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Minimally entangled typical thermal states with auxiliary - - PowerPoint PPT Presentation

Minimally entangled typical thermal states with auxiliary matrix-product-state bases Chia-Min Chung Ludwig-Maximilians-Universitt Mnchen 05 Dec/2019 TNSAA 2019-2020 Motivation: Finite temperature problems for frustrated or Fermionic systems


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Minimally entangled typical thermal states with auxiliary matrix-product-state bases

05 Dec/2019 TNSAA 2019-2020

Chia-Min Chung Ludwig-Maximilians-Universität München

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Motivation: Finite temperature problems for frustrated or Fermionic systems

cold atom

[Mazurenko, Nature 22362, 2017]

Example1: Hubbard model Example2: Heisenberg model on triangular lattice

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  • Review the finite-temperature algorithms
  • Purification
  • Minimally entangled typical thermal states (METTS)
  • METTS with auxiliary MPS
  • Benchmark on XXZ model on triangular lattice

Outline

T=0: tensor network High T: QMC high entanglement sign problem ???

Need to improve the method at low temperature

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N/2 physical auxiliary = = Purification is equivalent to the density matrix Bases on auxiliary sites are arbitrary

Purification

[Verstraete, PRL. (2004), Zwolak, PRL. (2004), Feiguin, PRB (2005)]

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Purification

N/2

[Verstraete, PRL. (2004), Zwolak, PRL. (2004), Feiguin, PRB (2005)]

purification singlet

  • Represent a mixed state by a pure state with enlarged Hilbert space

physical sites auxiliary sites

  • Imaginary time evolution on a purified MPS

=

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singlet unitary = = unitary transformation Purification is equivalent to the density matrix evolved from identity (The same number of auxiliary sites are always enough)

Purification

[Verstraete, PRL. (2004), Zwolak, PRL. (2004), Feiguin, PRB (2005)]

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METTS – original scheme

Given an arbitrary product state

  • 1. Time evolution,
  • 2. Collapse to with probability

N/2 = Detail balance

[Stoudenmire, New J. Phys. (2010), White, PRL. (2009)]

Sample the state with probability

collapse

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METTS – “diagram” representation

= probability weight METTS: sample and iteratively.

Given an arbitrary product state

  • 1. Time evolution,
  • 2. Collapse to with probability
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  • Measure in the ensemble

=

Monte Carlo sum

METTS – original scheme

[Stoudenmire, New J. Phys. (2010), White, PRL. (2009)]

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collapse the first site Collapse to with probability

METTS – original scheme

[Stoudenmire, New J. Phys. (2010), White, PRL. (2009)]

Algorithm: collapse site by site

collapse the second site

...

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Collapsing probability

METTS – original scheme

[Stoudenmire, New J. Phys. (2010), White, PRL. (2009)]

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Comparison between purification and METTS

  • T→∞

purification: METTS:

  • T→0

purification: METTS: Required bond dimensions 1 1 × lot of samplings D2 D (1 sampling) Purification is more efficient at high and intermediate temperature, while METTS is more efficient at low temperature. D

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Quantum number and autocorrelation in METTS

N/2 =

collapse

  • If and conserve quantum number, the simulation will be stuck in the

corresponding quantum number sector.

  • For high T or small off-diagonal Hamiltonian, METTS algorithm will be stuck.
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Collapse to orthogonal bases

N/2 =

collapse

Good:

  • Reduce autocorrelation time.
  • Grand canonical ensemble.

[Stoudenmire, New J. Phys (2010)]

Bad:

  • Require MPS with no quantum number

[Stoudenmire, New J. Phys (2010)]

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New algorithm

We want:

  • Use quantum number conserving MPS
  • Reduce the autocorrelation

[arXiv:1910.03329], see also [Jing Chen, arXiv:1910.09142]

Key idea:

  • Remain some sites uncollapsed

N/2 =

collapse

MPS with auxiliary indices (auxiliary MPS, or AMPS)

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METTS – “diagram” representation

bases: AMPS bases: The uncollapsed sites play roles as “presuming” the partition function

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  • The whole AMPS still has good

quantum number

  • The quantum number can change in

each step by ±1/2 Sz±1/2

0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75 2.00 samples ×104 −0.04 −0.03 −0.02 −0.01 0.00 Sz/N

L=64 Heisenberg chain at β=2 Starting from all down spins

1 2 3 4 samples −30 −20 −10 Sz

Naux = 2 Naux = 4 Naux = 8 Naux = 16

Sz Auxiliary sites induce the quantum number fluctuation

New algorithm

[arXiv:1910.03329], see also [Jing Chen, arXiv:1910.09142]

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  • Collapsing algorithm

contract both the physical and auxiliary indices

New algorithm

[arXiv:1910.03329], see also [Jing Chen, arXiv:1910.09142]

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Grand canonical METTS

  • Measure:

contract both the physical the auxiliary sites

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Benchmark on trianglular lattice, XXZ model, Jz=0.8

[Sellmann, PRB 91, 081104(R) (2015)]

  • Sign problem in the quantum Monte Carlo
  • We consider B=0, Jz=0.8
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Benchmark: 12x3 trianglular lattice, XXZ model, Jz=0.8

purification

Sz-Sx

β=16 AMPS-METTS outperforms Sz-Sx METTS and purification at low temperature

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25 50 m (d) 5 10 15 Naux 2.5 5.0 τautocorr (e)

β=4

Benchmark: 12x3 trianglular lattice, XXZ model, Jz=0.8

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β=0.2

Benchmark: 12x3 trianglular lattice, XXZ model, Jz=0.8 7.5 10.0 12.5 m (d) 5 10 15 Naux 5 10 15 τautocorr (e)

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Lei Chen, PRB 99, 140404(R) (2019)

Heisenberg model on triangular lattice

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Effects of auxiliary indices:

  • Induce quantum number fluctuation
  • Reduce autocorrelation time
  • Narrow the probability distribution

β=4

Benchmark: 12x3 trianglular lattice, XXZ model, Jz=0.8

The identities = “presum” of the partition function

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i j1 j2

Benchmark: 12x3 trianglular lattice, XXZ model, Jz=0.8

β=16

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Conclusion

METTS with AMPS bases

  • Simulate grand canonical ensemble
  • Increasing :

1) Narrow distribution 2) reduce autocorrelation time 3) increase bond dimension

  • Works better than Sz-Sx basis at low temperature
  • Easy to be extend to SU(2)
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Discussion

  • Sign problem will come back
  • Completely flexible in choosing bases

Approach the path-integral Monte Carlo Can update the configuration by collapsing New hope?

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Discussion

Example of possible bases:

  • Local rotation

[D. Hangleiter, arXiv:1906.02309 (2019)]

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For example, singlet-triplet basis is shown to be sign-problem free for J1- J2 model on two-leg ladder for J1=J2 (and some other region).

Discussion

Example of possible bases:

  • Local rotation

[D. Hangleiter, arXiv:1906.02309 (2019)]

  • Multiple-site bases

[Alet, et. al. PRL 117, 197203 (2016)]

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Discussion

Example of possible bases:

  • Local rotation

[D. Hangleiter, arXiv:1906.02309 (2019)]

  • Multiple-site bases

[Alet, et. al. PRL 117, 197203 (2016)]

  • MPS bases
  • MERA-like bases
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Discussion

Example of possible bases:

  • Local rotation

[D. Hangleiter, arXiv:1906.02309 (2019)]

  • Multiple-site bases

[Alet, et. al. PRL 117, 197203 (2016)]

  • MPS bases
  • MERA-like bases
  • Rotation of single particle basis

[R. Levy, arXiv:1907.02076(2019)]

New hope???