Jilang said:
I understand that the probabilities don’t factorise, but I am curious as to whether the probability amplitudes do. Is there a consensus on that?
I posted a note about this a year or so ago. Here's the summary:
In a spin-1/2 anti-correlated EPR experiment, the joint probability that Alice will measure spin-up at angle [itex]\alpha[/itex] and Bob will measure spin-up at angle [itex]\beta[/itex] is given by:
[itex]P(A \hat B | \alpha, \beta) = \frac{1}{2} sin^2(\frac{\beta - \alpha}{2})[/itex]
According to Bell, to explain this via local hidden variables would require a parameter [itex]\lambda[/itex] and three probability distributions:
- [itex]P(\lambda)[/itex]
- [itex]P(A | \alpha, \lambda)[/itex]
- [itex]P(B | \beta, \lambda)[/itex]
such that:
[itex]P(A \hat B | \alpha, \beta) = \sum_\lambda P(\lambda) P(A | \alpha, \lambda) P(B | \beta, \lambda)[/itex]
(where the sum might be an integral, if [itex]\lambda[/itex] takes on continuous values). If there were such probability distributions, then there would be a straight-forward local explanation of the EPR result:
- Each pair of particles has a corresponding "hidden variable" [itex]\lambda[/itex] selected according to the probability distribution [itex]P(\lambda)[/itex]
- When Alice measures her particle, she gets spin-up with probability [itex]P(A|\alpha, \lambda)[/itex]
- When Bob measures his particle, he gets spin-up with probability [itex]P(B|\beta, \lambda)[/itex]
- These probabilities are independent.
Alas, Bell showed that there were no such probability distributions. Now, you can ask the analogous question about amplitudes:
Let [itex]\psi(A \hat B | \alpha, \beta)[/itex] be the amplitude (square-root of the probability, basically) that Alice and Bob will get spin-up at their respective angles. So [itex]\psi(A \hat B | \alpha, \beta) = \frac{1}{\sqrt{2}} sin(\frac{\beta - \alpha}{2})[/itex] (times a phase factor). Then the analogous question for amplitudes is:
Does there exist a parameter [itex]\lambda[/itex] and amplitudes [itex]\psi(\lambda), \psi(A | \alpha, \lambda), \psi(B | \beta, \lambda)[/itex] such that:
[itex]\psi(A \hat B | \alpha, \beta) = \sum_\lambda \psi(\lambda) \psi(A | \alpha, \lambda) \psi(B | \beta, \lambda)[/itex] ?
The answer is straightforwardly "yes".
- Let [itex]\lambda[/itex] have two possible values, [itex]\lambda_u[/itex] and [itex]\lambda_d[/itex].
- Let the amplitude for these values be: [itex]\psi(\lambda_u) = \frac{1}{\sqrt{2}}[/itex] and [itex]\psi(\lambda_d) = - \frac{1}{\sqrt{2}}[/itex]
- Let the conditional amplitudes be:
- [itex]\psi(A | \alpha, \lambda_u) = cos(\frac{\alpha}{2})[/itex]
- [itex]\psi(A | \alpha, \lambda_d) = sin(\frac{\alpha}{2})[/itex]
- [itex]\psi(B | \beta, \lambda_u) = sin(\frac{\alpha}{2})[/itex]
- [itex]\psi(B | \beta, \lambda_d) = cos(\frac{\beta}{2})[/itex]
Then [itex]\psi(A \hat B | \alpha, \beta) = \sum_\lambda \psi(\lambda) \psi(A |\alpha, \lambda) \psi(B |\beta, \lambda)[/itex]
[itex]= \psi(\lambda_u) \psi(A |\alpha, \lambda_u) \psi(B|\beta, \lambda_u) + \psi(\lambda_d) \psi(A |\alpha, \lambda_d) \psi(B|\beta, \lambda_d)[/itex]
[itex]= \frac{1}{\sqrt{2}} (cos(\frac{\alpha}{2}) sin(\frac{\beta}{2}) - sin(\frac{\alpha}{2}) cos(\frac{\beta}{2})[/itex]
[itex]= \frac{1}{\sqrt{2}} sin(\frac{\beta - \alpha}{2})[/itex]
I don't know physically what it means that amplitudes, rather than probabilities factor, but it shows that quantum problems are often a lot simpler in terms of amplitudes.