% vim: ft=tex \section{Quantum Computing} \subsection{Qbits and Gates} \subsubsection{Single Qbits} \begin{definition} A qbit is a two level quantum mechanical system, i.e. it has the eigenbasis $ \{\ket{\uparrow} \equiv \ket{1}, \ket{\downarrow} \equiv \ket{0}\} $ with $\braket{\uparrow}{\downarrow} = 0$. In the folling this basis will be called the $Z$ basis in analogy to the conventions used in spin systems. For some computations it can be useful to have component vectors, $\ket{\uparrow} \equiv \left(\begin{array}{c} 0 \\ 1\end{array} \right)$ and $\ket{\downarrow} \equiv \left(\begin{array}{c} 1 \\ 0 \end{array} \right)$ are used in these cases. \end{definition} A gate acting on a qbit is a unitary operator $G \in U(2)$. One can show that $\forall G \in U(2)$ $G$ can be approximated arbitrarily good as a product of unitary generator matrices \cite[Chapter 4.3]{kaye_ea2007}\cite[Chapter 2]{marquezino_ea_2019}, common choices for the generators are $ X, H, R_{\phi}$ and $Z, H, R_{\phi}$ with \label{ref:singleqbitgates} \begin{equation} \begin{aligned} & X := \left(\begin{array}{cc} 0 & 1 \\ 1 & 0\end{array}\right) \\ & Z := \left(\begin{array}{cc} 1 & 0 \\ 0 & -1\end{array}\right) \\ & H := \frac{1}{\sqrt{2}}\left(\begin{array}{cc} 1 & 1 \\ 1 & -1\end{array}\right) \\ & R_{\phi} := \left(\begin{array}{cc} 1 & 0 \\ 0 & \exp(i\phi)\end{array}\right)\\ & I := \left(\begin{array}{cc} 1 & 0 \\ 0 & 1\end{array}\right) \\ \end{aligned} \end{equation} Note that $X = HZH$ and $Z = R_{\pi}$, so the set of $H, R_\phi$ is sufficient. Further note that the basis vectors are chosen s.t. $Z\ket{0} = +\ket{0}$ and $Z\ket{1} = -\ket{1}$, transforming to the other Pauli eigenstates is done using $H$ and $SH$: \begin{equation} S = R_{\frac{\pi}{2}} = \left(\begin{array}{cc} 1 & 0 \\ 0 & i\end{array}\right) \end{equation} \begin{equation} S H Z H^\dagger S^\dagger = S X S^\dagger = Y \end{equation} The following states are the $\pm 1$ eigenstates of the $X$, $Y$, $Z$ operators and will be used in some calculations later. \begin{equation} \begin{aligned} &\ket{+_X} \equiv \ket{+} := \frac{1}{\sqrt{2}} (\ket{0} + \ket{1}) \\ &\ket{-_X} \equiv \ket{-} := \frac{1}{\sqrt{2}} (\ket{0} - \ket{1}) \\ &\ket{+_Y} := \frac{1}{\sqrt{2}} (\ket{0} + i\ket{1}) \\ &\ket{-_Y} := \frac{1}{\sqrt{2}} (\ket{0} - i\ket{1}) \\ &\ket{+_Z} := \ket{0} \\ &\ket{-_Z} := \ket{1} \\ \end{aligned} \end{equation} \subsubsection{Many Qbits} \begin{postulate} A $N$ qbit quantum mechanical state is the tensor product\cite[Definition 14.3]{wuest1995} of the $N$ single qbit states. \end{postulate} Let $\ket{0}_s := \left(\begin{array}{c} 1 \\ 0 \end{array} \right)$ and $\ket{1}_s := \left(\begin{array}{c} 0 \\ 1 \end{array} \right)$ be the basis of the one-qbit systems. Then two-qbit basis states are \begin{equation} \ket{0} := \ket{0b00} := \ket{0}_s \otimes \ket{0}_s := \left(\begin{array}{c} 1 \\ 0 \\ 0 \\ 0 \end{array} \right) \end{equation} \begin{equation} \ket{1} := \ket{0b01} := \ket{0}_s \otimes \ket{1}_s := \left(\begin{array}{c} 0 \\ 1 \\ 0 \\ 0 \end{array} \right) \end{equation} \begin{equation} \ket{2} := \ket{0b10} := \ket{1}_s \otimes \ket{0}_s := \left(\begin{array}{c} 0 \\ 0 \\ 1 \\ 0 \end{array} \right) \end{equation} \begin{equation} \ket{3} := \ket{0b11} := \ket{1}_s \otimes \ket{1}_s := \left(\begin{array}{c} 0 \\ 0 \\ 0 \\ 1 \end{array} \right) \end{equation} The $N$ qbit basis states can then be constructed in a similar manner. A general $N$ qbit state can then be written as a superposition of the integer states: \begin{equation} \ket{\psi} = \sum\limits_{i = 0}^{2^N - 1} c_i \ket{i} \end{equation} \begin{equation} \sum\limits_{i = 0}^{2^N - 1} |c_i|^2 = 1 \end{equation} The states $\ket{i}$ for $i = 0, ..., 2^{n}-1$ are called integer states. Note that integer states are eigenstates of the $Z$ operators. The computational basis is $\{\ket{i_0} \otimes ... \otimes \ket{i_{n-1}} | i_0, ..., i_{n-1} = 0, 1\}$. \begin{definition} For a single qbit gate $U$ and a qbit $j = 0, 1, ..., n - 1$ \begin{equation} U_j := \left(\bigotimes\limits_{i = 0}^{j - 1} I\right) \otimes U \otimes \left(\bigotimes\limits_{i = j + 1}^{n - 1} I \right) \end{equation} is the $U$ gate acting on qbit $j$. \end{definition} \begin{definition}\label{def:CU} For two qbits $i,j = 0, 1, ..., n - 1$, $i \neq j$ and a gate $U_i$ acting on $i$ the controlled version of $U$ is defined by \begin{equation}\label{eq:CU} CU_{i, j} = \ket{0}\bra{0}_j\otimes I_i + \ket{1}\bra{1}_j \otimes U_i \end{equation} In particular for $X, Z$: \begin{equation}\label{eq:CX_pr} CX(i, j) = \ket{0}\bra{0}_j\otimes I_i + \ket{1}\bra{1}_j \otimes X_i \end{equation} \begin{equation}\label{eq:CZ_pr} CZ(i, j) = \ket{0}\bra{0}_j\otimes I_i + \ket{1}\bra{1}_j \otimes Z_i \end{equation} \end{definition} In the definition \ref{def:CU} $i$ is called the act-qbit and $j$ the control-qbit. In words $CU$ applies the gate $U$ to the act-qbit if the control-qbit is in its $\ket{1}$ state. One can show that the gates in \ref{ref:singleqbitgates} together with an entanglement gate, such as $CX$ or $CZ$ are enough to generate an arbitrary $N$ qbit gate\cite[Chapter 4.3]{kaye_ea2007}\cite{barenco_ea_1995}. The matrix representation of $CX$ and $CZ$ for two qbits is given by (this is quickly verified by applying the matrices to the basis states) \begin{equation} CX_{1, 0} = \left(\begin{array}{cccc} 1 & 0 & 0 & 0\\ 0 & 1 & 0 & 0\\ 0 & 0 & 0 & 1\\ 0 & 0 & 1 & 0 \end{array}\right) \end{equation} \begin{equation} CZ_{1, 0} = \left(\begin{array}{cccc} 1 & 0 & 0 & 0\\ 0 & 1 & 0 & 0\\ 0 & 0 & 1 & 0\\ 0 & 0 & 0 & -1 \end{array}\right) \end{equation} \subsubsection{Measurements} \begin{postulate} Let $$\ket{\psi} = \alpha\ket{\phi_1} \otimes \ket{1}_j + \beta\ket{\phi_0} \otimes \ket{0}_j$$ be a $n$ qbit state where $\ket{1}_j, \ket{0}_j$ denote the $j$-th qbit state and $|\alpha|^2 + |\beta|^2 = 1$. Then the measurement of the $j$-th qbit will yield $$\ket{\phi_1} \otimes \ket{1}_n$$ with probability $|\alpha|^2$ and $$\ket{\phi_0} \otimes \ket{0}_n$$ with probability $|\beta|^2$. This is called collapse of the wave function. \end{postulate} Measuring a qbit will also yield a classical result $0$ or $1$ with the respective probabilities. Measurements are always performed in the computational basis, i.e. for a qbit $i$ $Z_i$ is measured. With the eigenstate of the $+1$ eigenvalue being the $\ket{0}$ and $\ket{1}$ for the $-1$ eigenvalue of $Z$. \begin{corrolary} In general the measurement of a qbit is not invertible, in particular it cannot be represented as a unitary operator. \end{corrolary} \begin{proof} The measuerment in not injective: Measuring both $\ket{0}$ and $\frac{1}{\sqrt{2}}(\ket{0} + \ket{1})$ (can) map to $\ket{0}$. Any unitary matrix $U$ has the inverse $U^\dagger \equiv U^{-1}$. \end{proof} As a measurement is not unitary it is not a gate as in the definition above. In the following discussion the term \textit{measurement gate} will be used from time to time as a measurement can be treated similarely while doing numerics. \subsection{Quantum Circuits} \textbf{FIXME: citation needed} Quantum circuits are a simple and well-readable way to express the application of several gates on a state. Qbits are represented by horizontal line on which time goes from left to right. On these lines single qbit gates are represented by a box: \[ \Qcircuit @C=1em @R=.7em { & \gate{H} & \gate{X} & \gate{Z} &\qw \\ } \] The controlled gates (such as $CX$ and $CZ$) have a vertical line from the control qbit to the gate, for instance the circuit for $CZ_{2, 1}CX_{2,0}$ is \[ \Qcircuit @C=1em @R=.7em { & \qw & \ctrl{2} & \qw & \qw &\qw \\ & \qw & \qw & \qw & \ctrl{1} &\qw \\ & \qw & \gate{X} & \qw & \gate{Z} &\qw \\ } \] \textbf{TODO: more info about quantum circuits}