Optimal convex approximations of quantum states
classification
🪐 quant-ph
keywords
convexoptimalstatesstateavailablemixingproblemquantum
read the original abstract
We consider the problem of optimally approximating an unavailable quantum state $\rho $ by the convex mixing of states drawn from a set of available states $\{ \nu_i\}$. The problem is recast to look for the least distinguishable state from $\rho $ among the convex set $\sum_i p_i \nu_i$, and the corresponding optimal weights $\{ p_i \}$ provide the optimal convex mixing. We present the complete solution for the optimal convex approximation of a qubit mixed state when the set of available states comprises the three bases of the Pauli matrices.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.