Recent Surprises in the Simulation of Quantum Phase T ransitions - - PowerPoint PPT Presentation

recent surprises in the simulation of quantum phase t
SMART_READER_LITE
LIVE PREVIEW

Recent Surprises in the Simulation of Quantum Phase T ransitions - - PowerPoint PPT Presentation

Recent Surprises in the Simulation of Quantum Phase T ransitions Lei W ang, ETH Zrich Cologne 2015.04 Quantum Phase T ransitions H ( ) = H 0 + H 1 Quantum Temperature Where is the QCP ? Critical What are the phases ?


slide-1
SLIDE 1

Recent Surprises in the Simulation

  • f Quantum Phase T

ransitions

Lei W ang, ETH Zürich Cologne 2015.04

slide-2
SLIDE 2

Quantum Phase T ransitions

ˆ H(λ) = ˆ H0 + λ ˆ H1

Temperature

λc

Disordered Ordered Quantum Critical

Where is the QCP ? What are the phases ? What is the universality class ? What are the experimental signatures ?

slide-3
SLIDE 3

Quantum Phase T ransitions

ˆ H(λ) = ˆ H0 + λ ˆ H1

Temperature

λc

Disordered Ordered Quantum Critical

Where is the QCP ? What are the phases ? What is the universality class ? What are the experimental signatures ?

exact diagonalization quantum Monte Carlo dynamical mean field theories tensor network states

Algorithms for quantum many body systems

slide-4
SLIDE 4

Quantum Phase T ransitions

ˆ H(λ) = ˆ H0 + λ ˆ H1

Temperature

λc

Disordered Ordered Quantum Critical

Where is the QCP ? What are the phases ? What is the universality class ? What are the experimental signatures ?

exact diagonalization quantum Monte Carlo dynamical mean field theories tensor network states

Algorithms for quantum many body systems

slide-5
SLIDE 5

Monte Carlo Method

Buffon 1777

The first recorded Monte Carlo simulation

Statistical Mechanics: Algorithms and Computations W erner Krauth

`

d {

{

hNhitsi = 2 ⇡ ` d

slide-6
SLIDE 6

THE 0 R Y

0 F

T RAe KEF FEe T SIN R A D I 0 L Y SIS 0 F

W ATE R

1087 instead, only water molecules with different amounts of excitation energy. These may follow any of three paths: (a) The excitation energy is lost without dissociation into radicals (by collision, or possibly radiation, as in aromatic hydrocarbons). (b) The molecules dissociate, but the resulting radi- cals recombine without escaping from the liquid cage. (c) The molecules dissociate and escape from the

  • cage. In this case we would not expect them to move

more than a few molecular diameters through the dense medium before being thermalized.

In accordance with the notation introduced by

Burton, Magee, and Samuel,22 the molecules following

22 Burton, Magee, and Samuel, J. Chern. Phys. 20, 760 (1952).

THE JOURNAL OF CHEMICAL PHYSICS

paths (a) and (b) can be designated H 20* and those following path (c) can be designated H 20t. It seems reasonable to assume for the purpose of these calcula- tions that the ionized H 20 molecules will become the H 20t molecules, but this is not likely to be a complete correspondence. In conclusion we would like to emphasize that the qualitative result of this section is not critically de- pendent on the exact values of the physical parameters

  • used. However, this treatment is classical, and a correct

treatment must be wave mechanical; therefore the result of this section cannot be taken as an a priori theoretical prediction. The success of the radical diffu- sion model given above lends some plausibility to the

  • ccurrence of electron capture as described by this

crude calculation. Further work is clearly needed.

VOLUME 21, NUMBER 6

JUNE, 1953

Equation of State Calculations by Fast Computing Machines

NICHOLAS METROPOLIS, ARIANNA W. ROSENBLUTH, MARSHALL N. ROSENBLUTH, AND AUGUSTA H. TELLER,

Los Alamos Scientific Laboratory, Los Alamos, New Mexico

AND

EDWARD TELLER, * Department of Physics, University of Chicago, Chicago, Illinois

(Received March 6, 1953) A general method, suitable for fast computing machines, for investigatiflg such properties as equations of state for substances consisting of interacting individual molecules is described. The method consists of a modified Monte Carlo integration over configuration space. Results for the two-dimensional rigid-sphere system have been obtained on the Los Alamos MANIAC and are presented here. These results are compared to the free volume equation of state and to a four-term virial coefficient expansion.

  • I. INTRODUCTION

T

HE purpose of this paper is to describe a general

method, suitable for fast electronic computing machines, of calculating the properties of any substance which may be considered as composed of interacting individual molecules. Classical statistics is assumed,

  • nly two-body forces are considered, and the potential

field of a molecule is assumed spherically symmetric. These are the usual assumptions made in theories of

  • liquids. Subject to the above assumptions, the method

is not restricted to any range of temperature or density. This paper will also present results of a preliminary two- dimensional calculation for the rigid-sphere system. Work on the two-dimensional case with a Lennard- Jones potential is in progress and will be reported in a later paper. Also, the problem in three dimensions is being investigated.

*

Now at the Radiation Laboratory of the University of Cali- fornia, Livermore, California.

  • II. THE GENERAL METHOD FOR AN ARBITRARY

POTENTIAL BETWEEN THE PARTICLES

In order to reduce the problem to a feasible size for

numerical work, we can, of course, consider only a finite number of particles. This number N may be as high as several hundred. Our system consists of a squaret con- taining N particles. In order to minimize the surface effects we suppose the complete substance to be periodic, consisting of many such squares, each square contain- ing N particles in the same configuration. Thus we define dAB, the minimum distance between particles A and B, as the shortest distance between A and any of the particles B, of which there is one in each of the squares which comprise the complete substance. If we have a potential which falls off rapidly with distance, there will be at most one of the distances AB which can make a substantial contribution; hence we need consider only the minimum distance dAB.

t We will use

two-dimensional nomenclature here since it is easier to visualize. The extension to three dimensions is obvious.

slide-7
SLIDE 7

THE 0 R Y

0 F

T RAe KEF FEe T SIN R A D I 0 L Y SIS 0 F

W ATE R

1087 instead, only water molecules with different amounts of excitation energy. These may follow any of three paths: (a) The excitation energy is lost without dissociation into radicals (by collision, or possibly radiation, as in aromatic hydrocarbons). (b) The molecules dissociate, but the resulting radi- cals recombine without escaping from the liquid cage. (c) The molecules dissociate and escape from the

  • cage. In this case we would not expect them to move

more than a few molecular diameters through the dense medium before being thermalized.

In accordance with the notation introduced by

Burton, Magee, and Samuel,22 the molecules following

22 Burton, Magee, and Samuel, J. Chern. Phys. 20, 760 (1952).

THE JOURNAL OF CHEMICAL PHYSICS

paths (a) and (b) can be designated H 20* and those following path (c) can be designated H 20t. It seems reasonable to assume for the purpose of these calcula- tions that the ionized H 20 molecules will become the H 20t molecules, but this is not likely to be a complete correspondence. In conclusion we would like to emphasize that the qualitative result of this section is not critically de- pendent on the exact values of the physical parameters

  • used. However, this treatment is classical, and a correct

treatment must be wave mechanical; therefore the result of this section cannot be taken as an a priori theoretical prediction. The success of the radical diffu- sion model given above lends some plausibility to the

  • ccurrence of electron capture as described by this

crude calculation. Further work is clearly needed.

VOLUME 21, NUMBER 6

JUNE, 1953

Equation of State Calculations by Fast Computing Machines

NICHOLAS METROPOLIS, ARIANNA W. ROSENBLUTH, MARSHALL N. ROSENBLUTH, AND AUGUSTA H. TELLER,

Los Alamos Scientific Laboratory, Los Alamos, New Mexico

AND

EDWARD TELLER, * Department of Physics, University of Chicago, Chicago, Illinois

(Received March 6, 1953) A general method, suitable for fast computing machines, for investigatiflg such properties as equations of state for substances consisting of interacting individual molecules is described. The method consists of a modified Monte Carlo integration over configuration space. Results for the two-dimensional rigid-sphere system have been obtained on the Los Alamos MANIAC and are presented here. These results are compared to the free volume equation of state and to a four-term virial coefficient expansion.

  • I. INTRODUCTION

T

HE purpose of this paper is to describe a general

method, suitable for fast electronic computing machines, of calculating the properties of any substance which may be considered as composed of interacting individual molecules. Classical statistics is assumed,

  • nly two-body forces are considered, and the potential

field of a molecule is assumed spherically symmetric. These are the usual assumptions made in theories of

  • liquids. Subject to the above assumptions, the method

is not restricted to any range of temperature or density. This paper will also present results of a preliminary two- dimensional calculation for the rigid-sphere system. Work on the two-dimensional case with a Lennard- Jones potential is in progress and will be reported in a later paper. Also, the problem in three dimensions is being investigated.

*

Now at the Radiation Laboratory of the University of Cali- fornia, Livermore, California.

  • II. THE GENERAL METHOD FOR AN ARBITRARY

POTENTIAL BETWEEN THE PARTICLES

In order to reduce the problem to a feasible size for

numerical work, we can, of course, consider only a finite number of particles. This number N may be as high as several hundred. Our system consists of a squaret con- taining N particles. In order to minimize the surface effects we suppose the complete substance to be periodic, consisting of many such squares, each square contain- ing N particles in the same configuration. Thus we define dAB, the minimum distance between particles A and B, as the shortest distance between A and any of the particles B, of which there is one in each of the squares which comprise the complete substance. If we have a potential which falls off rapidly with distance, there will be at most one of the distances AB which can make a substantial contribution; hence we need consider only the minimum distance dAB.

t We will use

two-dimensional nomenclature here since it is easier to visualize. The extension to three dimensions is obvious.

slide-8
SLIDE 8

Quantum to Classical Mapping

Z = Tr ⇣ e−β ˆ

H⌘

Z = Tr ⇣ e− β

M ˆ

H . . . e− β

M ˆ

H⌘

space imaginary-time

β/M

. . .

β

imaginary-time axis

ˆ H = ˆ H0 + λ ˆ H1

Z =

X

k=0

λk Z β dτ1 . . . Z β

τk−1

dτk× Tr h (−1)ke−(β−τk) ˆ

H0 ˆ

H1 . . . ˆ H1e−τ1 ˆ

H0i

Traditional approach Modern approach

Beard and Wiese, 1996 Prokof’ev et al, 1996

slide-9
SLIDE 9

Modern QMC Methods

  • A. W

. Sandvik et al, PRB, 43, 5950 (1991)

  • N. V

. Prokof’ev et al, JETP , 87, 310 (1998) Gull et al, RMP , 83, 349 (2011)

bosons World-line Approach

Time Space

quantum spins Stochastic Series Expansion fermions Determinantal Methods

slide-10
SLIDE 10

Modern QMC Methods

  • A. W

. Sandvik et al, PRB, 43, 5950 (1991)

  • N. V

. Prokof’ev et al, JETP , 87, 310 (1998) Gull et al, RMP , 83, 349 (2011)

bosons World-line Approach quantum spins Stochastic Series Expansion fermions Determinantal Methods

β

slide-11
SLIDE 11

Sign problem What about a negative probability ? There has always been surprise… General solution implies P=NP But, do we need a general solution ?

T royer and Wiese, 2005

Berg et al, Science, 2012

Challenges

Huffman and Chandrasekharan, PRB, 2014

“designer” Hamiltonian new solution to the sign problem

slide-12
SLIDE 12

Spinless t-V Model

Maps to an XXZ model Orders at infinitesimal V due to Fermi surface nesting

Vc/t = 2

ˆ H = −t X

hi,ji

⇣ ˆ c†

i ˆ

cj + ˆ c†

ci ⌘ + V X

hi,ji

✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆

?

slide-13
SLIDE 13

Spinless t-V Model

Maps to an XXZ model Orders at infinitesimal V due to Fermi surface nesting

Vc/t = 2

ˆ H = −t X

hi,ji

⇣ ˆ c†

i ˆ

cj + ˆ c†

ci ⌘ + V X

hi,ji

✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆

Ising

V/t T/t

CDW Semi- Metal

slide-14
SLIDE 14

Spinless t-V Model

Maps to an XXZ model Orders at infinitesimal V due to Fermi surface nesting

Critical point ? Universality class ? C

Vc/t = 2

ˆ H = −t X

hi,ji

⇣ ˆ c†

i ˆ

cj + ˆ c†

ci ⌘ + V X

hi,ji

✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆

Ising

V/t T/t

CDW Semi- Metal

slide-15
SLIDE 15

w(C) = det M

No sign problem model at But, h

w(C) = det M↑ × det M↓ = | det M↑|2 ≥ 0

A 30 years old sign problem

e.g. spinless t-V model Meron cluster approach, Chandrasekharan and Wiese, PRL, 1999

Wu et al, PRB, 2005

Kramers pairs

Gubernatis et al, PRB, 1985 Scalapino et al, PRB, 1984

up to 8*8 square lattice and T≥ solves sign problem only for V ≥ 2t

slide-16
SLIDE 16

Determinant = Pfaffian2

For real skew-symmetric

Huffman and Chandrasekharan, PRB, 2014

det M = (pf M)2 ≥ 0

SU(3) split Dirac cone strain

Small idea solves big problems!

spinless fermions

LW and T royer, PRL 2014 LW , Corboz, T royer, NJP 2014 (IOPselect) LW , Iazzi, Corboz, T royer, 1501.00986, PRB in press (Editors' Suggestion)

M T = −M

Appears naturalmy in modern CT-QMC

slide-17
SLIDE 17

Observables & Scaling Ansatz

±1 for A(B) sublattice

up to 450 sites

2L2 M2 = 1 N 2 X

i,j

ηiηj ⌧✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆

M4 = 1 N 4 X

i,j,k,l

ηiηjηkηl ⌧✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆ ✓ ˆ nk − 1 2 ◆ ✓ ˆ nl − 1 2 ◆

slide-18
SLIDE 18

Observables & Scaling Ansatz

±1 for A(B) sublattice

up to 450 sites

2L2

Scalings ansatz close to the QCP

M2 = L−z−ηF[L1/ν(V − Vc), Lz/β]

M4 = L−2z−2ηG[L1/ν(V − Vc), Lz/β]

M2 = 1 N 2 X

i,j

ηiηj ⌧✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆

M4 = 1 N 4 X

i,j,k,l

ηiηjηkηl ⌧✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆ ✓ ˆ nk − 1 2 ◆ ✓ ˆ nl − 1 2 ◆

slide-19
SLIDE 19

Observables & Scaling Ansatz

z = 1

relativistic invariance

±1 for A(B) sublattice

up to 450 sites

2L2

Scalings ansatz close to the QCP

M2 = L−z−ηF[L1/ν(V − Vc), Lz/β]

M4 = L−2z−2ηG[L1/ν(V − Vc), Lz/β]

M2 = 1 N 2 X

i,j

ηiηj ⌧✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆

M4 = 1 N 4 X

i,j,k,l

ηiηjηkηl ⌧✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆ ✓ ˆ nk − 1 2 ◆ ✓ ˆ nl − 1 2 ◆

slide-20
SLIDE 20

Observables & Scaling Ansatz

z = 1

relativistic invariance

±1 for A(B) sublattice

up to 450 sites

2L2

Scalings ansatz close to the QCP

M2 = L−z−ηF[L1/ν(V − Vc), Lz/β]

M4 = L−2z−2ηG[L1/ν(V − Vc), Lz/β]

M2 = 1 N 2 X

i,j

ηiηj ⌧✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆

M4 = 1 N 4 X

i,j,k,l

ηiηjηkηl ⌧✓ ˆ ni − 1 2 ◆ ✓ ˆ nj − 1 2 ◆ ✓ ˆ nk − 1 2 ◆ ✓ ˆ nl − 1 2 ◆

slide-21
SLIDE 21

Binder Ratio

R = M4 (M2)2

LW , Corboz, T royer, NJP 16, 103008 (2014)

slide-22
SLIDE 22

Data Collapse

Vc/t = 1.356(1) ν = 0.80(3) η = 0.302(7)

M2Lz+η = F(L1/ν(V − Vc))

M4L2z+2η = G(L1/ν(V − Vc))

* Errorbars

χ2 + 1

LW , Corboz, T royer, NJP 16, 103008 (2014)

slide-23
SLIDE 23

Gross-Neveu-Y ukawa Theory

ε

Rosenstein et al, PLB, 1993

ν = 0.797

functional renormalization group Rosa et al, PRL,2001 Höfling et al, PRB, 2002

𝜉 η

η = 0.502 ν = 0.80(3) η = 0.302(7)

Honeycomb

ν = 0.738 ∼ 0.927 η = 0.525 ∼ 0.635

* Field theory calculations are based on 2-flavors of 2-component Dirac fermions with the

slide-24
SLIDE 24

Check-I: 𝜌-flux square lattice

also features two Dirac points

Vc/t = 1.304(2) ν = 0.80(6) η = 0.318(8)

  • flux lattice

π

slide-25
SLIDE 25

Check-II: iPEPS

Philippe Corboz Amsterdam

Vc = 1.36(3)

∼ (V − Vc)

˜ β 0.8 1 1.2 1.4 1.6 1.8 2 0.1 0.2 0.3 0.4 0.5 0.6 0.7 V OPCDW D=4 D=5 D=7 D=9 extrapolated CTQMC

slide-26
SLIDE 26

Check-II: iPEPS

Philippe Corboz Amsterdam

Vc = 1.36(3)

∼ (V − Vc)

˜ β

CTQMC

˜ β = ν 2(z + η) = 0.52(3)

0.8 1 1.2 1.4 1.6 1.8 2 0.1 0.2 0.3 0.4 0.5 0.6 0.7 V OPCDW D=4 D=5 D=7 D=9 extrapolated CTQMC

slide-27
SLIDE 27

Updates: results at T=0

L Majorana

LW , Iazzi, Corboz, T royer, 1501.00986 Li, Jiang and Y ao, 1408.2269 Li, Jiang and Y ao, 1411.7383

1.32 1.33 1.34 1.35 1.36 1.37 1.38 1.8 2.0 2.2 2.4 2.6

Binder ratio V

L=9 L=12 L=15 L=18 L=21 1.30 1.35 1.40 1.45 1.50 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 ∆CDW V

Consistent with finite-T results

η = 0.45(2) ν = 0.77(3) Vc/t = 1.355(1)

Iazzi, T royer, 1411.0683

slide-28
SLIDE 28

Compare Make sure to compare with the Larger systems

Vc/t = 1.356(1) ν = 0.80(3) η = 0.302(7)

CTQMC

The new solution

  • ld problem about spinless fermions

Summary-I

There are still some discrepancies, to resolve them

Critical point ? Universality class ? C

slide-29
SLIDE 29

A very recent surprise to us Fidelity Susceptibility

slide-30
SLIDE 30

ˆ H(λ) = ˆ H0 + λ ˆ H1

Temperature

λc

Phase 2 Phase 1 Quantum Critical

What’s that ? Why should I care ?

= 1 − F 2 ✏2 + . . . F(, ✏) = |hΨ()|Ψ( + ✏)i|

Fidelity Susceptibility Fidelity

Y

  • u, Li, and Gu, 2007

Campos V enuti et al, 2007

slide-31
SLIDE 31

A general indicator of quantum phase transitions

No need for local order parameter e.g. Kitaev model, Abasto et al 2008, Y ang et al 2008

ˆ H(λ) = ˆ H0 + λ ˆ H1

What’s that ? Why should I care ?

= 1 − F 2 ✏2 + . . . F(, ✏) = |hΨ()|Ψ( + ✏)i|

Fidelity Susceptibility Fidelity Fulfills scaling law around QCP Gu et al 2009,

Albuquerque et al 2010

Y

  • u, Li, and Gu, 2007

Campos V enuti et al, 2007

slide-32
SLIDE 32

A general indicator of quantum phase transitions

No need for local order parameter e.g. Kitaev model, Abasto et al 2008, Y ang et al 2008

ˆ H(λ) = ˆ H0 + λ ˆ H1

What’s that ? Why should I care ?

Fulfills scaling law around QCP Gu et al 2009,

Albuquerque et al 2010

However, very hard to compute,

  • nly a few limited tools

Y

  • u, Li, and Gu, 2007

Campos V enuti et al, 2007

slide-33
SLIDE 33

Fidelity Susceptibility Made Simple !

χF = hkLkRi hkLi hkRi 2λ2

β

LW , Liu, Imriška, Ma and T royer, 1502.06969

slide-34
SLIDE 34

Fidelity Susceptibility Made Simple !

χF = hkLkRi hkLi hkRi 2λ2

β

LW , Liu, Imriška, Ma and T royer, 1502.06969

slide-35
SLIDE 35

Fidelity Susceptibility Made Simple !

χF = hkLkRi hkLi hkRi 2λ2

β

kL = 2 kR = 4

LW , Liu, Imriška, Ma and T royer, 1502.06969

slide-36
SLIDE 36

Fidelity Susceptibility Made Simple !

χF = hkLkRi hkLi hkRi 2λ2 kL kR kL kR

Stochastic Series Expansion

(quantum spins)

Determinantal Methods

(fermions)

Worldline Algorithms

(bosons)

Time Space

kL kR

LW , Liu, Imriška, Ma and T royer, 1502.06969

slide-37
SLIDE 37

Bose-Hubbard Model

Mott Insulator Superfluid Divergence of fidelity susceptibility correctly single out the quantum critical point

ˆ H = U 2 X

i

ˆ ni (ˆ ni − 1) − λ X

hi,ji

⇣ ˆ b†

bj + ˆ b†

bi ⌘

slide-38
SLIDE 38

Bose-Hubbard Model

Mott Insulator Superfluid Divergence of fidelity susceptibility correctly single out the quantum critical point

1.0 0.8 0.6 0.4 0.2 0.06 0.05 0.04 0.03 0.02 0.01 0.40 0.38 0.36 0.34 0.0594 0.0588

µ/U

J/U

Capogrosso-Sansone, et al., PRA, 77, 015602 (2008)

ˆ H = U 2 X

i

ˆ ni (ˆ ni − 1) − λ X

hi,ji

⇣ ˆ b†

bj + ˆ b†

bi ⌘

slide-39
SLIDE 39

Honeycomb Hubbard Model

SM SL AFMI 0.1 0.2 0.1 0.2 0.3 0.4 0.5 2 2.5 3 3.5 4 4.5 5 5.5 6 ms U/t ms

sp(K)/t

Δ

s (×6)

Δ

sp/t,

Δ

Γ

K K′ M a1 b1 b2 a2

kx ky y

Δ s/t x

?

Meng et al, Nature 2010 Sorella et al, Sci.Rep 2012

  • cf. Assaad et al, PRX 2013

Toldin et al, PRB 2015

A hotly debated problem in recent years

ˆ H = −t X

hi,ji

X

σ={",#}

⇣ ˆ c†

iσˆ

cjσ + ˆ c†

jσˆ

ciσ ⌘ + λ X

i

✓ ˆ ni" − 1 2 ◆ ✓ ˆ ni# − 1 2 ◆

slide-40
SLIDE 40

There is only one peak !

Suggesting a single transition, i.e. no intermediate phase

Calculated using LCT-INT

  • cf. 1411.0683 & 1501.00986 

slide-41
SLIDE 41

Why it works ?

χF = hkLkRi hkLi hkRi 2λ2

β

Z =

X

k=0

λk Z β dτ1 . . . Z β

τk−1

dτk× Tr h (−1)ke−(β−τk) ˆ

H0 ˆ

H1 . . . ˆ H1e−τ1 ˆ

H0i

fugacity Quantum Phase T ransition Classical Particle Condensation

  • cf. Anderson and Y

uval, 1969

Maps the Kondo model to a classical Coulomb gas

slide-42
SLIDE 42

Summary-II

Fidelity Susceptibility: A general purpose indicator of quantum phase transition

Thanks to my collaborators !

Mauro Iazzi Philippe Corboz Ping Nang Ma Matthias Troyer Jakub Imriška Ye-Hua Liu

slide-43
SLIDE 43

Summary-II

Fidelity Susceptibility: A general purpose indicator of quantum phase transition

Thanks to my collaborators !

Mauro Iazzi Philippe Corboz Ping Nang Ma Matthias Troyer Jakub Imriška Ye-Hua Liu

slide-44
SLIDE 44

Thank Y

  • u !