Probability and probability amplitude.

In summary, quantum superposition is when an object is in two or more different states simultaneously. The electron in a battery is an example of this. When you measure it, you cause it to collapse into a single state and it has a 50/50 chance of being in either of the states you measured it in. However, all of the possible states have the same probability.
  • #1
dawningparadox
17
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Quoted from reddit, an explanation for quantum superposition :

By analogy, you could say that the traveling electron is in a superposition of paths. Some are direct (close to what is called the "classical path" -- the path that a particle would take according to classical mechanics). Some are indirect, going to the moon and back before arriving at its destination.

But, when you measure the electron, you cause the superposition to collapse, just as before, and the electron is forced to take on a single path.

Now, the crazy thing is, all of the paths have the same probability. The probability is a positive number between 0 and 1 that says how probable it is that a certain path will be chosen. A probability of 0.5 means that the path has a 50% chance of being chosen. The crazy thing I'm saying here, though, is that all of the paths have the same probability, which sounds crazy.

Quantum mechanics has a weird quantity, though, called the probability amplitude. The amplitude is like the square root of the probability. Since it's a square root, it need not be positive, and it doesn't even have to be real. A probability amplitude can be any complex number, as long as the square of its modulus is between 0 and 1.

And it turns out that, even though all of the paths have an equal probability, they do not all have the same probability amplitude. Specifically, they differ by a phase. When you add up the probability amplitudes for each path, you find two things:

a) The paths that are close to the "classical" path tend to re-enforce one another. b) The paths that stray far from the classical path tend to cancel each other out.

So in the end, the probability of finding the particle very far away from the classical path is very small. Small particles like electrons can stray a little bit, but it's not too far before the probability becomes too small. Heavier objects, like a grain of sand, can't stray by any measurable amount before the probability becomes near-zero, which is why those objects seem to behave in a classical way.

Someone pointed out that the one that stays the same within all possible paths should be the probability rather than the probability amplitude. By the relationship of (probability amplitude)² = (probability), if the probability amplitudes are equal within all possible paths, how does the probabilty cancellation mechanism (within similar paths) work? How can equal values cancel each other out and produce different values for their squares (probability)?
 
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  • #2
dawningparadox said:
By the relationship of (probability amplitude)² = (probability), if the probability amplitudes are equal within all possible paths, how does the probabilty cancellation mechanism (within similar paths) work? How can equal values cancel each other out and produce different values for their squares (probability)?
All probability amplitudes are summed (as vectors) and only one final amplitude is then squared. Amplitudes cancel each other out when they have opposite phases.
I can recommend you Richard Feynman's book "QED: The strange theory of light and matter". It's accurate but it describes the the math in an alternative layman friendly way.
 
  • #3
zonde said:
All probability amplitudes are summed (as vectors) and only one final amplitude is then squared. Amplitudes cancel each other out when they have opposite phases.
I can recommend you Richard Feynman's book "QED: The strange theory of light and matter". It's accurate but it describes the the math in an alternative layman friendly way.
Thanks.
 

Related to Probability and probability amplitude.

1. What is the difference between probability and probability amplitude?

Probability is a measure of the likelihood of an event occurring, expressed as a number between 0 and 1. Probability amplitude, also known as quantum probability, is a complex number that describes the probability of a quantum system transitioning from one state to another. In simple terms, probability amplitude takes into account the possibility of interference between different outcomes.

2. How is probability amplitude calculated?

Probability amplitude is calculated using the principles of quantum mechanics, specifically the Schrödinger equation. This equation takes into account the wave-like nature of particles and describes how their probability amplitudes change over time. The result of this calculation is a complex number with both a magnitude and a phase.

3. Can probability amplitude be greater than 1?

No, probability amplitude cannot be greater than 1. According to the principles of quantum mechanics, the squared magnitude of the probability amplitude represents the actual probability of an event occurring. Since the squared magnitude of a number cannot be greater than the number itself, probability amplitude is always between 0 and 1.

4. How does probability amplitude relate to quantum superposition?

Quantum superposition is the principle that a quantum system can exist in multiple states at the same time. Probability amplitude plays a crucial role in this concept because it describes the probability of each possible state. The overall probability amplitude of a system is a combination of the probability amplitudes of its individual parts, allowing for the coexistence of multiple states.

5. What is the significance of probability amplitude in quantum computing?

In quantum computing, probability amplitude is used to represent the state of qubits, the basic unit of quantum information. By manipulating the probability amplitudes of qubits, quantum computers can perform calculations and solve problems much faster than classical computers. The accuracy of these calculations is dependent on the precise control and measurement of probability amplitudes.

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