Quantum computers in silicon
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Updates every hour. Last Updated: 22-Jun-2025 07:10 ET (22-Jun-2025 11:10 GMT/UTC)
AI tools are increasingly being used to track and monitor us both online and in-person, yet their effectiveness comes with big risks. Computer scientists at the Oxford Internet Institute, Imperial College London, and UCLouvain have developed a new mathematical model which could help people better understand the risks posed by AI and assist regulators in protecting peoples’ privacy. The findings have been published today (9 January) in Nature Communications.
Quantum computers require extreme cooling to perform reliable calculations. One of the challenges preventing quantum computers from entering society is the difficulty of freezing the qubits to temperatures close to absolute zero. Now, researchers at Chalmers University of Technology, Sweden, and the University of Maryland, USA, have engineered a new type of refrigerator that can autonomously cool superconducting qubits to record low temperatures, paving the way for more reliable quantum computation.
A new technique can reset bits in quantum computers highly effectively, a critical task for successful quantum computing. The technique uses heat flow between different sections of a refrigerator to reset these “qubits,” the first time this method has been harnessed for a practical purpose. This method could lead to more reliable, less error-prone quantum computers.