Quantum state-space is characterized by fixed 2-norm and 3-norm constraints for pure states and a variance lower bound for all states, using only probabilities from a single complex-projective 3-design reference measurement.
Qudit Shadow Estimation Based on the Clifford Group and the Power of a Single Magic Gate
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abstract
Shadow estimation is a sample-efficient protocol for learning the properties of a quantum system using randomized measurements, but the current understanding of qudit shadow estimation is quite limited compared with the qubit setting. Here we clarify the sample complexity of qudit shadow estimation based on the Clifford group, where the local dimension $d$ is an odd prime. Notably, we show that the overhead of qudit shadow estimation over the qubit counterpart is only $\mathcal{O}(d)$, independent of the qudit number $n$, although the set of stabilizer states may deviate exponentially from a 3-design with respect to the third moment operator. Furthermore, by adding one layer of magic gates, we propose a simple circuit that can significantly boost the efficiency. Actually, a single magic gate can already eliminate the $\mathcal{O}(d)$ overhead in qudit shadow estimation and bridge the gap from the qubit setting.
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Characterizing quantum state-space with a single quantum measurement
Quantum state-space is characterized by fixed 2-norm and 3-norm constraints for pure states and a variance lower bound for all states, using only probabilities from a single complex-projective 3-design reference measurement.