A paradoxical idea combining Quantum Bayesian Networks with Precognition
First written 4 days ago for Dr. Frank Zickert
An interesting idea occurred to me and I thought I should share it with you.
It begins with me reading Stephen King's The Institute in
which there are these kids who have superpowers - Telepathy, Telekinesis and
Precognition. That is, mind-to-mind reading, control of objects at a distance,
and telling the future perhaps months or even years in advance.
(Interestingly, Stephen King also introduced to me the idea that
writing-reading is a mind-to-mind telepathic process in his book On Writing. Only that it takes months or years for the information to cross
space-time from one mind to another, instead of seconds as real telepathy
should work.
This guy is really good I tell you).
What stuck with me was precognition and the way it seems to be possible
to a limited extent based on specific contexts e.g. stock-price "forecasting"
with mathematical tools of inference.
I even made a blog about it at www.intelagent.wordpress.com.
I made a few blogs about quantum computing on there but this is where we shall
do that now.
So last week I read John Gribbins's In Search of Schrodinger's Cat and in it I was introduced to the revelation that quantum mechanics
makes determinism of the future from the past nearly impossible because of the
world's stochastic nature. Ok, fair point. Good bye precognition.
Then I got a startling revelation yesterday. Good bye precognition?
How about Quantum Bayesian Networks ?!!
And so here we are. With me writing you this blog letter
From here I am going to dive a little into quantum bayesian networks with
qiskit (I'll definitely start with your blog. Have a reason to read it again
now. Slowly and carefully) to try and unravel how something that makes the
future random and unpredictable can turn round and help us see even more of it
(with specific context still, but with increased limited ability).
Wonder what you think about all this?
P.S. I finished your free sample of Hands on Quantum Machine Learning with Python. It was fun. Especially learnt that correlation methods can add
"information value" (another thing I learnt) to a data set.
Thanks for reading
Bye.
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