Search Results for author: Frank Pollmann

Found 12 papers, 4 papers with code

Classification of the Fashion-MNIST Dataset on a Quantum Computer

no code implementations4 Mar 2024 Kevin Shen, Bernhard Jobst, Elvira Shishenina, Frank Pollmann

The potential impact of quantum machine learning algorithms on industrial applications remains an exciting open question.

Benchmarking Quantum Machine Learning

Distributive Pre-Training of Generative Modeling Using Matrix-Product States

no code implementations26 Jun 2023 Sheng-Hsuan Lin, Olivier Kuijpers, Sebastian Peterhansl, Frank Pollmann

Tensor networks have recently found applications in machine learning for both supervised learning and unsupervised learning.

Density Estimation Tensor Networks

Scaling of neural-network quantum states for time evolution

1 code implementation21 Apr 2021 Sheng-Hsuan Lin, Frank Pollmann

Simulating quantum many-body dynamics on classical computers is a challenging problem due to the exponential growth of the Hilbert space.

Quantum phases of two-dimensional $\mathbb{Z}_2$ gauge theory coupled to single-component fermion matter

no code implementations15 Dec 2020 Umberto Borla, Bhilahari Jeevanesan, Frank Pollmann, Sergej Moroz

In particular limits the model reduces to (i) pure $\mathbb{Z}_2$ even and odd gauge theories, (ii) free fermions in a static background of deconfined $\mathbb{Z}_2$ gauge fields, (iii) the kinetic Rokhsar-Kivelson quantum dimer model at a generic dimer filling.

Strongly Correlated Electrons Quantum Gases Superconductivity High Energy Physics - Lattice High Energy Physics - Theory

Real- and imaginary-time evolution with compressed quantum circuits

no code implementations24 Aug 2020 Sheng-Hsuan Lin, Rohit Dilip, Andrew G. Green, Adam Smith, Frank Pollmann

The current generation of noisy intermediate scale quantum computers introduces new opportunities to study quantum many-body systems.

Quantum Physics Mesoscale and Nanoscale Physics Strongly Correlated Electrons

Anomalous Diffusion in Dipole- and Higher-Moment Conserving Systems

no code implementations1 Apr 2020 Johannes Feldmeier, Pablo Sala, Giuseppe de Tomasi, Frank Pollmann, Michael Knap

The presence of global conserved quantities in interacting systems generically leads to diffusive transport at late times.

Strongly Correlated Electrons Quantum Physics

Crossing a topological phase transition with a quantum computer

no code implementations11 Oct 2019 Adam Smith, Bernhard Jobst, Andrew G. Green, Frank Pollmann

The simulation that we perform is easily scalable and is a practical demonstration of the utility of near-term quantum computers for the study of quantum phases of matter and their transitions.

Strongly Correlated Electrons Mesoscale and Nanoscale Physics Quantum Physics

Interaction-driven plateau transition between integer and fractional Chern Insulators

no code implementations2 Aug 2019 Leon Schoonderwoerd, Frank Pollmann, Gunnar Möller

As a concrete example, we numerically explore the physics at flux density $n_{\phi} = 3/11$, where we show evidence that a direct transition occurs between a CI and a $\nu = 1/3$ Laughlin state, which we characterise in terms of its critical, topological and entanglement properties.

Strongly Correlated Electrons Mesoscale and Nanoscale Physics

Simulating quantum many-body dynamics on a current digital quantum computer

1 code implementation14 Jun 2019 Adam Smith, M. S. Kim, Frank Pollmann, Johannes Knolle

Universal quantum computers are potentially an ideal setting for simulating many-body quantum dynamics that is out of reach for classical digital computers.

Quantum Physics Mesoscale and Nanoscale Physics Strongly Correlated Electrons

Isometric Tensor Network States in Two Dimensions

no code implementations13 Feb 2019 Michael P. Zaletel, Frank Pollmann

Tensor network states (TNS) are a promising but numerically challenging tool for simulating two-dimensional (2D) quantum many-body problems.

Strongly Correlated Electrons Quantum Physics

Efficient numerical simulations with Tensor Networks: Tensor Network Python (TeNPy)

2 code implementations30 Apr 2018 Johannes Hauschild, Frank Pollmann

Tensor product state (TPS) based methods are powerful tools to efficiently simulate quantum many-body systems in and out of equilibrium.

Strongly Correlated Electrons

The phase diagram of the anisotropic spin-2 XXZ model: an infinite system DMRG study

1 code implementation26 Dec 2012 Jonas A. Kjäll, Michael P. Zaletel, Roger S. K. Mong, Jens H. Bardarson, Frank Pollmann

We study the ground state phase diagram of the quantum spin-2 XXZ chain in the presence of on-site anisotropy using a matrix-product state based infinite system density-matrix-renormalization-group (iDMRG) algorithm.

Strongly Correlated Electrons

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