<p>The rapid development of quantum technology demands efficient characterization of complex quantum many-body states. However, full quantum state tomography requires an exponential number of measurements in system size, preventing its practical use in large-scale quantum devices. A major recent breakthrough in this direction, called classical shadow tomography, significantly reduces the sample complexity, the number of samples needed to estimate properties of a state, by implementing random Clifford rotations before measurements. Despite many recent efforts, reducing the sample complexity below <b>2</b><sup><Emphasis Type="BoldItalic">k</Emphasis></sup> for extracting any non-successive local operators with a size ~ <Emphasis Type="BoldItalic">k</Emphasis> remains a challenge. In this work, we achieve a significantly smaller sample complexity of ~ <b>1.8</b><sup><Emphasis Type="BoldItalic">k</Emphasis></sup> using a protocol that hybridizes locally random and globally deterministic unitary operations. The key insight is the discovery of a deterministic global unitary, termed as <i>contractive unitary</i>, which is more efficient in reducing the operator size to enhance tomography efficiency. The contractive unitary perfectly matches the advantages of the atom array quantum computation platform and is readily realized in the atom array quantum processor. More importantly, it highlights a new strategy in classical shadow tomography, demonstrating that a random-deterministic hybridized protocol can be more efficient than fully random measurements.</p>

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Contractive unitary and classical shadow tomography

  • Yadong Wu,
  • Ce Wang,
  • Juan Yao,
  • Hui Zhai,
  • Yi-Zhuang You,
  • Pengfei Zhang

摘要

The rapid development of quantum technology demands efficient characterization of complex quantum many-body states. However, full quantum state tomography requires an exponential number of measurements in system size, preventing its practical use in large-scale quantum devices. A major recent breakthrough in this direction, called classical shadow tomography, significantly reduces the sample complexity, the number of samples needed to estimate properties of a state, by implementing random Clifford rotations before measurements. Despite many recent efforts, reducing the sample complexity below 2k for extracting any non-successive local operators with a size ~ k remains a challenge. In this work, we achieve a significantly smaller sample complexity of ~ 1.8k using a protocol that hybridizes locally random and globally deterministic unitary operations. The key insight is the discovery of a deterministic global unitary, termed as contractive unitary, which is more efficient in reducing the operator size to enhance tomography efficiency. The contractive unitary perfectly matches the advantages of the atom array quantum computation platform and is readily realized in the atom array quantum processor. More importantly, it highlights a new strategy in classical shadow tomography, demonstrating that a random-deterministic hybridized protocol can be more efficient than fully random measurements.