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Danny Boy
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The Fundamental Theorem of Quantum Measurements (see page 25 of these PDF notes) is given as follows:
Every set of operators ##\{A_n \}_n## where ##n=1,...,N## that satisfies ##\sum_{n}A_{n}A^{\dagger}_{n} = I##, describes a possible measurement on a quantum system, where the measurement has ##n## possible outcomes labeled by ##n##. If ##\rho## is the state of the system before the measurement, ##\tilde{\rho}_n## is the state of the system upon obtaining measurement result $n$, and $p_n$ is the probability of obtaining result ##n##, then $$\tilde{\rho}_{n} = \frac{A_n \rho A_{n}^{\dagger}}{p_n}~~~~\text{where}~~~~p_n = \text{Tr}[A_{n}^{\dagger}A_n \rho].$$We refer to the operators ##\{ A_n \}_n## as the measurement operators for the measurement.
Query: Consider measurement operators ##\{A_c \}_c## where now the measurement outcomes ##c## is considered a continuous index rather than discrete as above. For example a Gaussian measurement of the form $$A_{c} = \int_{-\infty}^{\infty}\frac{e^{-(x'-c)^2}/(4V)}{(2 \pi V)^{1/4}}|x' \rangle \langle x' |dx'.$$
In this case of continuous measurement outcomes ##c##, it would seem based on the theorem above that ##p_c## now gives the probability density rather than the probability. Hence am I correct in stating that the probability of getting an outcome from some subset ##\mathcal{M}## is given by $$Pr(c \in \mathcal{M}) = \int_{\mathcal{M}} p_c dc = \int_{\mathcal{M}} \text{Tr}[A_{c}^{\dagger}A_{c} \rho]dc$$ and that the final state should then be given by $$\tilde{\rho} = \int_{\mathcal{M}}p_c [A_c^{\dagger}\rho A_c]dc = \int_{\mathcal{M}}\text{Tr}[A_{c}^{\dagger}A_{c} \rho]A_c \rho A_c^{\dagger} dc $$
Please advise on this, thanks.
Every set of operators ##\{A_n \}_n## where ##n=1,...,N## that satisfies ##\sum_{n}A_{n}A^{\dagger}_{n} = I##, describes a possible measurement on a quantum system, where the measurement has ##n## possible outcomes labeled by ##n##. If ##\rho## is the state of the system before the measurement, ##\tilde{\rho}_n## is the state of the system upon obtaining measurement result $n$, and $p_n$ is the probability of obtaining result ##n##, then $$\tilde{\rho}_{n} = \frac{A_n \rho A_{n}^{\dagger}}{p_n}~~~~\text{where}~~~~p_n = \text{Tr}[A_{n}^{\dagger}A_n \rho].$$We refer to the operators ##\{ A_n \}_n## as the measurement operators for the measurement.
Query: Consider measurement operators ##\{A_c \}_c## where now the measurement outcomes ##c## is considered a continuous index rather than discrete as above. For example a Gaussian measurement of the form $$A_{c} = \int_{-\infty}^{\infty}\frac{e^{-(x'-c)^2}/(4V)}{(2 \pi V)^{1/4}}|x' \rangle \langle x' |dx'.$$
In this case of continuous measurement outcomes ##c##, it would seem based on the theorem above that ##p_c## now gives the probability density rather than the probability. Hence am I correct in stating that the probability of getting an outcome from some subset ##\mathcal{M}## is given by $$Pr(c \in \mathcal{M}) = \int_{\mathcal{M}} p_c dc = \int_{\mathcal{M}} \text{Tr}[A_{c}^{\dagger}A_{c} \rho]dc$$ and that the final state should then be given by $$\tilde{\rho} = \int_{\mathcal{M}}p_c [A_c^{\dagger}\rho A_c]dc = \int_{\mathcal{M}}\text{Tr}[A_{c}^{\dagger}A_{c} \rho]A_c \rho A_c^{\dagger} dc $$
Please advise on this, thanks.
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