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Hypothesis tests for large density matrices of quantum systems based on Pauli measurements
- Source :
- Physica A: Statistical Mechanics and its Applications. 469:31-51
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- For a quantum system, its density matrix usually has a size growing exponentially with the number of particles in the system, and quantum state tomography techniques often encounter an exponential complexity problem for recovering the density matrix based on experimental data. Recent statistical methods for estimating a large density matrix have been developed for the cases that (i) the entries of the density matrix with respect to the Pauli basis are sparse, or (ii) the density matrix has a low rank, and its eigenvectors are sparse. Their performances depend on the assumed structures, and it is important to test for the structures and choose appropriate estimation methods accordingly. This paper investigates hypothesis tests for sparsity. Specifically, we propose hypothesis test procedures and establish asymptotic theories for the proposed tests. Numerical studies are conducted to check the finite sample performances of the proposed hypothesis tests.
- Subjects :
- Statistics and Probability
Density matrix
Pure mathematics
Pauli matrices
Rank (linear algebra)
Quantum tomography
Condensed Matter Physics
01 natural sciences
010104 statistics & probability
symbols.namesake
Pauli exclusion principle
0103 physical sciences
symbols
Quantum system
Statistical physics
0101 mathematics
010306 general physics
Eigenvalues and eigenvectors
Statistical hypothesis testing
Mathematics
Subjects
Details
- ISSN :
- 03784371
- Volume :
- 469
- Database :
- OpenAIRE
- Journal :
- Physica A: Statistical Mechanics and its Applications
- Accession number :
- edsair.doi...........f662bdbc035fea75ef692d14e20a5a87