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  1. Jan 2, 2024We discuss Hamiltonian learning in quantum field theories as a protocol for systematically extracting the operator content and coupling constants of effective field theory Hamiltonians from experimental data. Learning the Hamiltonian for varying spatial measurement resolutions gives access to field theories at different energy scales, and allows to learn a flow of Hamiltonians reminiscent of ...
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  3. journals.aps.org

    Dec 16, 2024Quantum simulation aims at predicting the properties of isolated quantum many-body systems for a model Hamilto-nian of interest through engineered quantum devices [1,2]. Hamiltonian learning (HL) [3-14] addresses the inverse prob-lem, specifically, the acquisition of the operator content of the system Hamiltonian Hˆ sys. This Hamiltonian is ...
  4. quantum field theories in quantum simulation experiments. I. INTRODUCTION Quantum simulation aims at predicting the proper-ties of isolated quantum many-body systems for a model Hamiltonian of interest through engineered quantum de-vices [1, 2]. Hamiltonian Learning (HL) [3-13] addresses the inverse problem, specifically, the acquisition of the
  5. link.aps.org

    Dec 16, 2024Quantum field theories (QFTs) as relevant for condensed-matter or high-energy physics are formulated in continuous space and time, and typically emerge as effective low-energy descriptions. In atomic physics, an example is given by tunnel-coupled superfluids, which realize the paradigmatic sine-Gordon model, and can act as quantum simulators of continuous QFTs. To quantitatively characterize ...
  6. Here, we develop Hamiltonian learning for quantum field theories (QFTs), which represent theories of interacting quantum fields formulated in continuous space, a conceptual framework familiar from particle physics Weinberg and condensed matter physics Altland and Simons (); Sachdev (); Fradkin ().This includes the experimentally relevant examples of interacting quantum degenerate Bose and ...
  7. researchgate.net

    Dec 16, 2024The goal is to learn an effective Hamiltonian for a description of a quantum simulation in terms of a quantum field theory. (Left) We consider a quantum system (QS) with spatial degrees of freedom ...
  8. ui.adsabs.harvard.edu

    Quantum field theories (QFTs) as relevant for condensed-matter or high-energy physics are formulated in continuous space and time, and typically emerge as effective low-energy descriptions. In atomic physics, an example is given by tunnel-coupled superfluids, which realize the paradigmatic sine-Gordon model, and can act as quantum simulators of continuous QFTs. To quantitatively characterize ...
  9. inspirehep.net

    Jan 2, 2024Quantum field theories (QFTs) as relevant for condensed-matter or high-energy physics are formulated in continuous space and time, and typically emerge as effective low-energy descriptions. In atomic physics, an example is given by tunnel-coupled superfluids, which realize the paradigmatic sine-Gordon model, and can act as quantum simulators of ...
  10. ui.adsabs.harvard.edu

    We discuss Hamiltonian learning in quantum field theories as a protocol for systematically extracting the operator content and coupling constants of effective field theory Hamiltonians from experimental data. Learning the Hamiltonian for varying spatial measurement resolutions gives access to field theories at different energy scales, and allows to learn a flow of Hamiltonians reminiscent of ...
  11. Jan 2, 2024Hamiltonian Learning in Quantum Field Theories. Creators. Ott, Robert (Contact person ) 1, 2 ... QARA - Quantum Applications with Rydberg Atom Arrays 101041435 European Commission ... 35 35 Downloads Total downloads 1 1 Data volume Total data volume 969.7 kB: 969.7 kB: More info on how stats are collected.... Versions. External resources ...

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