Overview of Learning and Testing Stabilizer States
Abstract: In this talk, I will briefly overview some recent works on learning and testing stabilizer states. In the case of learning, the goal is, given copies of an unknown stabilizer state, the learner should exactly identity the unknown stabilizer state and in the case of testing, the goal is, given copies of an unknown state decide if the unknown state is close or far from the class of stabilizer states. For both these tasks, we have polynomial-time algorithms, and I will discuss these results in this talk.
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