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The quantum geometric properties of topological materials underpin many exotic physical phenomena and applications. Quantum nonlinearity has emerged as a powerful probe for revealing these properties. The Berry curvature dipole in nonmagnetic materials and the quantum metric dipole in antiferromagnets have been explored by studying the second-order nonlinear Hall effect. Although the quadrupole moment of the quantum geometric tensor is theoretically predicted to induce higher-order quantum nonlinearity, the quantum metric quadrupole remains experimentally unexplored. Here, we report the quantum metric quadrupole induced third-order nonlinear longitudinal electrical response in few-layer WTe_{2}, persisting up to room temperature. Angle-resolved third-harmonic current-voltage characteristics are found consistent with the intrinsic crystal symmetry of WTe_{2}. Through temperature variation and scaling analysis, we identify the quantum metric quadrupole as the physical origin of the observed third-order longitudinal nonlinearity. Additionally, we determine the angle dependence of the quantum metric quadrupole, establishing third-order nonlinearity as an efficient method for revealing the quantum metric structure.
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http://dx.doi.org/10.1103/PhysRevLett.134.026305 | DOI Listing |
Quantum Mach Intell
September 2025
USRA Research Institute for Advanced Computer Science (RIACS), Moffett Field, CA USA.
We discuss guidelines for evaluating the performance of parameterized stochastic solvers for optimization problems, with particular attention to systems that employ novel hardware, such as digital quantum processors running variational algorithms, analog processors performing quantum annealing, or coherent Ising machines. We illustrate through an example a benchmarking procedure grounded in the statistical analysis of the expectation of a given performance metric measured in a test environment. In particular, we discuss the necessity and cost of setting parameters that affect the algorithm's performance.
View Article and Find Full Text PDFBasic Clin Pharmacol Toxicol
October 2025
Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India.
Early detection of diseases is a critical pillar in advancing modern healthcare, offering timely interventions and better patient outcomes. This overview highlights a range of machine learning (ML) approaches that are transforming early disease diagnosis. We discuss how traditional supervised and unsupervised methods, alongside advanced deep learning and reinforcement learning techniques, are utilized to detect early disease markers, often before clinical symptoms appear.
View Article and Find Full Text PDFNatl Sci Rev
September 2025
Institute for Advanced Study in Physics and School of Physics, Zhejiang University, Hangzhou 310058, China.
Exactly solved models provide rigorous understanding of many-body phenomena in strongly correlated systems. In this article, we report a breakthrough in uncovering universal many-body correlated properties of the quantum integrable Lieb-Liniger model. We exactly calculate the dynamical correlation functions by computing the form factors through a newly developed method, by which we are capable of calculating all possible 'relative excitations' over the ground state or a finite temperature state to high precision.
View Article and Find Full Text PDFACS Omega
August 2025
Department of Chemistry, Dr. Babasaheb Ambedkar Marathwada University, Chhatrapati Sambhajinagar, Maharashtra 431004, India.
An economic and environment-sustainable room-temperature-assisted [La-(OCOCF)·HO@SiO] green Lewis acid catalyst promoted highly efficient and rapid synthesis of 5-aryl-1,2,4-triazolidine-3-thiones was achieved via the straightforward reaction of thiosemicarbazide and aromatic aldehydes in universal green solvent water. A broad substrate scope, rapid reaction at RT, excellent product yield, mild reaction medium, easy recovery and reusability of catalyst with consistent and efficient performance for more than four consecutive cycles are the prominent features of the current green synthetic approach. This water-compatible green Lewis acid catalyst was introduced for the first time in this environment-friendly greener protocol, which has been validated using established green chemistry metrics.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Physics, Faculty of Science, Assiut University, Assiut 71516, Egypt.
In close proximity to quantum emitters (QEs), plasmonic nanoparticles (NPs) facilitate energy exchange with the QEs, which is known as plasmon-exciton coupling. The strong coupling regime, associated with Rabi splitting, is crucial for advanced nanophotonic devices, including solar cells, single-photon nonlinear optics, and nanolasers. Recently, high refractive index semiconductor NPs (typically Si NPs) have emerged for designing strongly coupled systems.
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