Dynamical properties of strongly correlated electron systems - - PowerPoint PPT Presentation
Dynamical properties of strongly correlated electron systems - - PowerPoint PPT Presentation
Dynamical properties of strongly correlated electron systems studied by the density-matrix renormalization group (DMRG) Takami Tohyama Tokyo University of Science Shigetoshi Sota AICS, RIKEN Outline Density-matrix renormalization group
Density-matrix renormalization group (DMRG) ► DMRG ► Dynamical DMRG ► Extension to two dimensional systems Recent results obtained by DDMRG ► Optical excitations in 1D Mott insulator coupled to phonon ・ linear absorption ・ Third-harmonic generation (THG) ► Spin and charge excitations in square t-t’-U Hubbard model
- H. Matsuzaki, H. Nishioka, H. Uemura, A. Sawa, S. Sota, T. Tohyama, and
- H. Okamoto, Phys. Rev. B 91, 081114(R) (2015)
- S. Sota, T. Tohyama, and S. Yunoki, J. Phys. Soc. Jpn. 84, 054403 (2015)
- T. Tohyama, K. Tsutsui, S. Sota, and S. Yunoki, Phys. Rev. B 92, 014515 (2015)
Outline
► Spin excitations in 1D quantum spin systems
Dynamical properties in strongly correlated electron systems (SCES)
high-temperature superconductors, quantum spins, Mott insulators, …
External field: photon, neutron
SCES
response to external field:
excitation dynamics equibrium/ nonequibrium
spin charge
- rbital
lattice Quantum beam: SPring-8, J-PARC Pump-probe spectroscopy
・constructing lattice model with correlation ・numerical techniques to calculate dynamics
Setting lattice models
e.g. Hubbard model
Dynamical correlation functions
e.g. current-current correlation: optical absorption
1 1 ( ) Im 0 j j H i E χ ω π ω γ = − + − −
† 1, , ,
. .) (
i i i
j it H c c c
σ σ σ +
= − −
∑
Parameters: from first-principles calculations, experiments, etc
∑ ∑
↓ ↑ + +
+ − =
i i i i i i
n n U c c t H
, , , , , , σ δ σ δ σ
i
σ
site spin
Density-matrix renormalization group(DMRG)
[S. R. White, PRL 69, 2863 (1992)]
・ ・ ・ ・ ・ ・ ・ ・ ・
System |i> Environment |j>
Renormalize the states of the Environment into those of the System for each step, by using the density-matrix given by the ground-state wave function.
∑
=
j i ij
j i
,
ψ ψ
ii ij i j j
ρ ψ ψ
′ ′
=∑
ground-state wave function density matrix of system
1
Tr( ) : eigenstate of ( 0): eigenvalue of
m
A ρA A A u u u u ρ u ρ
α α α α α α α α α α
ω ω ω
=
= = ≈ ≥
∑ ∑
discard unimportant states:
α
ω ≈
1
1
m α α
ω
=
−∑
m: truncation number : truncation error
Dynamical DMRG
system environment
ij
ψ =
i j
∑ ∑ ∑
= =
α α α α α α
ψ ψ ρ 1
,
, ,
p p
j i’j ij ii’ Multi targets: α
∑
= ψ ψ ρ
j i’j j i ii’ Single target
1 1 ˆ ˆ ( ) Im 0 O O H i E χ ω π ω γ = − + − +
ˆ ( ) ( ) 1 ˆ 0 O O H i E
α ω
ρ ω ψ ω γ = ⇒ + − +
The reduced density matrix depends on ω perform DMRG for a given energy ω.
Correction vector
- E. Jeckelmann, Phys. Rev. B
66, 045114 (2002)
Generation and diagonalization
- f
Process of Dynamical DMRG
Ground state: Lanczos method
・ ・ ・ ・ ・ ・ ・ ・ ・
Target states:
( )
ρ ω
1 ˆ ˆ 0 , O O H i E ω γ + − + ω
A given energy
†
U U ρ
Transformation of operators:
†
UAU
Calculation of physical quantities
†
1 1 ˆ ˆ ( ) Im 0 O O H i E χ ω π ω γ = − + − +
How to calculate the correction vector
( )
1 ˆ 0 O H i φ ω ω γ = − +
- 2. Lanczos method
( )
1
1 ˆ ~
M n n
n n O E i φ ω ω γ
=
− +
∑
n Lanczos vector starting from Independent of ω ˆ 0 O Lorentzian broadening
- 1. Modified conjugate gradient method
( ) ( )
ˆ 0 H i O ω γ φ ω − + = Solve this equation iteratively for a given ω.
- E. Jeckelmann,
- Phys. Rev. B 66,
045114 (2002)
How to calculate the correction vector
( )
1 ˆ 0 O H i φ ω ω γ = − +
- 3. Polynomial expansion using Legendre functions
[S.Sota, T.T., PRB 82, 195130 (2010)]
( ) [ ]
ˆ ~ 2 ( ) ( ) ( )
L l l l l
Q i P P H O φ ω ω π ω
=
−
∑
l
Q
l
P
Legendre polynomial of the first kind Legendre polynomial of the second kind
ω and H : separated polynomials.
1 1
( 1) ( ) (2 1) ( ) ( )
l l l
l P l P lP ω ω ω ω
+ −
+ = + −
Recursive relation
A problem of polynomial expansion
Gibbs oscillation
2 ( ') ~ ( ') ( ) ( ') 2 1
L L l l l
P P l δ ε ε δ ε ε ε ε
=
− − = +
∑
L
Recursion relations: ( )
2 ' 1 1 ' ' 1 1
2 1 2 1 ( ) ( ) ( ) ( ) 1 1 1 ( ) 2 1 ( ) ( )
l l l l l l l
l l l P H H P H P H P H l l l P H l P H P H
σ σ σ σ σ σ σ
σ
+ − + −
+ + = + + + + + = + +
( )
0.2
L
δ ε −
2 / L σ π =
without Gaussian averaging L L
( )
0.2
L σ
δ ε −
with
( )
2 2
1 2 2 1
1 ( ) ( ) ( ) 2
H l l l
P H P H d e P H
ε σ σ
ε πσ
− − −
→ =
∫
2 / L σ π =
Introduce Gaussian-type broadening to remove Gibbs oscillation
[S. Sota and M. Itoh,
- J. Phys. Soc. Jpn. 76, 054004 (2007)]
Gaussian broadening
Other applications of polynomial expansion
( ) ( ) ( ) ( ) ( )
~ 1 2 1 ( ) ( )
iH t L l l l l
t t e t l j t P H t
δ
φ δ φ δ φ
− =
+ = − +
∑
Time-evolved wave function
spherical Bessel function
l
j
Thermodynamic properties
modified spherical Bessel function
l
i
Partition function
( )
2
2 1 ~ ( 2) ( ) 2
H L l l l
e l C i P H
β
ξ β ξ β ξ
=
= + −
∑
( ) ( )
Z ξ β ξ β =
- S. Sota, T. T., Phys. Rev. B 78, 113101 (2008)
c.f. E. M. Stoudenmire, S. R. White,
- Phys. Rev. B 87, 155137 (2013)
Added sites for the sweep of a fraction of system
added sites sweeping direction of sweeping update update the information of operators by MPI communications.
Extension to two dimensions (2D-DMRG) real-space parallelization method
Performance in K computer 3×8 triangular Hubbard model
5 10 15 20 500 1000 1500
FLOPS/PEAK (%) region number
5 10 15 20 10 20 30 40 50
elaplsed time (sec.) region number
All most perfect road balance
elapsed time efficiency
- Ex. One-dimensional extended Hubbard model
Performance in K computer
15
Triangular Hubbard model
- J. Kokalj, R. H. McKenzie, Phys.
- Rev. Lett. 110, 206402 (2013)
Uc1 U/t Uc1 Uc2
metal 120°AF Spin liquid?
A recent application of 2D-DMRG for ground state: triangular Hubbard model (6x6 cylinder)
- T. Shirakawa, T.T., J. Kokalj, S. Sota,
- S. Yunoki, arXiv:1606.06814
Density-matrix renormalization group (DMRG) ► DMRG ► Dynamical DMRG ► Extension to two dimensional systems Recent results obtained by DDMRG ► Optical excitations in 1D Mott insulator coupled to phonon ・ linear absorption ・ Third-harmonic generation (THG) ► Spin and charge excitations in square t-t’-U Hubbard model
- H. Matsuzaki, H. Nishioka, H. Uemura, A. Sawa, S. Sota, T. Tohyama, and
- H. Okamoto, Phys. Rev. B 91, 081114(R) (2015)
- S. Sota, T. Tohyama, and S. Yunoki, J. Phys. Soc. Jpn. 84, 054403 (2015)
- T. Tohyama, K. Tsutsui, S. Sota, and S. Yunoki, Phys. Rev. B 92, 014515 (2015)
Outline
► Spin excitations in 1D quantum spin systems
Spin-Peierls (SP) compound CuGeO3
- TSP=14K
- the first inorganic SP system
- edge-shared Cu-O chain with S=1/2 on Cu2+
- deviation from Heisenberg model
(Bonner & Fisher curve)
- M. Hase, I. Terasaki, K. Uchinokura, PRL 70, 3651 (1993)
1 1 2
(1 ( 1) )
i i i i i i i
H J
δα
δ α
+ +
= − − ⋅ + ⋅
∑ ∑
S S S S
SP
T T <
δ =0.022 at T=0
Phonons in CuGeO3
- No evidence of soft phonon along the Cu-O chain
- 3D character of the structural part of the SP transition
q=(π, 0, π)
[M. Braden et al., PRB 66, 214417 (2002)]
In-chain soft phonon in organic SP material ωph= 1.4 meV, ∆= 1.8 meV (TTF)CuS4C4(CF3)4 ∆ > ωph In-chain phonon in CuGeO3 ωph= 26 meV, 13 meV ∆= 2 meV ∆ << ωph antiadiabatic limit
[G. Uhrig, PRB 57, R14004 (1998)]
In-chain phonon may couple to spin even below the SP transition.
Spin-Peierls model
( )
SP 1 2 † † † 1 1 1
2
i i i i i i i i i i i i i i i i
H J b b J b b b b α ω λ
+ + + + +
= ⋅ + ⋅ + + + − + ⋅
∑ ∑ ∑ ∑
S S S S S S
λ : unknown
S(q,ω) of spin-Peierls model by DDMRG
α0= 0.36 ω0 = 1.5J λ= 0.5ω0 /J λ= 0 ω0 Phonon-assisted spin excitation is expected above the upper edge of spin continuum for CuGeO3. L=16, T=0
- T. Sugimoto, S. Sota, and T.T.,
JPSJ 81, 034706 (2012)
New diamond quantum spin lattice
K3Cu3AlO2(SO4)4
- M. Fujihala et al., J. Phys. Soc. Jpn. 84, 073702 (2015)
J1 J3 J2 Jm Jd J5 J4
A J1 J2 J3, J4 J5 Jm, Jd, Jd’ g K
- 22.5
- 300
- 37.5
510 75 2.14 Rb
- 97.2
- 97.2
32.4 445.5 81 2.14 Cs
- 48
- 288
29.4 441.6 96 2.18
240-site ring (80 unit cells) m=360 S(q,ω) of K3Cu3AlO2(SO4)4 by DDMRG
Optical excitation of one-dimensional Mott insulator coupled to phonons
Origin of in-gap state generated by just after photo irradiation for Ca2CuO3 Extended Hubbard-Holstein model
Optical absorption calculated by DDMRG Low-energy excitation consistent with experiment Spin excitations formed by polarons
- H. Matsuzaki, H. Nishioka, H.
Uemura, A. Sawa, S. Sota, T. T., H. Okamoto, Phys. Rev. B 91, 081114(R) (2015)
Comparison between two broadenings
- T. T., H. Matsueda, Prog. Theor.
- Phys. Suppl. 175, 165 (2008)
- S. Sota, T. T., Phys. Rev. B
82, 195130 (2010)
N=12 Conjugate gradient Lorentzian N=24 Polynomial expansion Gaussian
Third-harmonic generation (THG):Sr2CuO3
☑ shift of peak position ☑ emergence of low- energy spin-related excitation without electron- phonon interaction, in contrast to linear absorption
- S. Sota, T. T., S. Yunoki, J. Phys. Soc. Jpn. 84, 054403 (2015)
Pseudo gap Anomalous metal Antiferro. d-wave SC Fermi liquid d-wave SC Fermi liquid
Mott Insulator
Phase diagram of high-Tc cuprates
“stripe”
(charge
- rder)
Nd2-xCexCuO4 La2-xSrxCuO4
doping x
Static spin structure factor S(q) by DMRG
electron doping x=0.06 x=0.17 x=0.11 x=0.22 6x6 sites Parameters: t=0.3eV U/t=8, t’/t=-0.3 x: carrier concentration
Static spin structure factor S(q) by DMRG
hole doping x=0.06 x=0.17 x=0.11 x=0.22 6x6 sites Parameters: t=0.3eV U/t=8, t’/t=-0.3 x: carrier concentration
Research collaborating with quantum-beam facilities ESRF (soft x-ray resonant inelastic scattering) SPring-8 (hard x-ray resonant inelastic scattering) J-PARC (inelastic neutron scattering)
Spin and charge dynamics of electron-doped cuprate superconductors
- K. Ishii, M. Fujita, T.T. et al., Nat. Commun. 5, 3714 (2014)
+ numerical techniques
Electron-doped cuprate: Nd2-xCexCuO4
[K. Ishii, M. Fujita, T.T. et al., Nat. Commun. 5, 3714 (2014)]
Observation of the enhancement of magnetic-excitation energy with increasing carrier density
2 4
q=(π/7,π/3)
x=0 x=0.06 x=0.11 x=0.22
S(q,ω) (arb. units)
2 4
q=(π/7,2π/3)
0.0 0.2 0.4 0.6 2 4
q=(π/7,π) ω (eV)
Dynamical spin structure factor S(q,ω) by DDMRG
Doping dependence of S(q,ω) (two-spin correlation function) in electron-doped 2D Hubbard model 6x6 sites Parameters: t=0.3eV U/t=8, t’/t=-0.3 x: carrier concentration
[C. J. Jia et al., Nat.
- Commun. 5, 3314 (2014)]
☑ Consistent with quantum Monte Carlo calculations ☑ Shift of peak toward high energy with x Consistent with experiment
[K. Ishii et al., Nat.
- Comm. 5, 3714 (2014)]
[W. S. Lee et al., Nat.
- Phys. 10, 883 (2014)]
0.0 0.5 1.0 1.5
q=(π/7,π/3)
x=0.06 x=0.11 x=0.16 x=0.22
N(q,ω) (arb. units)
0.0 0.5 1.0 1.5 q=(π/7,2π/3) 0.0 0.2 0.4 0.6 0.0 0.5 1.0 1.5
q=(π/7,π) ω (eV)
0.0 0.5 1.0 1.5
x=0.06 x=0.11 x=0.22
q=(π/7,π/3) N(q,ω) (arb. units)
0.0 0.5 1.0 1.5 q=(π/7,2π/3) 0.0 0.2 0.4 0.6 0.0 0.5 1.0 1.5
q=(π/7,π) ω (eV)
Hole-doping ☑ Strong intensity at low-q, low-energy Electron-doping Prediction for experiments
Dynamical charge structure factor N(q,ω) by DDMRG
- T. T., K. Tsutsui, M. Mori, S. Sota, S. Yunoki, Phys. Rev. B 92, 014515 (2015)
Doping dependence of N(q,ω) in electron-doped t-t’-U Hubbard model ☑ Lower in energy than spin excitations
Peak in S(q,ω)
Charge motion in doped Mott insulator Incoherent motion
energy scale: hopping t already observed by RIXS (Ishii et al.)
Coherent motion
energy scale: magnetic J Prediction to RIXS (T. T. et al.)
[G. Khaliullin, P. Horsch, PRB 54, R9600 (1996)]
N(q,ω) of t-J model
Spin and charge velocities in the Hubbard-type model 1 0.5 n
1D: spin-charge separation Velocity
spin velocity vs charge velocity vc 1 0.5 n
2D: approximate spin-charge separation Velocity
vs vc
[T. T. and S. Maekawa, JPSJ 65, 1902 (1996)]
Density-matrix renormalization group (DMRG) ► DMRG ► Dynamical DMRG polynomial expansion ► Extension to two dimensional systems Recent results obtained by DDMRG ► Optical excitations in 1D Mott insulator coupled to phonon ・ linear absorption ・ Third-harmonic generation (THG) ► Spin and charge excitations in square t-t’-U Hubbard model
Summary
► Spin excitations in 1D quantum spin systems Usefulness of Gaussian broadening