Quantum Tomography
By Giacomo Mauro D'Ariano, Matteo G. A. Paris, M. Sacchi. 2003
310 citations recorded by the source corpus.
This is the draft version of a review paper which is going to appear in"Advances in Imaging and Electron Physics"
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics
View Paper: https://www.semanticscholar.org/paper/dabc4e3543e3b22a58397773686df03f9664c10d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- John Preskill
- Hsin-Yuan Huang
- Guang Hao Low
- Richard Kueng
- Isaac L. Chuang
- Aram Wettroth Harrow
- Nengkun Yu
- Jeongwan Haah
In Atomic and Molecular Physics, and Optics
- Hsin-Yuan Huang
- Guang Hao Low
- Richard Kueng
- John Preskill
- Isaac L. Chuang
- Aram Wettroth Harrow
- Jeongwan Haah
- Nengkun Yu
Citations in the corpus
- Predicting many properties of a quantum system from very few measurements (2020, background): “Constructive protocols [35, 55] saturate this bound, but require entangled circuits and measurements that act on all state copies simultaneously.”
- Hamiltonian Simulation by Qubitization (2016, methodology): “As Hermitian operators are also quantum observables, our methodology also offers a new approach for implementing arbitrary functions of measurement operators on quantum states [1, 13, 24, 38].”
- Sample-Optimal Tomography of Quantum States (2015, methodology): “These imply an Ω( dr ) lower bound on the number of copies needed when (cid:15) is constant [39, 48, 49] and has been used in [20] to argue an ˜Ω( r 2 d 2 ) lower bound on the number of copies needed for constant accuracy using adaptive Pauli measurements.”