Feynmans Quantum Paths (Advanced Relativity, Quantum Chromodynamics) - - PowerPoint PPT Presentation

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Feynmans Quantum Paths (Advanced Relativity, Quantum Chromodynamics) - - PowerPoint PPT Presentation

QM Paths 0 Lattice t i Trick Implementation Assessment Feynmans Quantum Paths (Advanced Relativity, Quantum Chromodynamics) Rubin H Landau Sally Haerer, Producer-Director Based on A Survey of Computational Physics by


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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Feynman’s Quantum Paths

(Advanced ⇒ Relativity, Quantum Chromodynamics) Rubin H Landau

Sally Haerer, Producer-Director

Based on A Survey of Computational Physics by Landau, Páez, & Bordeianu with Support from the National Science Foundation

Course: Computational Physics II

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Feynman: Quantum Mech ↔ Classical Mech?

Generalize Classical Trajectory to QM Probability Classical Mech: single x(t) path =¯ x QM: waves = statistical, no path Dirac: Hamilton’s least-action prin

Time A B t b x b x a t a Position

F: Look for quantum least-action principle Hamilton: space-time path variation δ calculus F: quantum particle @ B = (xb, tb) From all A via Green’s function (propagator) G

ψ(xb, tb) =

  • dxa G(xb, tb; xa, ta)ψ(xa, ta)

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Huygen-Feynman Quantum Wavelets

Classical Becomes Quantum

Time

A B t b x b x a t a

Position

∼ Huygens’s principle G(b; a) = spherical wavelet ψ(xb, tb) = wavelets

ψ(xb, tb) =

  • dxa G(b, a) ψ(xa, ta)

G(b, a) = exp

  • i m(xb−xa)2

2(tb−ta)

  • 2πi(tb − ta)

F’s vision: ψ ↔ path

ψB =

all paths, A

∆ paths ∆ probabilities All paths possible! Also relativity, fields

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Hamilton’s Principle of Least Action (Classical)

Newton’s Law ≡ δS[¯ x(t)] = 0 "The most general motion of a physical particle moving along the classical trajectory ¯ x(t) from time ta to tb is along a path such that the action S[¯ x(t)] is an extremum."

Time

A B t b x b x a t a

Position

δS = S[¯ x(t) + δx(t)] − S[¯ x(t)] = 0 (1) (Constraint) δ(xa) = δ(xb) = 0 (2) [x(t)] = functional S[¯ x(t)] = tb

ta

dt L [x(t), ˙ x(t)] (3) L = Lagrangian = T [x, ˙ x] − V[x] (4)

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Connecting CM Hamilton’s Prin to QM Paths Consider Free Particle (V = 0)

S[b, a] = tb

ta

dt (T − V) = m 2 ˙ x2(tb − ta) = m 2 (xb − xa)2 tb − ta (1) ⇒ G(b, a) = e iS[b,a]/

  • 2πi(tb − ta)

(2)

F: QM = path integrals All paths ∃, ∆ prob Mainly classical

Time

A B t b x b x a t a

Position

⇒ G(b, a) =

  • paths

eiS[b,a]/ (3)

≃ 10−34 Js ⇒ ∼ ¯ x S¯

x = extremum

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Relate Paths to Ground State Wave Function

Hermitian ˜ H ⇒ Complete Orthonormal Set ⇒ Propagator

˜ Hψn = Enψn (1) ψ(x, t) =

  • n=0

cn e−iEnt ψn(x) (2) cn = +∞

−∞

dx ψ∗

n(x, 0)ψ(x, 0)

(3) → ψ(x, t) = +∞

−∞

dx0

  • n

ψ∗

n(x0)ψn(x)e−iEnt ψ(x0, t = 0)

(4) Recall: ψ(xb, tb) =

  • dxa G(xb, tb; xa, ta)ψ(xa, ta)

(5) ⇒ G(x, t; x0, 0) =

  • n

ψ∗

n(x0)ψn(x)e−iEnt

(6)

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Relate Space-Time Paths to Ψ0 (cont)

Hermitian ˜ H ⇒ Complete Orthonormal Set

G(x, t; x0, t = 0) =

  • n

ψ∗

n(x0)ψn(x)e−iEnt

(1)

Evaluate @ imaginary t (Wick rotation):

G(x, −iτ; x0, t = 0) =

  • n

ψ∗

n(x0)ψn(x)e−Enτ

(2)

Im time τ → ∞ only n = 0 For |ψ0|2: paths start & end at x0 = x

G(x, −iτ; x, 0) =

  • n

|ψn(x)|2e−Enτ = |ψ0|2e−E0τ + |ψ1|2e−E1τ + · · · (3) ⇒ |ψ0(x)|2 = lim

τ→∞ eE0τG(x, −iτ; x, 0)

(4)

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Break Now, Compute Later

  • ta

tb ti xa ta

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Lattice Quantum Mechanics (Algorithm)

Easy: Discrete Times & Positions Only!

  • ta

tb ti xa ta

Path: links Euler + Time step ε:

dxj dt ≃ xj − xj−1 ε (1) Sj ≃ Lj ∆t (2) ≃ m∆x2 2ε − V(xj)ε (3)

Add actions for N-links G(b, a) ↔

a−b paths

Ea path =

links

G(b, a) =

  • dx1 · · · dxN−1 eiS[b,a]

(4)

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Rotate t: Lagrangian (−iτ) = -Hamiltonian (τ)

Wick Rotation into Imaginary Time

G(x, t; x0, t0) =

  • dx1 dx2 · · · dxN−1eiS[x,x0]

(1) S[x, x0] ≃

N−1

  • j=1

L (xj, ˙ xj) ε (2) L (x, ˙ x) = T − V(x) = +1 2m dx dt 2 − V(x) (3) ⇒ L

  • x,

dx −idτ

  • = −1

2m dx dτ 2 − V(x) = −H (4)

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Put Pieces Together Sum Over Paths

Related to Wave Function

G(x, −iτ; x0, 0) =

  • dx1 . . . dxN−1 e−

τ

0 H(τ′)dτ′

(5)

Individual path integral:

  • H(τ) dτ ≃
  • j

εEj = εE (6)

Ground State Wave Function via Feynman:

|ψ0(x)|2 = 1 Z lim

τ→∞

  • paths

dx1 · · · dxN−1 e−εE (7)

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Imaginary Time Relates QM to Thermodynamics

Schrödinger Equation → Heat Diffusion Equation t in QM → −iτ

i ∂ψ ∂(−iτ) = −∇2 2m ψ ⇒ ∂ψ ∂τ = ∇2 2m ψ (1)

Boltzmann P = e−εE weights ea Feynman path Temperature ⇔ time step:

P = e−εE = e−E/kBT ⇒ kBT = 1 ε ≡ ε (2)

⇒ limε→0 = limT→∞ ψ0: long imaginary τ vs / ∆E Like equilibration in Ising model

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Summary (This is Heavy Stuff)

Feynman’s Path Integral Formulation of QM QM ψ via statistical fluctuations ∼ class trajectory Propagator(ta → tb) G = path integral,

paths

  • Hamilton: extremum S → path integration of H

Path integral = sum trajectories on x-t lattice Paths weighted with probability e−iS/ Algorithm: ∆ path link ⇒ ∆E (like Ising) Ψ equilibrates to ground state

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Break Before Algorithm

Quantum Monte Carlo (QMC) Applet

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

A Time-Saving Trick

Compute ψ(x) for All x (xb) Simultaneously

  • ta

tb ti xa ta

Integrate all x sites Don’t compute δ(x)! Accumulate ψ(x′)

|ψ0(x)|2 =

  • dx1 · · · dxN e−εE(x,x1,...)

=

  • dx0 · · · dxNδ(x − x0) e−εE(...)

Frequent xj ⇒ larger ψ(xj) EG: AB, New path + C CBD same Ei as ACB Equilibrate, flip links, new E

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Lattice Implementation

QMC.py

  • 40
  • 20

20 40

Position

0.05 0.1 0.15 0.2

Probability

quantum classical 20 40 60 80 100

Time

  • 2
  • 1

1 2

Position

1

Harmonic oscillator V(x) = 1 2x2

2

Natural units: m = 1, L:

  • /mω; t: 1/ω; T = 2π

3

Short T ∼ 2T, Long t ∼ 20T

4

Classical: max ρ @ turning pts

5

Each xj, running sum |Ψ0(xj)|2

6

∆ seed; many runs > 1 long run

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Assessment and Exploration

1

Plot classical trajectory, some actual space-time paths

2

Explore effect of smaller ∆x, smaller ∆t

3

Assume ψ(x) =

  • ψ2(x), calculate:

E = ψ| H |ψ ψ|ψ = ω 2ψ|ψ +∞

−∞

ψ∗(x) −d2 dx2 + x2

  • ψ(x) dx

(1)

4

Explore effect of larger, smaller

5

Test ψ with quantum bouncer: V(x) =mg|x| (2) x(t) =x0 + v0t + 1 2gt2. (3)

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QM Paths ψ0 Lattice t → −iτ Trick Implementation Assessment

Summary

Feynman Path Integrals

Time

A B t b x b x a t a

Position

A different view of quantum mechanics It seems to give same answers as traditional QM Is at heart of lattice quantum chromodynamics Hard to apply beyond ground state Satisfying connection to classical mechanics

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