(February 9, 2008) | Isaac L. Chuang and M. A. Nielsen
The paper by Isaac L. Chuang and M. A. Nielsen presents a systematic method for experimentally determining the evolution operators that describe the dynamics of a quantum mechanical black box, specifically an arbitrary open quantum system. The authors show that the most general transfer function of a quantum black box, which maps one density matrix to another, can be described by a linear mapping \(\mathcal{E}\). They provide a prescription for obtaining this mapping and demonstrate its application to one and two-qubit systems. The key result is that the quantum operation \(\mathcal{E}\) can be completely characterized by a matrix of complex numbers \(\chi\), which can be experimentally determined through state tomography. The paper also discusses the implications of this method for evaluating various performance metrics, such as fidelity, entanglement fidelity, and quantum channel capacity. Additionally, the authors explore the geometric interpretation of quantum operations using the Bloch vector and the polar decomposition of the corresponding matrix. The method is applicable to a wide range of quantum systems, including quantum cryptography, quantum computing, and quantum error correction.The paper by Isaac L. Chuang and M. A. Nielsen presents a systematic method for experimentally determining the evolution operators that describe the dynamics of a quantum mechanical black box, specifically an arbitrary open quantum system. The authors show that the most general transfer function of a quantum black box, which maps one density matrix to another, can be described by a linear mapping \(\mathcal{E}\). They provide a prescription for obtaining this mapping and demonstrate its application to one and two-qubit systems. The key result is that the quantum operation \(\mathcal{E}\) can be completely characterized by a matrix of complex numbers \(\chi\), which can be experimentally determined through state tomography. The paper also discusses the implications of this method for evaluating various performance metrics, such as fidelity, entanglement fidelity, and quantum channel capacity. Additionally, the authors explore the geometric interpretation of quantum operations using the Bloch vector and the polar decomposition of the corresponding matrix. The method is applicable to a wide range of quantum systems, including quantum cryptography, quantum computing, and quantum error correction.