there’s a lot of non-Standard terminology there..
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There is no probability of measuring phi.. only its eigenvalue
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Replying to @InertialObservr @danijarh
Every different technical field invents different nomenclature for what are essentially the same concepts. 'Non-standard terminology' assumes a preferred frame of reference! :D Brb, googling 'one-hot'.
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Replying to @JasonHise64 @InertialObservr
Haha, yeah I mean a vector of the standard basis where one element is 1 and all others are 0. Does it make sense to measure in the standard basis if we can only measure eigenvalues though?
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Replying to @danijarh @JasonHise64
I guess I’m just not sure what you mean by measure in the standard basis .. the measurement is a physical process and is basis independent and is represented by a unitary operator acting on the projective Hilbert space
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Terminology
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Replying to @InertialObservr @danijarh
Side effect of CS foundation is thinking in terms of data structures used to represent concepts in memory. In practice this means vectors always need a basis. In this case, a dot product can become a fast lookup if 𝜓 is represented using the operator's eigenvectors as a basis.
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Can we make these vectors independent of basis? So that we can define any basis space whenever we want for these vectors in order to get output accordingly! These basis space may be a data structure, these vectors then gives components based on what data structure we impose!
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At some point you have to choose specific numeric values to physically store in each 4-byte floating point slot representing a component of your vector. You can certainly transform this vector into other spaces, but it has to be stored in *some* space to be stored at all.
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Makes sense I just never think about that
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Basis choices have huge effects on performance. If you have a hierarchical scene graph with each node defined in the local space of its parent, and objects in separate branches need to interact, you can waste tons of time multiplying matrices just to get things in the same space!
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