- #1
Arya_
- 7
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Hi All,
I was going through a paper on quantum simulations. Below is an extract from the paper; I would be obliged if anyone can help me to understand it:
We will use eigenstate representation for transverse direction(HT) and real space for longitudinal direction(HL) Hamiltonians.
HL= h^2/2m * d^2/dx^2 + U (makes sense because x is longitudinal direction)
HT= h^2/2m *( d^2/dy^2 + d^2/dz^2) + Uy.z (writing in terms of y,z isn't a real space representation again? This was meant to be eigenstate representaion)
then,
Xk(ρ) = exp(i.k.ρ)/area
where HT.Xk = εk.Xk
k and ρ are both 2D vectors.
Now, k is wave vector, Xk(ρ) is function of ρ, what is ρ? What does it physically corresponds to?
Using finite difference approximation for HL:
HLψ= -tψn-1 +2t+Un.ψn +...
here I can interpret ψ is function of n, which is discretized real space. However I am not able to figure out what is ρ?
Thanks,
Arya
I was going through a paper on quantum simulations. Below is an extract from the paper; I would be obliged if anyone can help me to understand it:
We will use eigenstate representation for transverse direction(HT) and real space for longitudinal direction(HL) Hamiltonians.
HL= h^2/2m * d^2/dx^2 + U (makes sense because x is longitudinal direction)
HT= h^2/2m *( d^2/dy^2 + d^2/dz^2) + Uy.z (writing in terms of y,z isn't a real space representation again? This was meant to be eigenstate representaion)
then,
Xk(ρ) = exp(i.k.ρ)/area
where HT.Xk = εk.Xk
k and ρ are both 2D vectors.
Now, k is wave vector, Xk(ρ) is function of ρ, what is ρ? What does it physically corresponds to?
Using finite difference approximation for HL:
HLψ= -tψn-1 +2t+Un.ψn +...
here I can interpret ψ is function of n, which is discretized real space. However I am not able to figure out what is ρ?
Thanks,
Arya