Efficient quantum state tomography with auxiliary systems
Wenlong Zhao, Da Zhang, Huili Zhang, Haifeng Yu, Zhang-qi Yin

TL;DR
This paper introduces an efficient quantum state tomography method using auxiliary systems, significantly reducing measurement complexity and sampling requirements for large quantum systems, with practical schemes for purity measurement.
Contribution
The study presents a novel tomography approach leveraging auxiliary systems that requires only two measurement settings and achieves $O(d^2)$ sampling complexity, improving scalability.
Findings
Requires only two measurement settings
Achieves $O(d^2)$ sampling complexity
Provides schemes for Heisenberg-limited purity measurement
Abstract
Quantum state tomography is a technique in quantum information science used to reconstruct the density matrix of an unknown quantum state, providing complete information about the quantum state. It is of significant importance in fields such as quantum computation, quantum communication, and quantum simulation. However, as the size of the quantum system increases, the number of measurement settings and sampling requirements for quantum state tomography grow exponentially with the number of qubits. This not only makes experimental design and implementation more complex, but also exacerbates the consumption of experimental resources. These limitations severely hinder the application of state tomography in large-scale quantum systems. To reduce measurement settings and improve sampling efficiency, this study proposes a state tomography method based on auxiliary systems. This method can be…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum-Dot Cellular Automata
