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@ -174,11 +174,6 @@ Say $[x] = [\nicefrac{2}{3}, \nicefrac{1}{3}]$ and $[y] = [\nicefrac{3}{4}, \nic
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\problem{}
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With $x$ and $y$ defined as above, find the probability of measuring each of \texttt{00}, \texttt{01}, \texttt{10}, and \texttt{11}.
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\vfill
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\problem{}
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Say $[x] = [\nicefrac{2}{3}, \nicefrac{1}{3}]$ and $[y] = [\nicefrac{3}{4}, \nicefrac{1}{4}]$. \par
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What is the probability that $x$ and $y$ produce different outcomes?
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@ -324,27 +319,30 @@ In other words, what is the set of vectors that can be written as linear combina
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\vfill
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Look through the above problems and convince yourself of the following fact: \par
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If $a$ is a basis of $A$ and $b$ is a basis of $B$, $a \otimes b$ is a basis of $A \times B$. \par
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\note{If you don't understand what this says, ask an instructor. \\ This is the reason we did the last few problems!}
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\begin{instructornote}
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\textbf{The idea here is as follows:}
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If $a$ is in $\{\texttt{0}, \texttt{1}\}$ and $b$ is in $\{\texttt{0}, \texttt{1}\}$,
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the values $ab$ can take are
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$\{\texttt{0}, \texttt{1}\} \times \{\texttt{0}, \texttt{1}\} = \{\texttt{00}, \texttt{01}, \texttt{10}, \texttt{11}\}$.
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\vspace{2mm}
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The same is true of any other state set: if $a$ takes values in $A$ and $b$ takes values in $B$, \par
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the compound state $(a,b)$ takes values in $A \times B$.
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\vspace{2mm}
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We would like to do the same with probabilistic bits. \par
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Given bits $\ket{a}$ and $\ket{b}$, how should we represent the state of $\ket{ab}$?
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\end{instructornote}
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% This is wrong, but there's something here.
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% maybe fix later?
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%
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%Look through the above problems and convince yourself of the following fact: \par
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%If $a$ is a basis of $A$ and $b$ is a basis of $B$, $a \otimes b$ is a basis of $A \times B$. \par
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%\note{If you don't understand what this says, ask an instructor. \\ This is the reason we did the last few problems!}
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%
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%\begin{instructornote}
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% \textbf{The idea here is as follows:}
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%
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% If $a$ is in $\{\texttt{0}, \texttt{1}\}$ and $b$ is in $\{\texttt{0}, \texttt{1}\}$,
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% the values $ab$ can take are
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% $\{\texttt{0}, \texttt{1}\} \times \{\texttt{0}, \texttt{1}\} = \{\texttt{00}, \texttt{01}, \texttt{10}, \texttt{11}\}$.
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%
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% \vspace{2mm}
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%
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% The same is true of any other state set: if $a$ takes values in $A$ and $b$ takes values in $B$, \par
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% the compound state $(a,b)$ takes values in $A \times B$.
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%
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% \vspace{2mm}
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%
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% We would like to do the same with probabilistic bits. \par
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% Given bits $\ket{a}$ and $\ket{b}$, how should we represent the state of $\ket{ab}$?
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%\end{instructornote}
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\pagebreak
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@ -453,7 +451,7 @@ Consider the NOT gate, which operates as follows: \par
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\end{itemize}
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What should NOT do to a probabilistic bit $[x_0, x_1]$? \par
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If we return to our coin analogy, we can think of the NOT operation as
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flipping a coin we have already tossed, without looking at it's state.
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flipping a coin we have already tossed, without looking at its state.
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Thus,
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\begin{equation*}
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\text{NOT} \begin{bmatrix}
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@ -544,8 +542,8 @@ Find the matrix that represents the NOT operation on one probabilistic bit.
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\problem{Extension by linearity}
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Say we have an arbitrary operation $A$. \par
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If we know how $A$ acts on $[1]$ and $[0]$, can we compute $A[x]$ for an arbitrary state $[x]$? \par
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Say we have an arbitrary operation $M$. \par
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If we know how $M$ acts on $[1]$ and $[0]$, can we compute $M[x]$ for an arbitrary state $[x]$? \par
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Say $[x] = [x_0, x_1]$.
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\begin{itemize}
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\item What is the probability we observe $0$ when we measure $x$?
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