Edits
This commit is contained in:
parent
39fafb4869
commit
acfb95831e
@ -174,11 +174,6 @@ Say $[x] = [\nicefrac{2}{3}, \nicefrac{1}{3}]$ and $[y] = [\nicefrac{3}{4}, \nic
|
||||
|
||||
|
||||
|
||||
\problem{}
|
||||
With $x$ and $y$ defined as above, find the probability of measuring each of \texttt{00}, \texttt{01}, \texttt{10}, and \texttt{11}.
|
||||
|
||||
\vfill
|
||||
|
||||
\problem{}
|
||||
Say $[x] = [\nicefrac{2}{3}, \nicefrac{1}{3}]$ and $[y] = [\nicefrac{3}{4}, \nicefrac{1}{4}]$. \par
|
||||
What is the probability that $x$ and $y$ produce different outcomes?
|
||||
@ -324,27 +319,30 @@ In other words, what is the set of vectors that can be written as linear combina
|
||||
|
||||
\vfill
|
||||
|
||||
Look through the above problems and convince yourself of the following fact: \par
|
||||
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
|
||||
\note{If you don't understand what this says, ask an instructor. \\ This is the reason we did the last few problems!}
|
||||
|
||||
\begin{instructornote}
|
||||
\textbf{The idea here is as follows:}
|
||||
|
||||
If $a$ is in $\{\texttt{0}, \texttt{1}\}$ and $b$ is in $\{\texttt{0}, \texttt{1}\}$,
|
||||
the values $ab$ can take are
|
||||
$\{\texttt{0}, \texttt{1}\} \times \{\texttt{0}, \texttt{1}\} = \{\texttt{00}, \texttt{01}, \texttt{10}, \texttt{11}\}$.
|
||||
|
||||
\vspace{2mm}
|
||||
|
||||
The same is true of any other state set: if $a$ takes values in $A$ and $b$ takes values in $B$, \par
|
||||
the compound state $(a,b)$ takes values in $A \times B$.
|
||||
|
||||
\vspace{2mm}
|
||||
|
||||
We would like to do the same with probabilistic bits. \par
|
||||
Given bits $\ket{a}$ and $\ket{b}$, how should we represent the state of $\ket{ab}$?
|
||||
\end{instructornote}
|
||||
% This is wrong, but there's something here.
|
||||
% maybe fix later?
|
||||
%
|
||||
%Look through the above problems and convince yourself of the following fact: \par
|
||||
%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
|
||||
%\note{If you don't understand what this says, ask an instructor. \\ This is the reason we did the last few problems!}
|
||||
%
|
||||
%\begin{instructornote}
|
||||
% \textbf{The idea here is as follows:}
|
||||
%
|
||||
% If $a$ is in $\{\texttt{0}, \texttt{1}\}$ and $b$ is in $\{\texttt{0}, \texttt{1}\}$,
|
||||
% the values $ab$ can take are
|
||||
% $\{\texttt{0}, \texttt{1}\} \times \{\texttt{0}, \texttt{1}\} = \{\texttt{00}, \texttt{01}, \texttt{10}, \texttt{11}\}$.
|
||||
%
|
||||
% \vspace{2mm}
|
||||
%
|
||||
% The same is true of any other state set: if $a$ takes values in $A$ and $b$ takes values in $B$, \par
|
||||
% the compound state $(a,b)$ takes values in $A \times B$.
|
||||
%
|
||||
% \vspace{2mm}
|
||||
%
|
||||
% We would like to do the same with probabilistic bits. \par
|
||||
% Given bits $\ket{a}$ and $\ket{b}$, how should we represent the state of $\ket{ab}$?
|
||||
%\end{instructornote}
|
||||
|
||||
\pagebreak
|
||||
|
||||
@ -453,7 +451,7 @@ Consider the NOT gate, which operates as follows: \par
|
||||
\end{itemize}
|
||||
What should NOT do to a probabilistic bit $[x_0, x_1]$? \par
|
||||
If we return to our coin analogy, we can think of the NOT operation as
|
||||
flipping a coin we have already tossed, without looking at it's state.
|
||||
flipping a coin we have already tossed, without looking at its state.
|
||||
Thus,
|
||||
\begin{equation*}
|
||||
\text{NOT} \begin{bmatrix}
|
||||
@ -544,8 +542,8 @@ Find the matrix that represents the NOT operation on one probabilistic bit.
|
||||
|
||||
|
||||
\problem{Extension by linearity}
|
||||
Say we have an arbitrary operation $A$. \par
|
||||
If we know how $A$ acts on $[1]$ and $[0]$, can we compute $A[x]$ for an arbitrary state $[x]$? \par
|
||||
Say we have an arbitrary operation $M$. \par
|
||||
If we know how $M$ acts on $[1]$ and $[0]$, can we compute $M[x]$ for an arbitrary state $[x]$? \par
|
||||
Say $[x] = [x_0, x_1]$.
|
||||
\begin{itemize}
|
||||
\item What is the probability we observe $0$ when we measure $x$?
|
||||
|
@ -42,11 +42,11 @@ the following holds: \par
|
||||
Consider the \textit{controlled not} (or \textit{cnot}) gate, defined by the following table: \par
|
||||
\begin{itemize}
|
||||
\item $\text{X}_\text{c}\ket{00} = \ket{00}$
|
||||
\item $\text{X}_\text{c}\ket{01} = \ket{11}$
|
||||
\item $\text{X}_\text{c}\ket{10} = \ket{10}$
|
||||
\item $\text{X}_\text{c}\ket{11} = \ket{01}$
|
||||
\item $\text{X}_\text{c}\ket{01} = \ket{01}$
|
||||
\item $\text{X}_\text{c}\ket{10} = \ket{11}$
|
||||
\item $\text{X}_\text{c}\ket{11} = \ket{10}$
|
||||
\end{itemize}
|
||||
In other words, the cnot gate inverts its first bit if its second bit is $\ket{1}$. \par
|
||||
In other words, the cnot gate inverts its second bit if its first bit is $\ket{1}$. \par
|
||||
Find the matrix that applies the cnot gate.
|
||||
|
||||
\begin{solution}
|
||||
@ -127,7 +127,7 @@ If we measure the result of \ref{applycnot}, what are the probabilities of getti
|
||||
|
||||
\vfill
|
||||
|
||||
\problem{}
|
||||
\problem{}<cnotflipped>
|
||||
Finally, modify the original cnot gate so that the roles of its bits are reversed: \par
|
||||
$\text{X}_\text{c, flipped} \ket{ab}$ should invert $\ket{a}$ iff $\ket{b}$ is $\ket{1}$.
|
||||
|
||||
|
@ -34,6 +34,13 @@
|
||||
\subtitle{Prepared by \githref{Mark} on \today{}}
|
||||
|
||||
|
||||
% TODO: spend more time on probabalistic bits.
|
||||
% This could even be its own handout, especially
|
||||
% for younger classes!
|
||||
|
||||
% Why are qubits amplitudes instead of probabilities?
|
||||
% (Asher question)
|
||||
|
||||
\begin{document}
|
||||
|
||||
\maketitle
|
||||
|
Loading…
x
Reference in New Issue
Block a user