Controlled NOT Gate: Explained

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The discussion centers on the mechanics of a controlled NOT gate, particularly how its matrix representation operates on qubit states. The initial poster questions the identification of control and target bits within the state vector, suggesting confusion between classical and quantum interpretations. It is clarified that the state vector represents joint amplitudes of qubits rather than distinct control and target components. The conversation emphasizes the importance of understanding tensor products in quantum mechanics, as opposed to direct sums. Overall, the thread elucidates the mathematical framework necessary for grasping controlled NOT gates in quantum computing.
Dragonfall
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I'm not sure where to post this, so here it is:

\left[\begin{array}{cccc}<br /> 1&amp;0&amp;0&amp;0\\<br /> 0&amp;1&amp;0&amp;0\\<br /> 0&amp;0&amp;0&amp;1\\<br /> 0&amp;0&amp;1&amp;0\\<br /> \end{array}\right]

How is this a controlled NOT gate? If I multiply this with \left[\begin{array}{c}1\\0\\1\\0\end{array}\right], the second bit is flipped regardless.
 
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That looks fine to me. Maybe it would be more clear with Kronecker products in the ket notation? Let |0> and |1> denote the standard basis on C². Then...

<br /> \left[\begin{array}{c}1\\0\\1\\0\end{array}\right]<br /> = |0\rangle \otimes |0\rangle + |1\rangle \otimes |0\rangle<br />

while

<br /> \left[\begin{array}{c}1\\0\\0\\1\end{array}\right]<br /> = |0\rangle \otimes |0\rangle + |1\rangle \otimes |1\rangle<br />
 
Which coordinates in that column vector represents the control, and which the target bit?
 
Dragonfall said:
Which coordinates in that column vector represents the control, and which the target bit?
You're thinking classically. Your state vector cannot be partitioned into "control" and "target" parts -- instead, the vector represents the joint amplitudes of the two qubits. In your chosen basis, the components of the state vector correspond to each of the four ways to choose a basis vector for each qubit. If you had three qubits, your state vector would have eight components.

Algebraically, the joint state space is the tensor product of the individual state spaces. You, however, were thinking of the direct sum (equivalently, direct product) of the individual state spaces.
 
So suppose my control bit is 0, and target is 1, then the vector representing the joint amplitudes of them (on which the matrix acts) is \left[\begin{array}{c}1\\0\end{array}\right] \otimes \left[\begin{array}{c}0\\1\end{array}\right] = \left[\begin{array}{c}0\\1\\0\\0\end{array}\right]
 
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That looks right.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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