\(\mathcal{E}_A\)\(=\sum_b\)\(\mathcal{M}_{Ab}\) is a quantum channel with trace-preserving (TP) instead of trace non-increasing (TNI).
🧐 Do measurement superoperators \(\{\mathcal{M}_b\}\) describe any measurement?
Partially discarding outcomes: Discarding information about distinctions between outcomes \(c\in b\) which form subsets \((b)\) of different sizes coarse-graining
measurement superoperator
\(\mathcal{M}_{Ab}=\)\(\sum_{c\in b}\)\(M_{Abc}\bullet M_{Abc}^\dagger\)
This cannot describe by any POVM-measurements \(\mathcal{M}_{Ab}=M_{Ab}\bullet M_{Ab}^\dagger\)
incomplete measurement model with composite environment
⭐️⭐️⭐️ This model is better than POVM
Example
Maximally depolarizing channel:
\(U_{ABC}=\mathbb{S}_{AB}\otimes\mathbb{1}_C\), \(\mathbb{S}\) is a swap operator.
Probabilities for outcome c and outcome b are statistically independent
Post-POVM-measurement state depends only on control bit c, not b or \(\rho\)
Preparation state
\[\rho\geq 0, \text{ tr}\rho=1\]
Evolution CP-TP maps
\[\mathcal{E}\rho=\sum_b M_b\rho M_b^\dagger\\
\sum_b M_b^\dagger M_b=\mathbb{1}\]
Measurement instrument CP, TNI maps
\[p_b\rho_b=\sum_{c\in b} M_{bc}\rho M_{bc}^\dagger\stackrel{POVM}{=}M_b\rho M_b^\dagger\\
\sum_b\sum_{c\in b} M_{bc}\rho M_{bc}^\dagger=\mathbb{1}\stackrel{POVM}{=}\sum_bM_b\rho M_b^\dagger\]
Measurement effects
\[p_b=\text{tr}(E_b\rho_b)\\
E_b=\sum_{c\in b}M_{bc}^\dagger M_{bc}\stackrel{POVM}{=}M_{bc}^\dagger M_{bc}\\\sum_b E_b=\mathbb{1}\]
⭐️⭐️⭐️ POVM measurements are not general
Because it assumes max. information conservation (assume pure states) in evolution process
\(\rightarrow\) Incomplete information requires more general state-updates
⭐️⭐️⭐️ POVM measurements are fundamental
Every measurement can be simulated by POVM measurement \(\{M_{Abc}\}\) by discarding information \((\sum_{c\in b})\)
\(\rightarrow\) Incomplete information allows effect description for probability functions
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