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Karl G.
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Has anybody ever thought of using quaternions in QM? If so, why stop there? WHy not use octonions, etc. ? Just curious ...
Why is that? (Is it explained in one of the references you mentioned? - I don't have Piron.)meopemuk said:The main problem with quaternions is that it is not possible to define the
tensor product of two quaternionic Hilbert spaces.
Karl G. said:Has anybody ever thought of using quaternions in QM?
Karl G. said:If so, why stop there? WHy not use octonions, etc. ? Just curious ...
The main problem with quaternions is that it is not possible to define the
tensor product of two quaternionic Hilbert spaces.
strangerep said:Why is that? (Is it explained in one of the references you mentioned? - I don't have Piron.)
Cheers.
Karl G. said:Has anybody ever thought of using quaternions in QM? If so, why stop there? WHy not use octonions, etc. ? Just curious ...
meopemuk said:The main problem with quaternions is that it is not possible to define the tensor product of two quaternionic Hilbert spaces. So, the description of multiparticle systems is questionable.
Quaternions are a type of mathematical object that extends the concept of complex numbers. They are used in quantum mechanics to represent the spin states of particles, as well as to describe the rotation and orientation of quantum systems.
Yes, quaternions have been shown to be useful in quantum computing for tasks such as representing quantum gates and simulating quantum systems. They can also help with optimizing quantum algorithms and error correction.
Yes, quaternions have potential applications in quantum technology such as quantum communication, quantum cryptography, and quantum sensors. They can also be used in quantum simulations and quantum machine learning.
Quaternions differ from other mathematical objects such as vectors and matrices in that they have four components instead of three or more. They also have a complex structure that allows for more efficient representation and manipulation of quantum states.
One challenge is that quaternions are not as widely used or well understood as other mathematical objects in quantum mechanics, so there may be a learning curve for researchers and practitioners. Additionally, quaternions can be more computationally demanding to work with compared to simpler mathematical objects.