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We present a detailed analytical and numerical examination, on square and triangular lattices, of the nonreciprocal planar spin model introduced in Dadhichi et al. [Phys. Rev. E 101, 052601 (2020)PRESCM2470-004510.1103/PhysRevE.101.052601]. We show that the effect of lattice anisotropy should persist at large scales, leading to a "mass" for the angle field of the spins, and behavior not in the "Malthusian Toner-Tu" [Phys. Rev. Lett. 108, 088102 (2012)PRLTAO0031-900710.1103/PhysRevLett.108.088102] universality class. Numerically, we find evidence of this mass at large values of our nonreciprocity parameter; for smaller values, we find power-law scaling of long-wavelength equal-time correlators in the polar-ordered phase of our lattice model over the system sizes and wave number range explored. Focussing on topological defects, we show numerically that defect interactions are highly anisotropic with respect to the mean ordering direction. In particular, the constituents of a ±1 pair are shielded from each other in a class of configurations, deferring their annihilation and allowing time for the nucleation of further defects. The result, we show numerically, is the destruction of the polarized phase via an aster apocalypse reminiscent of that found by Besse et al. [Phys. Rev. Lett. 129, 268003 (2022)PRLTAO0031-900710.1103/PhysRevLett.129.268003] for flocks without number conservation.
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http://dx.doi.org/10.1103/2yky-45sr | DOI Listing |
Phys Rev Lett
August 2025
The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Simulating large-scale lattice dynamics remains a long-standing challenge in condensed matter and materials science, where mechanical and thermal behaviors arise from coupled vibrational modes. We introduce a quantum algorithm that reformulates general harmonic lattice dynamics as a time-dependent Schrödinger equation governed by a sparse, Hermitian Hamiltonian. This enables the use of Hamiltonian simulation techniques on quantum devices, offering exponential speedup in the number of atoms N.
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August 2025
Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA.
Models of how things spread often assume that transmission mechanisms are fixed over time. However, social contagions-the spread of ideas, beliefs, innovations-can lose or gain in momentum as they spread: ideas can get reinforced, beliefs strengthened, products refined. We study the impacts of such self-reinforcement mechanisms in cascade dynamics.
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August 2025
Southern University of Science and Technology, Department of Physics, State Key Laboratory of Quantum Functional Materials, and Guangdong Basic Research Center of Excellence for Quantum Science, Shenzhen 518055, China.
Quantum computing is expected to provide an exponential speedup in machine learning. However, optimizing the data loading process, commonly referred to as "quantum data embedding," to maximize classification performance remains a critical challenge. In this Letter, we propose a neural quantum embedding (NQE) technique based on deterministic quantum computation with one qubit (DQC1).
View Article and Find Full Text PDFPhys Rev Lett
August 2025
University of Texas at Austin, Department of Physics, Austin, Texas 78712, USA.
We show that the ground state of a weakly charged two-dimensional electron-hole fluid in a strong magnetic field is a broken translation symmetry state with interpenetrating lattices of localized vortices and antivortices in the electron-hole-pair field. The vortices and antivortices carry fractional charges of equal sign but unequal magnitude and have a honeycomb-lattice structure that contrasts with the triangular lattices of superconducting electron-electron-pair vortex lattices. We predict that increasing charge density or a weakening magnetic field drives a vortex delocalization transition that would be signaled experimentally by an abrupt increase in counterflow transport resistance.
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