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doc/pub/week2/html/week2-bs.html

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2,
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'properties-of-a-measurement'),
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('Entanglement', 2, None, 'entanglement'),
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('Basic properties of hermitian operators',
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<!-- navigation toc: --> <li><a href="#new-zoom-link" style="font-size: 80%;">New zoom link</a></li>
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<!-- navigation toc: --> <li><a href="#measurements" style="font-size: 80%;">Measurements</a></li>
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<!-- navigation toc: --> <li><a href="#properties-of-a-measurement" style="font-size: 80%;">Properties of a measurement</a></li>
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<!-- navigation toc: --> <li><a href="#entanglement" style="font-size: 80%;">Entanglement</a></li>
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<!-- navigation toc: --> <li><a href="#basic-properties-of-hermitian-operators" style="font-size: 80%;">Basic properties of hermitian operators</a></li>
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<!-- navigation toc: --> <li><a href="#the-pauli-matrices-again" style="font-size: 80%;">The Pauli matrices again</a></li>
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<!-- navigation toc: --> <li><a href="#spectral-decomposition" style="font-size: 80%;">Spectral Decomposition</a></li>
@@ -341,28 +339,14 @@ <h2 id="properties-of-a-measurement" class="anchor">Properties of a measurement
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us now look at other types of operations we can make on qubit states.
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</p>
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<!-- !split -->
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<h2 id="entanglement" class="anchor">Entanglement </h2>
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<p>In order to study entanglement and why it is so important for quantum
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computing, we need to introduce some basic measures and useful
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quantities. These quantities are the spectral decomposition of
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hermitian operators, how these are then used to define measurements
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and how we can define so-called density operators (matrices). These
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are all quantities which will become very useful when we discuss
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entanglement and in particular how to quantify it. In order to define
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these quantities we need first to remind ourselves about some basic linear
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algebra properties of hermitian operators and matrices.
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</p>
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<!-- !split -->
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<h2 id="basic-properties-of-hermitian-operators" class="anchor">Basic properties of hermitian operators </h2>
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<p>The operators we typically encounter in quantum mechanical studies are</p>
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<ol>
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<li> Hermitian (self-adjoint) meaning that for example the elements of a Hermitian matrix \( \boldsymbol{U} \) obey \( u_{ij}=u_{ji}^* \).</li>
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<li> Unitary \( \boldsymbol{U}\boldsymbol{U}^{\dagger}=\boldsymbol{U}^{\dagger}\boldsymbol{U}=\boldsymbol{I} \), where \( \boldsymbol{I} \) is the unit matrix</li>
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<li> The oparator \( \boldsymbol{U} \) and its self-adjoint commute (often labeled as normal operators), that is \( [\boldsymbol{U},\boldsymbol{U}^{\dagger}]=0 \). An operator is <b>normal</b> if and only if it is diagonalizable. A Hermitian operator is normal.</li>
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<li> The operator \( \boldsymbol{U} \) and its self-adjoint commute (often labeled as normal operators), that is \( [\boldsymbol{U},\boldsymbol{U}^{\dagger}]=0 \). An operator is <b>normal</b> if and only if it is diagonalizable. A Hermitian operator is normal.</li>
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</ol>
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<p>Unitary operators in a Hilbert space preserve the norm and orthogonality. If \( \boldsymbol{U} \) is a unitary operator acting on a state \( \vert \psi_j\rangle \), the action of</p>
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p(x)=\sum_{i=0}^{n-1}p_i\boldsymbol{P}_{\psi_i(x)},
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$$
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<p>where \( p_i \) are the probabilities of a specific outcome. Add later a digression on marginal probabilities.</p>
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<p>where \( p_i \) are the probabilities of a specific outcome. </p>
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<p>With these prerequisites we are now ready to introduce the density matrices, or density operators.</p>
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doc/pub/week2/html/week2-reveal.html

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</p>
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</section>
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<section>
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<h2 id="entanglement">Entanglement </h2>
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<p>In order to study entanglement and why it is so important for quantum
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computing, we need to introduce some basic measures and useful
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quantities. These quantities are the spectral decomposition of
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hermitian operators, how these are then used to define measurements
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and how we can define so-called density operators (matrices). These
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are all quantities which will become very useful when we discuss
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entanglement and in particular how to quantify it. In order to define
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these quantities we need first to remind ourselves about some basic linear
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algebra properties of hermitian operators and matrices.
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</p>
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</section>
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<section>
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<h2 id="basic-properties-of-hermitian-operators">Basic properties of hermitian operators </h2>
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<p>The operators we typically encounter in quantum mechanical studies are</p>
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<ol>
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<p><li> Hermitian (self-adjoint) meaning that for example the elements of a Hermitian matrix \( \boldsymbol{U} \) obey \( u_{ij}=u_{ji}^* \).</li>
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<p><li> Unitary \( \boldsymbol{U}\boldsymbol{U}^{\dagger}=\boldsymbol{U}^{\dagger}\boldsymbol{U}=\boldsymbol{I} \), where \( \boldsymbol{I} \) is the unit matrix</li>
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<p><li> The oparator \( \boldsymbol{U} \) and its self-adjoint commute (often labeled as normal operators), that is \( [\boldsymbol{U},\boldsymbol{U}^{\dagger}]=0 \). An operator is <b>normal</b> if and only if it is diagonalizable. A Hermitian operator is normal.</li>
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<p><li> The operator \( \boldsymbol{U} \) and its self-adjoint commute (often labeled as normal operators), that is \( [\boldsymbol{U},\boldsymbol{U}^{\dagger}]=0 \). An operator is <b>normal</b> if and only if it is diagonalizable. A Hermitian operator is normal.</li>
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</ol>
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<p>
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<p>Unitary operators in a Hilbert space preserve the norm and orthogonality. If \( \boldsymbol{U} \) is a unitary operator acting on a state \( \vert \psi_j\rangle \), the action of</p>
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$$
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<p>&nbsp;<br>
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<p>where \( p_i \) are the probabilities of a specific outcome. Add later a digression on marginal probabilities.</p>
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<p>where \( p_i \) are the probabilities of a specific outcome. </p>
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<p>With these prerequisites we are now ready to introduce the density matrices, or density operators.</p>
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</section>

doc/pub/week2/html/week2-solarized.html

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us now look at other types of operations we can make on qubit states.
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</p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="entanglement">Entanglement </h2>
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<p>In order to study entanglement and why it is so important for quantum
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computing, we need to introduce some basic measures and useful
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quantities. These quantities are the spectral decomposition of
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hermitian operators, how these are then used to define measurements
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and how we can define so-called density operators (matrices). These
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are all quantities which will become very useful when we discuss
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entanglement and in particular how to quantify it. In order to define
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these quantities we need first to remind ourselves about some basic linear
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algebra properties of hermitian operators and matrices.
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</p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="basic-properties-of-hermitian-operators">Basic properties of hermitian operators </h2>
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<p>The operators we typically encounter in quantum mechanical studies are</p>
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<ol>
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<li> Hermitian (self-adjoint) meaning that for example the elements of a Hermitian matrix \( \boldsymbol{U} \) obey \( u_{ij}=u_{ji}^* \).</li>
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<li> Unitary \( \boldsymbol{U}\boldsymbol{U}^{\dagger}=\boldsymbol{U}^{\dagger}\boldsymbol{U}=\boldsymbol{I} \), where \( \boldsymbol{I} \) is the unit matrix</li>
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<li> The oparator \( \boldsymbol{U} \) and its self-adjoint commute (often labeled as normal operators), that is \( [\boldsymbol{U},\boldsymbol{U}^{\dagger}]=0 \). An operator is <b>normal</b> if and only if it is diagonalizable. A Hermitian operator is normal.</li>
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<li> The operator \( \boldsymbol{U} \) and its self-adjoint commute (often labeled as normal operators), that is \( [\boldsymbol{U},\boldsymbol{U}^{\dagger}]=0 \). An operator is <b>normal</b> if and only if it is diagonalizable. A Hermitian operator is normal.</li>
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</ol>
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<p>Unitary operators in a Hilbert space preserve the norm and orthogonality. If \( \boldsymbol{U} \) is a unitary operator acting on a state \( \vert \psi_j\rangle \), the action of</p>
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p(x)=\sum_{i=0}^{n-1}p_i\boldsymbol{P}_{\psi_i(x)},
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$$
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<p>where \( p_i \) are the probabilities of a specific outcome. Add later a digression on marginal probabilities.</p>
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<p>where \( p_i \) are the probabilities of a specific outcome. </p>
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<p>With these prerequisites we are now ready to introduce the density matrices, or density operators.</p>
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doc/pub/week2/html/week2.html

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('Basic properties of hermitian operators',
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us now look at other types of operations we can make on qubit states.
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</p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="entanglement">Entanglement </h2>
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<p>In order to study entanglement and why it is so important for quantum
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computing, we need to introduce some basic measures and useful
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quantities. These quantities are the spectral decomposition of
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hermitian operators, how these are then used to define measurements
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and how we can define so-called density operators (matrices). These
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are all quantities which will become very useful when we discuss
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entanglement and in particular how to quantify it. In order to define
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these quantities we need first to remind ourselves about some basic linear
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algebra properties of hermitian operators and matrices.
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</p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="basic-properties-of-hermitian-operators">Basic properties of hermitian operators </h2>
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<p>The operators we typically encounter in quantum mechanical studies are</p>
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<ol>
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<li> Hermitian (self-adjoint) meaning that for example the elements of a Hermitian matrix \( \boldsymbol{U} \) obey \( u_{ij}=u_{ji}^* \).</li>
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<li> Unitary \( \boldsymbol{U}\boldsymbol{U}^{\dagger}=\boldsymbol{U}^{\dagger}\boldsymbol{U}=\boldsymbol{I} \), where \( \boldsymbol{I} \) is the unit matrix</li>
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<li> The oparator \( \boldsymbol{U} \) and its self-adjoint commute (often labeled as normal operators), that is \( [\boldsymbol{U},\boldsymbol{U}^{\dagger}]=0 \). An operator is <b>normal</b> if and only if it is diagonalizable. A Hermitian operator is normal.</li>
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<li> The operator \( \boldsymbol{U} \) and its self-adjoint commute (often labeled as normal operators), that is \( [\boldsymbol{U},\boldsymbol{U}^{\dagger}]=0 \). An operator is <b>normal</b> if and only if it is diagonalizable. A Hermitian operator is normal.</li>
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</ol>
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<p>Unitary operators in a Hilbert space preserve the norm and orthogonality. If \( \boldsymbol{U} \) is a unitary operator acting on a state \( \vert \psi_j\rangle \), the action of</p>
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p(x)=\sum_{i=0}^{n-1}p_i\boldsymbol{P}_{\psi_i(x)},
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$$
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<p>where \( p_i \) are the probabilities of a specific outcome. Add later a digression on marginal probabilities.</p>
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<p>where \( p_i \) are the probabilities of a specific outcome. </p>
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<p>With these prerequisites we are now ready to introduce the density matrices, or density operators.</p>
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