The world is full of biological learning machines, and one instance of those discovered that the world is quantum. Can we build engineered learning machines to control the quantum world better than humans can? In this FirstPrinciples Talk, Gerard Milburn, Quantum Fellow at the National Quantum Computing Centre will explain the physical constraints on learning machines using the principles of stochastic quantum thermodynamics. He will also discuss how populations of learning machines, doing automated quantum experiments, could lead to new technologies that escape human understanding. Finally, he will describe how space and time can emerge as learned features in a multi agent setting, with implications for reconciling gravity and quantum.
The world is full of biological learning machines, and one instance of those discovered that the world is quantum. Can we build engineered learning machines to control the quantum world better than humans can? In this FirstPrinciples Talk, Gerard Milburn, Quantum Fellow at the National Quantum Computing Centre will explain the physical constraints on learning machines using the principles of stochastic quantum thermodynamics. He will also discuss how populations of learning machines, doing automated quantum experiments, could lead to new technologies that escape human understanding. Finally, he will describe how space and time can emerge as learned features in a multi agent setting, with implications for reconciling gravity and quantum.
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