首页|New Machine Learning Findings from University of Colorado Boulder Outlined (Hami ltonian Learning Using Machine-learning Models Trained With Continuous Measureme nts)
New Machine Learning Findings from University of Colorado Boulder Outlined (Hami ltonian Learning Using Machine-learning Models Trained With Continuous Measureme nts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Boulder, Colorado, by NewsR x editors, research stated, “We build upon recent work on the useof machine-lea rning models to estimate Hamiltonian parameters using continuous weak measuremen tof qubits as input. We consider two settings for the training of our model: (1 ) supervised learning,where the weak-measurement training record can be labeled with known Hamiltonian parameters, and (2)unsupervised learning, where no labe ls are available.”
BoulderColoradoUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversit y of Colorado Boulder
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