Circuit optimization of qubit IC-POVMs for shadow estimation
Zhou You, Qing Liu, You Zhou

TL;DR
This paper improves the implementation of qubit IC-POVMs for shadow estimation by reducing CNOT gate counts using a dimension dilation framework, enhancing practicality and noise resilience in quantum measurements.
Contribution
It introduces a method to implement single-qubit IC-POVMs with at most 2 CNOTs and SIC-POVMs with only 1 CNOT, along with an efficient compilation algorithm.
Findings
Single-qubit IC-POVMs require at most 2 CNOT gates.
SIC-POVMs can be implemented with only 1 CNOT gate.
Optimized circuits show noise-resilient performance in shadow estimation.
Abstract
Extracting information from quantum systems is crucial in quantum physics and information processing. Methods based on randomized measurements, like shadow estimation, show advantages in effectively achieving such tasks. However, randomized measurements require the application of random unitary evolution, which unavoidably necessitates frequent adjustments to the experimental setup or circuit parameters, posing challenges for practical implementations. To address these limitations, positive operator-valued measurements (POVMs) have been integrated to realize real-time single-setting shadow estimation. In this work, we advance the POVM-based shadow estimation by reducing the CNOT gate count for the implementation circuits of informationally complete POVMs (IC-POVMs), in particular, the symmetric IC-POVMs (SIC-POVMs), through the dimension dilation framework. We show that any single-qubit…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Quantum Computing Algorithms and Architecture · CCD and CMOS Imaging Sensors
