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Lars Bojer Madsen Department of Physics and Astronomy Aarhus - - PowerPoint PPT Presentation

! ! Time-dependent generalized- active-space approaches to the many-electron problem Lars Bojer Madsen Department of Physics and Astronomy Aarhus University, Denmark Motivation ! New light sources put focus on time-dependent,


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SLIDE 1

! !

Time-dependent generalized- active-space approaches to the many-electron problem

Lars Bojer Madsen Department of Physics and Astronomy Aarhus University, Denmark

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SLIDE 2

Motivation

! New light sources put focus on time-dependent,

nonperturbative dynamics - a fundamental problem

! Valence shell dynamics induced by intense femtosecond

infrared pulses

! ‘Inner’ shell dynamics induced by XUV attosecond

pulses

! Observables are often associated with processes like

ionization, break-up, high-order harmonics generation, transient absorption spectroscopy. Continua

! Much insight has been obtained by the single-active

electron approximation, but a range of processes involve correlation

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SLIDE 3

Motivation

! Direct solution of TDSE limited to very few particles ! Approximate solutions necessary for systems beyond H,

He, and H2

! Numerous approaches in the literature (TDHF, TDCIS,

MCTDHF, TDCC, OATDCC, TD-R matrix,…TD- CASSCF)

! TD-R matrix and TDCIS have found most applications

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SLIDE 4

Approach in Aarhus

! Study quantum chemistry methods ! Extend appropriate quantum chemistry methods to the

time-domain

! We have so far identified two avenues which appear

promising for our purposes

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SLIDE 5

Approach in Aarhus

! Time-dependent restricted-active-space self-consistent-

field (TD-RASSCF) method (Haruhide Miyagi, Wenliang Li)

! !

! Time-dependent generalized-active-space configuration-

interaction (TD-GASCI) method (Sebastian Bauch, Lasse Kragh Sørensen, Lun Yue)

|Ψ(t)i = X

I∈VRAS

CI(t)|ΦI(t)i

|Ψ(t)i = X

I∈VGAS

CI(t)|ΦIi

  • D. Hochstuhl and M. Bonitz, Phys. Rev. A 86, 053424 (2012)
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SLIDE 6
  • I. TD-GASCI

! Theory part

" Idea of GAS/RAS " Basis set for photoionization (continuum involved)

! Numerical examples

" 1D model system: “He” and “Be” " 3D systems

! Conclusions

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SLIDE 7

Configuration Interaction

Expand the wave function

! !

with Slater determinants constructed from single-particle spin-orbitals

!

with matrix elements

! !

Full-CI basis size:

|Ψ(t)i = X

I∈VGAS

CI(t)|ΦIi i∂tCI = X

J

HIJ (t)CJ (t) (

@ Nb Ne/2 1 A

2

HIJ (t) = X

ij

hij(t)hΦI|ˆ a†

aj|ΦJ i + 1 2 X

ijkl

wijklhΦI|ˆ a†

a†

ajˆ al|ΦJ i

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SLIDE 8

GASCI

! The increase in basis with Ne and Nb is the “curse of

dimensionality”

! To decrease the basis size we invoke the GAS/RAS

scheme from quantum chemistry

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SLIDE 9

GASCI

P4 P3 P1 P2

!

Construction of GAS wave function

" Partition single-particle basis into nr

parts

" Impose restrictions on the particle

numbers in the different parts (if, e.g., the core P1 is frozen N1 = 2, if single excitation out of P1 is allowed N1=2,1)

" Construct configurations in subspace

Pi

! ! ! ! ! !

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SLIDE 10

GAS: Example: N1=2, N2=4, N3=(2,1), N4=0,1:

|11

  • 1111
  • 1100
  • 00i |11
  • 1111
  • 1001
  • 00i
  • |11
  • 1111
  • 0110
  • 00i |11
  • 1111
  • 0011
  • 00i

|11

  • 1111
  • 0100
  • 10i

|11

  • 1111
  • 0001
  • 10i

|11

  • 1111
  • 1000
  • 01i

|11

  • 1111
  • 0010
  • 01i

P4 P3 P1 P2

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SLIDE 11

Example: GASCI for Beryllium

N=4 1s 2s 3s Continuum states Ground state configuration N=0 N=0 N=3 Continuum states Single-active Electron N=0,1 N=0,1 N=0,1 N=2 Continuum states CI singles Fixed core N=0,1 N=0,1 N=1,2 N=2 Continuum states Truncated full CI, fixed core N=0,1 N=1,2

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SLIDE 12

Basic adequate for continuum description: Finite-element DVR basis

Gauss-Lobatto DVR with quadrature points xi and weights wi

xe

i

=

1 2 h⇣ xe+1 xe⌘ xi + ⇣ xe+1 + xe⌘i we

i

=

wi 2 h xe+1 xei .

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SLIDE 13

FE-DVR

f e

i (x) = ∏ q6=i

x xe

q

xe

i xe q

,

Lobatto-shape functions: Elements: Brigdes:

See, e.g., Rescigno and McCurdy, Phys. Rev. A 62 032706 (2000)

χe

i (x) ⌘ f e i (x)

q we

i

, i = 2, . . . , ne 1 .

χe

ne(x) ⌘ f e ne(x) + f e+1 1

(x)

q we

ne + we+1 1

.

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SLIDE 14

FE-DVR

! Matrix elements

Interaction energy diagonal in (ij), (kl)

  • O(N 2

b )

(

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SLIDE 15

Single-particle basis: FE-DVR

!

FE-DVR basis provides efficient storage of 2-electron integrals

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Single-particle basis: FE-DVR

!

FE-DVR basis provides efficient storage of 2-electron integrals

!

Drawback: A priori no means to exclude basis functions (-> Full CI)

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SLIDE 17

Single-particle basis: FE-DVR

!

FE-DVR basis provides efficient storage of 2-electron integrals

!

Drawback: A priori no means to exclude basis functions (-> Full CI)

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SLIDE 18

Single-particle basis: HF

!

FE-DVR basis provides efficient storage of 2-electron integrals

!

Drawback: A priori no means to exclude basis functions (-> Full CI)

!

Solution: Include configurations based on HF orbitals

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SLIDE 19

Single-particle basis: HF

!

FE-DVR basis provides efficient storage of 2-electron integrals

!

Drawback: A priori no means to exclude basis functions (-> Full CI)

!

Solution: Include configurations based on HF orbitals

!

Drawback: Virtual HF orbitals are delocalised (far from true states)

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SLIDE 20

Single-particle basis: HF

!

FE-DVR basis provides efficient storage of 2-electron integrals

!

Drawback: A priori no means to exclude basis functions (-> Full CI)

!

Solution: Include configurations based on HF orbitals

!

Drawback: Virtual HF orbitals are delocalised (far from true states)

!

Solution: Use pseudo orbitals for virtual states

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SLIDE 21

Pseudo orbitals

Use pseudo orbitals for virtual states

basis consists of N/2 occupied HF orbitals and h

Note: we also can use ‘natural orbital’..long discussion

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SLIDE 22

Single-particle basis: HF

In the HF basis, the CI expansion converges, but there is a serious drawback:

truncated CI expans include configurations ba

O(N 4

b )

(

scales as Such an approach would limit the number of basis functions to about 100. Hence, processes involving a continuum would be difficult to address Solution: Mixed single-particle basis HF to describe bound-state excitation FE-DVR to describe continuum

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SLIDE 23

Single-particle basis: mixed basis set approach

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SLIDE 24

Single-particle basis: mixed basis set approach

HF DVR

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SLIDE 25

Single-particle basis: mixed basis set approach

Efficient storage scheme: approximately Allows for the calculation of ionization without approximating the electron-electron interaction (in addition to the GAS scheme)

  • O(N 2

b )

(

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SLIDE 26

TD-GASCI overview

  • 1. Set up physical system (potentials, N, box size, …)
  • 2. Set up FE-DVR basis
  • 3. Construct Hartree-Fock orbitals in vicinity of nucleus
  • 4. Construct pseudo-virtuals
  • 5. Transform FE-DVR matrix elements to mixed basis
  • 6. Construct RAS space
  • 7. Compute CI matrix elements (e.g. Slater-Condon rules)
  • 8. Prepare initial state (e.g. diagonalization of RAS-CI matrix, imaginary time prop,...)
  • 9. Perform time propagation (e.g. Arnoldi/Lanczos propagation [1])

[1] M. H. Beck et al., Phys. Rep. 324 (2000).

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SLIDE 27

Example: 1D Helium

Convergence of ground state energy with RAS-CI for #Nb=69, #HF=41 1D Helium model (N=2)

137

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SLIDE 28

Example: 1D Helium

2e

  • 2.23826

He He+ He++ resonances Calculate spectrum: Excite with short half-cycle („linear response“) e-e correlation doubly-exc. states 9

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SLIDE 29

SAE approx. N=1 N=0,1 N=0,1 Single-active electron approximation Reproduces single-excitations below first threshold Shift towards lower energy Autoionizing resonances are absent

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SLIDE 30

N=1,2 N=0,1 CI singles CI singles approximation Structure similar to SAE approximation Shift towards higher energy Autoionizing resonances are absent

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SLIDE 31

N=1,2 N=0,1 full CI up to n=2 Include first virtual orbital into full CI space Single-excitations shift towards TDSE results First series of resonances above first threshold Resonances shifted towards higher energy 10

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SLIDE 32

N=1,2 N=0,1 full CI up to n=3 Include 1st+2nd virtual orbitals into full CI space Perfect agreement in first series 2sns with TDSE 3sns series appear 10

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SLIDE 33

N=1,2 N=0,1 full CI up to n=4 Include 4 virtual orbitals into full CI space Agreement with TDSE for first two series Higher series successively appear Convergence towards full correlated spectrum

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Outline Numerical example: 1D Beryllium

inner

  • uter

Nel=4 N=4 11

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SLIDE 35

inner

  • uter

Nel=4 N=3 N=0,1 N=0,1 11

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SLIDE 36

inner

  • uter

Nel=4 N=0,1 N=1,2 N=2 11

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SLIDE 37

inner

  • uter

Nel=4 N=0,1 N=3,4 11

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SLIDE 38

inner

  • uter

+1 +1 Nel=4 N=0,1 N=1,2 N=2 11

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SLIDE 39

inner

  • uter

+1 +2 Nel=4 12

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SLIDE 40

inner

  • uter

+1 +2 Nel=4 12

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SLIDE 41

inner

  • uter

+1 +2 TD-RAS-CI Systematic adding of correlation contributions Provides interpretation of complex spectra Nel=4 12

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SLIDE 42

Essentia tials ls o

  • f T

f TD-RAS-CI I approach to to photo toio ioniza izatio ion Essentia ials ls of f TD-R

  • RAS-CI a

I approach to to p photo toio ioniza izatio ion

➔ Expand wave function in basis of Slater determinants ➔ Determinants are time-independent ➔Truncate full-CI expansion in different subspaces ➔ Crucial for photoionization: mixed basis set ➔Numerical tests on exactly solvable model systems ➔Ongoing research ➔ Tests and benchmarks on 1D systems ➔ Extension to real atoms and small diatomic molecules

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SLIDE 43

3D Helium

10−10 10−5 100 105 1010 1015 1020 1025 0.5 1 1.5 2 2.5 3 Energy [a.u.] SAE CIS HF2 HF4 2s2p 3s3p NIST

1Po 1Se

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SLIDE 44

3D Be

2 4 6 8 10 12 14 16 18 20 20 40 60 80 100 120 140 160 180 Electron yield [arb.u.] Energy [eV] XUV excitation of BE, ω = 150eV, CIS calculation, lmax = 1 CIS

from 2s from 1s

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SLIDE 45

HHG in H2

10−10 10−5 100 105 1010 1015 1020 1025 1030 1035 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 Spectral Intensity [arb.u.] Energy [a.u.] HHG H2 E0 = 0.119 a.u., ω = 0.0569 a.u. lmax = 1 lmax = 2 lmax = 3 lmax = 4 lmax = 5 lmax = 6 lmax = 7 lmax = 10

In the figure, the thin grey lines for a given lmax is the previous line repeated

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SLIDE 46

Concept of a time-varying basis

Illustration of fixed orbitals together with true development of the system

{ } |Ψ(t)i = X

I∈VRAS

CI(t)|ΦI(t)i,

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SLIDE 47

PHYSICAL REVIEW A 87, 062511 (2013)

Time-dependent restricted-active-space self-consistent-field theory for laser-driven many-electron dynamics

Haruhide Miyagi and Lars Bojer Madsen

Department of Physics and Astronomy, Aarhus University, 8000 ˚ Arhus C, Denmark (Received 22 April 2013; published 21 June 2013) We present the time-dependent restricted-active-space self-consistent-field (TD-RASSCF) theory as a framework for the time-dependent many-electron problem. The theory generalizes the multiconfigurational time-dependent Hartree-Fock (MCTDHF) theory by incorporating the restricted-active-space scheme well known in time-independent quantum chemistry. Optimization of the orbitals as well as the expansion coefficients at each time step makes it possible to construct the wave function accurately while using only a relatively small number of electronic configurations. In numerical calculations of high-order harmonic generation spectra of a

  • ne-dimensional model of atomic beryllium interacting with a strong laser pulse, the TD-RASSCF method is

reasonably accurate while largely reducing the computational complexity. The TD-RASSCF method has the potential to treat large atoms and molecules beyond the capability of the MCTDHF method.

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SLIDE 48

TD-RASSCF theory

: :

(P = P0 ⊕ P1 ⊕ P2) M = M0 + M1 + M2: # of spatial orbitals in P M0: # of spatial orbitals in P0

Orbital excitaion

a, b, c, d, · · · p, q, r, s, · · · i, j, k, l, · · · M1: # of spatial orbitals in P1

P2 space

M2: # of spatial orbitals in P2

Q space (P ⊕ Q) space P space

active orbitals inactive- active orbitals (frozen-)core orbitals

P1 space P0 space

Special cases: M2=0: TD-CASSCF. M0=M2=0 : MCTDHF

{ } |Ψ(t)i = X

I∈VRAS

CI(t)|ΦI(t)i,

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SLIDE 49

For a wave function written as

|Ψ(t)i = X

I∈VRAS

CI(t)|ΦI(t)i,

we derive the EOM obeyed by the CI coefficients and orbitals.

Dirac-Frenkel-McLachlan TD variational principle:[9−11]

Define an action functional

S ⇥ {CI}, {φi}, {εi

j}

⇤ = Z T " hΨ| i ∂ ∂t H ! |Ψi + X

ij

εi

j(t)

⇣ hφi|φji δi

j

⌘# dt,

and seek a stationary point, δS = 0.

[9] P. A. M. Dirac, P. Camb. Philos. Soc. 26, 376 (1930). [10] J. Frenkel, Wave Mechanics, Advanced General Theory (Oxford, 1934). [11] A. D. McLachlan, Mol. Phys. 8, 39 (1964).

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SLIDE 50

H(t) = X

pq

hp

q(t)c† pcq + 1

2 X

pqrs

vpr

qs(t)c† pc† rcscq,

Explicit form of the EOM: 8 > > > > > > > > < > > > > > > > > : i ˙ CI = X

ij

sgn(τ)Cτ(Ij

i )(hi

j iηi j) + 1

2 X

ijkl

sgn(τ)Cτ(Ijl

ik)vik

jl ,

CI i X

j

Q| ˙ φjiρj

i =

X

j

Qh(t)|φjiρj

i +

X

jkl

QW k

l |φjiρjl ik,

Q X

k00l0

(hk00

l0 iηk00 l0 )Al0j00 k00i0 +

X

klm

(vj00m

kl

ρkl

i0m vkl i0mρj00m kl

) = i ˙ ρj00

i0 .

P

where CIj

i = hΦI|c†

i cj|Ψi, CIjl

ik = hΦI|c†

i c† kclcj|Ψi,

hp

q(t) =

R φ†

p(z, t)h(x, t)φq(z, t)dz,

vpr

qs(t) =

RR φ†

p(z1, t)φ† r(z2, t)v(x1, x2)φq(z1, t)φs(z2, t)dz1dz2,

Q = 1 P

i |φiihφi|, ρj i ⌘ hΨ|c† i cj|Ψi, ρjl ik ⌘ hΨ|c† i c† kclcj|Ψi,

W k

l (r) =

R φ†

k(z0)v(r, r0)φl(z0)dz0, Al0j00 k00i0 = hΨ|

⇥ c†

i0cj00, c† k00cl0

⇤ |Ψi = δj00

k00ρl0 i0 δl0 i0ρj00 k00,

and ˙ ρj00

i0 = P I2VRAS

⇣ ˙ C⇤

IhΦI|Ψi0 j00i + hΨj00 i0 |ΦIi ˙

CI ⌘ . | ˙ φii = (P + Q)| ˙ φii = X

j

|φjiηj

i + Q| ˙

φii.

26

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SLIDE 51

MCTDHF method

8 > > > < > > > : i ˙ CI = X

ij

sgn(τ)Cτ(Ij

i )hi

j + 1

2 X

ijkl

sgn(τ)Cτ(Ijl

ik)vik

jl ,

CI i X

j

Q| ˙ φjiρj

i =

X

j

Qh(t)|φjiρj

i +

X

jkl

QW k

l |φjiρjl ik,

Q

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SLIDE 52

—TD-RASSCF family—

TD-RASSCF-S TD-RASSCF-SD TD-RASSCF-SDT TD-RASSCF-D

· · ·

P1 P2

| {z }

S

· · · · · ·

P1 P2

| {z }

S

| {z }

D

· · · · · ·

P1 P2

| {z }

S

| {z }

D

· · ·

| {z

T

· · ·

P1 P2

| {z }

14 /

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SLIDE 53

Properties of the TD-RASSCF theory

! Gauge-invariance

" A property for SCF methods (TDHF, MCTDHF,…)

!

! Special convergence property for TD-RASSCF-S

!

! The TD-RASSCF scheme reduces the number of

configurations a lot while being still accurate

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SLIDE 54

∗ M Method (M0, M1, M2) 3 4 8 12 16 20 TD-RASSCF-S (0, 2, M − 2) −6.771254 −6.773288 −6.773288 −6.773288 −6.773288 −6.773288 (5) (9) (25) (41) (57) (73)

  • D (0, 2, M − 2)

−6.771296[ −6.779805 −6.784501 −6.784533 −6.784534 −6.784534 (5) (19) (175) (491) (967) (1603)

  • SD (0, 2, M − 2)

−6.771296[ −6.780026 −6.784667 −6.784697 −6.784698 −6.784698 (9) (27) (199) (531) (1023) (1675)

  • SDT (0, 2, M − 2)

−6.780026 −6.785038 −6.785074 −6.785074 −6.785075 (35) (559) (2331) (6119) (12691) MCTDHF (0, M, 0) −6.771296[ −6.780026 −6.785041 −6.785077 −6.785078 −6.785078 (9) (36) (784) (4356) (14400) (36100)

1

−6.739450.

HF:

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SLIDE 55

In the SCF based methods (MCTDHF and TD-RASSCF-S): More orbitals ⇒ More accurate but more expensive Question: How many orbitals are needed to make the TD-RASSCF-S wave function sufficiently converged and more accurate than the TDCIS wave function? Answer: We need only M = Ne orbitals, by which the TD-RASSCF-S wave function is fully converged and more accurate than the TDCIS wave function!

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SLIDE 56

The TDCIS wave function reads

|ΨCIS(t)i = α0(t)|HFi + X

ia

αa

i (t)|HFa i i.

φocc

1 (x)

φocc

2 (x)

φvir

3 (x)

φvir

4 (x)

φvir

5 (x)

φvir

Nb(x)

. . .

. . .

φvir

Nb−1(x)

P Q

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SLIDE 57

The TD-RASSCF-S wave function reads

|Ψ(t)i = C0(t)|Φ(t)i + X

i0j00

Cj00

i0 (t)|Φj00 i0 (t)i.

When P1 P2 covers the single-particle Hilbert space, |Ψ(t)i is more accurate than |ΨCIS(t)i.

φ1(x, t) φ2(x, t) φ3(x, t) φ4(x, t) φ5(x, t) φNb(x, t) . . .

. . .

φNb−1(x, t)

P1 P2 Q = Ø

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SLIDE 58

The theorem allows us to use the most economical condition (M = Ne), leaving the wave function invariant.

φ1(x, t) φ2(x, t) φ3(x, t) φ4(x, t)

. . .

P1 P2 Q

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SLIDE 59

Method (M0, M1, M2) 4 w/o core (M0 = 0) TD-RASSCF-S (0, 3, M − 3)

  • D

(0, 3, M − 3)

  • SD

(0, 3, M − 3)

  • SDT

(0, 3, M − 3) MCTDHF (0, M, 0) w/ core (M0 = 1) TD-RASSCF-S (1, 2, M − 3)

  • D

(1, 2, M − 3)

  • SD

(1, 2, M − 3)

  • SDT

(1, 2, M − 3) TD-CASSCF (1, M − 1, 0) 2 14 −13.30039 (64) −13.32732 (1420) −13.32753 (1486) −13.33136 (12706) −13.33154 (132496) −13.30037 (45) −13.32440 (595) −13.32551 (639) −13.32791 (3059) −13.32796 (6084)

e HF energy −13.23117.

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SLIDE 60

109 1012 1015 1018 1021 1024 1027 10 18 36 54

Number of operations Number of electrons Ne

(Ne) (Ar) (Kr) (Xe) (M = Ne)

MCTDHF TD-RASSCF-SDT

  • SD
  • D
  • S

TDHF

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SLIDE 61

TDSE Approximation quality log (Numerical cost) TDCIS TD-RASSCF-D TD-RASSCF-SDT TD-RASSCF-SD TD-RASSCF-S MCTDHF TDHF

(infeasible) (feasible&very accurate) (feasible&accurate)

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SLIDE 62

10−12 10−10 10−8 10−6 10−4

(a1) 1D beryllium atom

10−12 10−10 10−8 10−6 10−4

(b1)

Cutoff 10−12 10−10 10−8 10−6 10−4

HHG intensity S(Ω) (a.u.)

(c1)

10−12 10−10 10−8 10−6 10−4

(d1)

10−12 10−10 10−8 10−6 10−4 10 20 30 40 50 60 70

Harmonic order Ω/ω

(e1)

0.0 0.5 1.0

(a2)

0.0 0.5 1.0

(b2)

0.0 0.5 1.0

Probability

(c2)

0.0 0.5 1.0

(d2)

1 2 3 0.0 0.5 1.0

Time (2π/ω)

(e2)

MCTDHF: M = 12 16 20 SAE TDCIS TDHF: M = 2 TD-RASSCF-S: M = 4, (0, 2, 2) TD-RASSCF-D: M = 4, (0, 2, 2) TD-RASSCF-SD: M = 4, (0, 2, 2) TD-RASSCF-D: M = 20, (0, 2, 18) TD-RASSCF-SD: M = 20, (0, 2, 18)

000 1 11 2 22 000 11 1 2 00 1 1 1 2 2 2 000 11 1 2 22 000 111 222

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SLIDE 63

Conclusions

! TD-RASSCF offers a reduction in the number of

configurations

! TD-RASSCF is gauge invariant ! TD-RASSCF-S has a special convergence property ! TD-RASSCF-S, (-D), -SD, -SDT become increasingly

accurate

! TD-RASSCF-S and TD-RASSCF-D are computationally

feasible and promising tools for TD dynamics

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SLIDE 64

Outlook

! Efficient 3D implementations of TD-GAS schemes ! Extraction of observables. Applications ! TD-GAS-CC ! …

!

! TD-GAS schemes for Bosons and distinguishable

particles

! TD-GAS schemes for electronic and nuclear degrees of

freedom

! …

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SLIDE 65

Acknowledgments

! Haru, Sebastian, Lasse, Lun, Wenliang ! Danish Research Foundation ! ERC grant (2011-2016) ! Villum Kann Rasmussen CoE (2014-2019)

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SLIDE 66

Thank you for your attention!