INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum...

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INTERFERENCE AND INTERFERENCE AND QUANTIZATION IN QUANTIZATION IN SEMICLASSICAL VIBRATIONAL SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University

Transcript of INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum...

Page 1: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

INTERFERENCE AND INTERFERENCE AND QUANTIZATION IN QUANTIZATION IN

SEMICLASSICAL VIBRATIONAL SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONSRESPONSE FUNCTIONS

INTERFERENCE AND INTERFERENCE AND QUANTIZATION IN QUANTIZATION IN

SEMICLASSICAL VIBRATIONAL SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONSRESPONSE FUNCTIONS

Scott Gruenbaum

Department of Chemistry and Chemical Biology

Cornell University

Page 2: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Response TheoryResponse Theory

Use perturbation theory!

? =

+ +

+ + …

equilibrium dynamics

)()(ˆ)( ttHtt

i

)0()(ˆ)( tKtR(3)(t1,t2,t3)

R(1)(t)

R(2)(t1,t2)

t2

t

t1

t2

t3

t1

Page 3: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Quantum vs. ClassicalQuantum vs. Classical

• Quantum– Solve vibrational Schrödinger equation

– Correct, but challenging for large systems

• Classical– Solve classical equations of motion (molecular

dynamics)

– Possible for very large systems (e.g. proteins)

– Works well for heavy atoms

Page 4: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Example: Morse OscillatorExample: Morse Oscillator

Quantum

Classical

Page 5: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Semiclassical MethodsSemiclassical Methods

• Problem: quantum response theory is difficult, but the classical theory can be incorrect!

• We want to approximate the quantum response function using only classical information

• One solution: use a semiclassical approximation to K(t)^

Page 6: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Semiclassical MethodsSemiclassical Methods

Herman - Kluk propagator:

dzzetzCztK tziSt 0

/),(),(2

1)(ˆ

Good:

Bad:

1) Only uses classical inputs2) Exact for harmonic systems3) Exact in classical limit

1) Wildly oscillatory2) Unbounded increase with time

Herman, Kluk, Chem Phys, 1984.

Page 7: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Semiclassical Response FunctionSemiclassical Response Function

)()(

),(),()2(

211221

/)(2

*12

21

tzzzzzf

etzCtzCdzdz

ttcl

tSi

)()1( tRHK

Quantitative agreement!

Noid, Ezra, Loring, J Chem Phys, 2003.

Page 8: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Semiclassical Response FunctionSemiclassical Response Function

Noid, Ezra, Loring, J Chem Phys, 2003.

R(3)(t,0,t)

Quantitative agreement for nonlinear response functions too!

Page 9: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

How does it work?How does it work?

The height between steps in the oscillatory phase generates quantization of energy!

Total phase of R(1)

Gruenbaum, Loring, J Chem Phys, 2008.

Classical mechanics

Page 10: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Time Dependent Semiclassical Quantization

Time Dependent Semiclassical Quantization

Integration over the phase generates peaks in the energy distribution of the classical trajectories.

Classical energy distribution

time ≈ 0

Page 11: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Time Dependent Semiclassical Quantization

Time Dependent Semiclassical Quantization

Integration over the phase generates peaks in the energy distribution of the classical trajectories.

Semiclassical energy distribution

time > 0

Page 12: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Mean Trajectory ApproximationMean Trajectory ApproximationBy analyzing the semiclassical response function, we can simplify the calculation:

R(1)(t) p(0)q(t) fcl (z) 1 2 cos k k

dz

Numerical trajectories

Approximate quantization

Classical mechanics

Page 13: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

By analyzing the semiclassical response function, we can simplify the calculation:

R(1)(t) p(0)q(t) fcl (z) 1 2 cos k k

dz

Quantum Classical (k=0)

Mean Trajectory ApproximationMean Trajectory Approximation

Page 14: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

By analyzing the semiclassical response function, we can simplify the calculation:

R(1)(t) p(0)q(t) fcl (z) 1 2 cos k k

dz

Quantum First recurrence (k=0,1)

Mean Trajectory ApproximationMean Trajectory Approximation

Page 15: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

By analyzing the semiclassical response function, we can simplify the calculation:

R(1)(t) p(0)q(t) fcl (z) 1 2 cos k k

dz

Quantum Two recurrences (k=0,1,2)

Mean Trajectory ApproximationMean Trajectory Approximation

Page 16: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

By analyzing the semiclassical response function, we can simplify the calculation:

R(1)(t) p(0)q(t) fcl (z) 1 2 cos k k

dz

Quantum Three recurrences (k=0,1,2,3)

Mean Trajectory ApproximationMean Trajectory Approximation

Page 17: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

What’s next?What’s next?

• Analyze and calculate higher order response functions

e.g. the vibrational echo R(3)(t,0,t)

quantum

classical

semiclassical

Morse oscillator

Page 18: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

ConclusionsConclusions

• Semiclassical propagators give quantitatively accurate response functions

• However, the calculation is numerically challenging

• We have simplified the semiclassical response function without sacrificing accuracy

Page 19: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

AcknowledgmentsAcknowledgments

• Roger Loring

• NSF Grants CHE0413992 and CHE0743299

Page 20: INTERFERENCE AND QUANTIZATION IN SEMICLASSICAL VIBRATIONAL RESPONSE FUNCTIONS Scott Gruenbaum Department of Chemistry and Chemical Biology Cornell University.

Response Functions-- MathResponse Functions-- Math

)(ˆˆ,ˆ)(ˆˆ)()1( tKxtKxTri

tR

Quantum:

dipole state of systemtime evolution

Rcl(1)(t) x(t)p(0) fcl (z) dzClassical:

distributionclassical trajectory