Chinese scientists put quantum chaos in slow motion

Chinese researchers have controlled a temporary stable phase in quantum systems, putting quantum chaos in slow motion and offering a possible avenue for preserving quantum information. This allows scientists to tune the speed of quantum decoherence, providing a vital tool for managing complex quantum environments.

Researchers from the Institute of Physics at the Chinese Academy of Sciences have reported in Nature that they used a superconducting quantum processor to control a temporary stable phase in quantum systems, known as prethermalization. This achievement slows quantum chaos, akin to nudging a pendulum: it swings for a while but eventually slows and stops.

Led by Fan Heng, the team observed that when a quantum system is disturbed, it naturally returns to equilibrium, with energy and information spreading until evenly distributed. By tuning the system, they extended this stable phase, offering longer preservation of quantum information. This could benefit applications like quantum computing and quantum key distribution, potentially enhancing security in systems similar to RSA.

Fan Heng stated that the finding provides a new tool for quantum information processing, aiding in handling complex quantum environments. The study was published on February 20, 2026, highlighting China's advances in quantum science.

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Researchers in China have demonstrated heat flowing from cold to hot in a quantum system, potentially requiring updates to the second law of thermodynamics. Using a molecule as qubits, the team manipulated quantum information to achieve this reversal. The finding highlights differences between classical and quantum physics.

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Researchers have used quantum superposition to help qubits violate a fundamental quantum limit, allowing them to maintain information five times longer. This breakthrough involves a three-qubit system that demonstrates extreme correlations over time. The finding could enhance quantum computing and metrology applications.

Researchers have discovered that entropy remains constant during the transition from a chaotic quark-gluon state to stable particles in proton collisions at the Large Hadron Collider. This unexpected stability serves as a direct signature of quantum mechanics' unitarity principle. The finding, based on refined models and LHC data, challenges initial intuitions about the process's disorder.

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Researchers have mathematically shown that a quantum neural network could help measure hard-to-access properties of quantum objects, potentially cheating the Heisenberg uncertainty principle. By injecting randomness into the network, scientists might determine multiple incompatible properties more precisely. This approach could speed up applications in quantum computing and chemistry.

 

 

 

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