn measurements into a thermodynamic resource.

Machine learning speeds discovery of two new superconductors

July 08, 2026 由 AI 报道

An international team has used artificial intelligence to identify two new superconducting materials, YRu3B2 and LuRu3B2. The approach combines machine learning with quantum calculations to accelerate the search for materials that conduct electricity without resistance.

July 07, 2026 06:46