A Equation in a paper about Dicke states

Danny Boy
Messages
48
Reaction score
3
Can anyone with basic knowledge of Dicke States assist with explaining how we arrive at equation (4) in the paper 'Entanglement detection in the vicinity of arbitrary Dicke states': <Moderator's note: link fixed>

$$\langle J^2_{x} \rangle_{\mu} = \sum_{i_1,i_2} \langle J_{xi_{_1}} \rangle_{\mu} \langle J_{xi_{_2}} \rangle_{\mu} + \sum_{i}\langle ( \Delta J_{xi})^2 \rangle_{\mu}~~~~~~~~~~~~~(4)$$

Any assistance is appreciated.
 
Last edited by a moderator:
Physics news on Phys.org
I am not very knowledgeable about Dicke states, but isn't that equation simply a rewriting of
$$
\sigma^2 = \langle (\Delta x)^2 \rangle = \langle x^2 \rangle - \langle x \rangle^2
$$
 
@DrClaude Yes I think you are correct. Since ##J_{x}= \sum_{i=1}^{k}J_{xi}## it follows that $$\langle J_{x} \rangle^{2}_{\mu} = \langle \sum_{i=1}^{k}J_{xi} \rangle_{\mu}^{2} = \sum_{i_1, i_2} \langle J_{xi_1}\rangle_{\mu}\langle J_{xi_2} \rangle_{\mu}$$ and $$\langle ( \Delta J_x )^2 \rangle = \sum_{i} \langle ( \Delta J_{xi})^2 \rangle_{\mu}$$ hence $$\sum_{i}\langle ( \Delta J_{xi})^2 \rangle_{\mu} = \langle J^2_{x} \rangle_{\mu} - \sum_{i_1,i_2}\langle J_{xi_{1}}\rangle_{\mu}\langle J_{xi_2}\rangle_{\mu}$$
 
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. Towards the end of the first lecture for the Qiskit Global Summer School 2025, Foundations of Quantum Mechanics, Olivia Lanes (Global Lead, Content and Education IBM) stated... Source: https://www.physicsforums.com/insights/quantum-entanglement-is-a-kinematic-fact-not-a-dynamical-effect/ by @RUTA
If we release an electron around a positively charged sphere, the initial state of electron is a linear combination of Hydrogen-like states. According to quantum mechanics, evolution of time would not change this initial state because the potential is time independent. However, classically we expect the electron to collide with the sphere. So, it seems that the quantum and classics predict different behaviours!
Back
Top