Quantum computers promise to solve problems that would take even the fastest conventional supercomputers a vast amount of time, but the quantum information they store and process is extremely sensitive to even tiny disturbances from their surroundings. To keep these systems operating reliably, they need to be constantly recalibrated—interrupting their calculations in the process.
In a new experiment published in Nature, researchers led by Volodymyr Sivak at Google Quantum AI developed a machine-learning approach that continuously adjusts a quantum computer as it works. Their approach could allow quantum calculations to run far longer without costly interruptions.
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