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#* _Reading recommendation_: Scherer, Mathematics of Quantum Computations, chapter 3.1-3.3 and Hundt, Quantum Computing for Programmers, chapter 2.1-2.5. Hundt's text is relevant for the programming part where we build from scratch the ingredients we will need.
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===== Readings =====
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* _Reading recommendation_: Scherer, Mathematics of Quantum Computations, chapter 3.1-3.3 and Hundt, Quantum Computing for Programmers, chapter 2.1-2.5. Hundt's text is relevant for the programming part where we build from scratch the ingredients we will need.
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#The code examples presented by Keran are at
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===== The spectral decomposition, from last week =====
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===== The spectral decomposition =====
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The results from the previous slide gives us
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the following spectral decomposition of $\bm{A}$
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===== Bloch sphere =====
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Classically, in a binary system, the bits take only two distinct
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values, either $0$ or $1$. The quantum mechanical counterpart is
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given by two state vectors (our simple computational basis)
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$\vert 0 \rangle$ and $\vert 1\rangle $ which can be used to realize the
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\]
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===== Extending the expressions =====
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We can now extend these expressions to the complete ensemble of measurements. Using the spectral decomposition we have that the probability of an outcome $p(x)$ is
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!bt
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\[
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===== Computational basis =====
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This leads to the many-body computational basis states
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===== Measurement =====
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Measuring one of the qubits of one of the above Bell states,
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automatically determines, as we will see below, the state of the
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second qubit. To convince ourselves about this, let us assume we perform a measurement on the qubit in system $A$ by introducing the projections with outcomes $0$ or $1$ as
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===== Two-qubit system and calculation of density matrices and exercise =====
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_This part is best seen using the jupyter-notebook_.
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The system we discuss here is a continuation of the two qubit example from week 2.
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This system can be thought of as composed of two subsystems
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$A$ and $B$. Each subsystem has computational basis states
The interacting part of the Hamiltonian $H_{\mathrm{I}}$ is given by the tensor product of two $\sigma_x$ and $\sigma_z$ matrices, respectively, that is
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