Multi-qubit State Tomography with Few Pauli Measurements

• Published in: arXiv.org
• Main Authors: Chai, Xudan, Teng, Ma, Guo, Qihao, Yin, Zhangqi, Wu, Hao, Zhao, Qing
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 31.05.2023
• Subjects: Accuracy; Algorithms; Computer simulation; Data processing; Density; Quantum computing; Quantum phenomena; Qubits (quantum computing); Robustness (mathematics); Tomography

In quantum information transformation and quantum computation, the most critical issues are security and accuracy. These features, therefore, stimulate research on quantum state characterization. A characterization tool, Quantum state tomography, reconstructs the density matrix of an unknown quantum state. Theoretically, reconstructing an unknown state using this method can be arbitrarily accurate. However, this is less practical owing to the huge burden of measurements and data processing for large numbers of qubits. Even comprising an efficient estimator and a precise algorithm, an optimal tomographic framework can also be overburdened owing to the exponential growth of the measurements. Moreover, the consequential postprocessing of huge amounts of data challenges the capacity of computers. Thus, it is crucial to build an efficient framework that requires fewer measurements but yields an expected accuracy. To this end, we built a tomography schema by which only a few Pauli measurements enable an accurate tomographic reconstruction. Subsequently, this schema was verified as efficient and accurate through numerical simulations on the tomography of multi-qubit quantum states. Furthermore, this schema was proven to be robust through numerical simulations on a noisy superconducting qubit system. Therefore, the tomography schema paves an alternatively effective way to reconstruct the density matrix of a quantum state owing to its efficiency and accuracy, which are essential for quantum state tomography.