A survey on the complexity of learning quantum states
Quantum learning theory is a new and very active area of research at the intersection of
quantum computing and machine learning. Important breakthroughs in the past two years …
quantum computing and machine learning. Important breakthroughs in the past two years …
Superconductivity in the pressurized nickelate La3Ni2O7 in the vicinity of a BEC–BCS crossover
Ever since the discovery of high-temperature superconductivity in cuprates, gaining
microscopic insights into the nature of pairing in strongly correlated systems has remained …
microscopic insights into the nature of pairing in strongly correlated systems has remained …
Formation of individual stripes in a mixed-dimensional cold-atom Fermi–Hubbard system
The relation between d-wave superconductivity and stripes is fundamental to the
understanding of ordered phases in high-temperature cuprate superconductors,,,,–. These …
understanding of ordered phases in high-temperature cuprate superconductors,,,,–. These …
Neural network approach to quasiparticle dispersions in doped antiferromagnets
Numerically simulating large, spinful, fermionic systems is of great interest in condensed
matter physics. However, the exponential growth of the Hilbert space dimension with system …
matter physics. However, the exponential growth of the Hilbert space dimension with system …
Local control and mixed dimensions: exploring high-temperature superconductivity in optical lattices
The simulation of high-temperature superconducting materials by implementing strongly
correlated fermionic models in optical lattices is one of the major objectives in the field of …
correlated fermionic models in optical lattices is one of the major objectives in the field of …
Kinetic-to-magnetic frustration crossover and linear confinement in the doped triangular model
Microscopically understanding competing orders in strongly correlated systems is a key
challenge in modern quantum many-body physics. For example, the study of magnetic …
challenge in modern quantum many-body physics. For example, the study of magnetic …
Robust stripes in the mixed-dimensional model
Microscopically understanding competing orders in strongly correlated systems is a key
challenge in modern quantum many-body physics. For example, the origin of stripe order …
challenge in modern quantum many-body physics. For example, the origin of stripe order …
Fluctuation based interpretable analysis scheme for quantum many-body snapshots
Microscopically understanding and classifying phases of matter is at the heart of strongly-
correlated quantum physics. With quantum simulations, genuine projective measurements …
correlated quantum physics. With quantum simulations, genuine projective measurements …
Geometric fractionalized Fermi liquids: Hidden antiferromagnetism and pseudogap from fluctuating stripes
One of the key features of hole-doped cuprates is the presence of an extended pseudogap
phase, whose microscopic origin has been the subject of intense investigation since its …
phase, whose microscopic origin has been the subject of intense investigation since its …
Formation of stripes in a mixed-dimensional cold-atom Fermi-Hubbard system
The relation between d-wave superconductivity and stripes is fundamental to the
understanding of ordered phases in cuprates. While experimentally both phases are found …
understanding of ordered phases in cuprates. While experimentally both phases are found …