2017/06/09 by H. Sosa-Martinez, Nathan Lysne, N. K. Lysne +8
Computer Science · Physics and Astronomy · #Algorithm #Artificial intelligence #Computer engineering #Computer science #Optics #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum and electron transport phenomena #Quantum mechanics #Quantum state #Quantum tomography #State (computer science) #Statistical physics #Tomography #Variety (cybernetics) #physics.atom-ph #quant-ph
paper · pdf · doi:10.1103/physrevlett.119.150401
published as Phys. Rev. Lett. 119, 150401 (2017) · 5 pages, 3 figures
arxiv created 2017/06/09 · openalex publication_date 2017/10/13 · arxiv updated 2017/10/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
Quantum tomography is a critically important tool to evaluate quantum hardware, making it essential to develop optimized measurement strategies that are both accurate and efficient. We compare a variety of strategies using nearly pure test states. Those that are informationally complete for all states are found to be accurate and reliable even in the presence of errors in the measurements themselves, while those designed to be complete only for pure states are far more efficient but highly sensitive to such errors. Our results highlight the unavoidable trade-offs inherent in quantum tomography.