Simulating two-dimensional topological quantum phase transitions on a digital quantum computer

Efficient preparation of many-body ground states is key to harnessing the power of quantum computers in studying quantum many-body systems. In this work, we propose a simple method to design exact linear-depth parameterized quantum circuits which prepare a family of ground states across topological quantum phase transitions in 2D. We achieve this by constructing ground states represented by isometric tensor networks (isoTNS), which form a subclass of tensor network states that are efficiently preparable. By continuously tuning a parameter in the wavefunction, the many-body ground state undergoes quantum phase transitions, exhibiting distinct 2D quantum phases. We illustrate this by constructing an isoTNS path with bond dimension <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mi>D</a:mi><a:mo>=</a:mo><a:mn>2</a:mn></a:mrow></a:math> interpolating between distinct symmetry-enriched topological (SET) phases. At the transition point, the wavefunction is related to a gapless point in the classical six-vertex model. Furthermore, the critical wavefunction supports a power-law correlation along one spatial direction while remaining long-range ordered in the other spatial direction. We provide an explicit parametrized local quantum circuit for the path and show that the 2D isoTNS can also be efficiently simulated by a holographic quantum algorithm requiring only an 1D array of qubits. Published by the American Physical Society 2024

Authors

Institutions

Publication Details

Journal
Physical Review Research
Published
2024-12-11
DOI
https://doi.org/10.1103/physrevresearch.6.043256
Citations
5
Primary Topic
Quantum and electron transport phenomena
Type
article
Field-Weighted Citation Impact
1.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulating two-dimensional topological quantum phase transitions on a digital quantum computer

Kirill Shtengel, Frank Pollmann, Yu-Jie Liu
5 citations
Physical Review Research
Quantum and electron transport phenomena
1.69
article

Simulating two-dimensional topological quantum phase transitions on a digital quantum computer

Kirill Shtengel, Frank Pollmann, Yu-Jie Liu
article en
5 citations

Abstract

Efficient preparation of many-body ground states is key to harnessing the power of quantum computers in studying quantum many-body systems. In this work, we propose a simple method to design exact linear-depth parameterized quantum circuits which prepare a family of ground states across topological quantum phase transitions in 2D. We achieve this by constructing ground states represented by isometric tensor networks (isoTNS), which form a subclass of tensor network states that are efficiently preparable. By continuously tuning a parameter in the wavefunction, the many-body ground state undergoes quantum phase transitions, exhibiting distinct 2D quantum phases. We illustrate this by constructing an isoTNS path with bond dimension <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mi>D</a:mi><a:mo>=</a:mo><a:mn>2</a:mn></a:mrow></a:math> interpolating between distinct symmetry-enriched topological (SET) phases. At the transition point, the wavefunction is related to a gapless point in the classical six-vertex model. Furthermore, the critical wavefunction supports a power-law correlation along one spatial direction while remaining long-range ordered in the other spatial direction. We provide an explicit parametrized local quantum circuit for the path and show that the 2D isoTNS can also be efficiently simulated by a holographic quantum algorithm requiring only an 1D array of qubits. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(4)
University of California, Riverside (US), Munich Center for Quantum Science and Technology (DE), Technical University of Munich (DE)
European Commission, Deutsche Forschungsgemeinschaft, Horizon 2020 Framework Programme, H2020 European Research Council
Peace, Justice and strong institutions
Openalex Percentile: Top 15%
Quantum and electron transport phenomena
1.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.