Could the probability distribution itself be quantised?

In summary, the conversation discusses the concept of quantization in quantum mechanics, specifically in relation to the multiverse interpretation. There is a misconception that everything in quantum mechanics is discrete, but there are also continuous phenomena. The idea of the universe splitting infinitely in the multiverse interpretation is also addressed, and it is mentioned that space and time may be quantized, but this is still just a hypothesis.
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Robert Webb
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TL;DR Summary
The quantum multiverse would require infinite splitting for the probability function to be perfectly smooth, wouldn't it?
Everything is quantised when you look at it close enough. What about quantum probability waves themselves?

If the quantum multiverse interpretation were true, then each quantum decision leads to a splitting of the universe. But this isn't a binary choice, it's a probability distribution. For that graph to be smooth, the universe would have to split infinitely many times at each collapse of the wave function, wouldn't it?

So far we haven't encountered any true infinities in our universe. Space and time are probably quantised, not true continuums. What about the quantum wave function itself? I only have a lay person's understanding of any of this, but as I understand it, the multiverse interpretation says that rather than a quantum decision being random, all options are pursued, and interact with each other somehow to produce the wave function. But unless the splitting is infinite, this function wouldn't be perfectly smooth.
 
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  • #2
Robert Webb said:
Everything is quantised when you look at it close enough.

This is not correct, though it is a common misconception. There are plenty of phenomena in quantum mechanics that are continuous, not discrete. A simple example is the energy and momentum of a free particle.

Robert Webb said:
What about quantum probability waves themselves?

The wave function is continuous.

Robert Webb said:
If the quantum multiverse interpretation were true, then each quantum decision leads to a splitting of the universe.

This is another common misconception that is not correct. We have plenty of threads on the MWI that discuss why; going into detail about that is probably better handled by starting a separate thread on that topic (preferably after spending some time reading previous threads on the topic).

Robert Webb said:
this isn't a binary choice, it's a probability distribution

That depends on the specific measurement; for measurements where the results are quantized, there can indeed be a binary choice--a simple example is a spin measurement on a spin-1/2 particle.

Robert Webb said:
Space and time are probably quantised, not true continuums.

"Probably" is way too strong given our current state of knowledge. It's a hypothesis, which at this point we can't to much to investigate, that's all.
 
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1. What is a probability distribution?

A probability distribution is a mathematical function that describes the likelihood of different outcomes occurring in a random event. It assigns a probability to each possible outcome, with the total sum of probabilities equaling 1.

2. What does it mean for a probability distribution to be quantized?

Quantization refers to the process of discretizing a continuous variable into a finite number of distinct values. In the case of a probability distribution, this means that the probabilities assigned to different outcomes are limited to a specific set of values rather than being able to take on any value within a range.

3. Why would the probability distribution need to be quantized?

Quantization of a probability distribution may be necessary in certain situations where the underlying system or data is inherently discrete rather than continuous. It can also simplify calculations and make the distribution more easily interpretable.

4. What are the implications of a quantized probability distribution?

The implications of a quantized probability distribution depend on the specific context and application. In general, it may affect the accuracy of predictions and the ability to model complex systems. It may also introduce bias and limitations in the analysis and interpretation of data.

5. Can all probability distributions be quantized?

No, not all probability distributions can be quantized. The ability to quantize a probability distribution depends on the underlying data and the assumptions made about the system being modeled. Some distributions, such as the normal distribution, are inherently continuous and cannot be accurately represented by a finite set of values.

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