Perturbation theory, used in a wide range of fields, is a powerful tool for approximate solutions to complex problems, starting from the exact solution of a related, simpler problem. Advances in quantum computing, especially over the past several years, provide opportunities for alternatives to classical methods. Here, we present a general quantum circuit estimating both the energy and eigenstates corrections that is far superior to the classical version when estimating second-order energy corrections. We demonstrate our approach as applied to the two-site extended Hubbard model. In addition to numerical simulations based on qiskit, results on IBM's quantum hardware are also presented. Our work offers a general approach to studying complex systems with quantum devices, with no training or optimization process needed to obtain the perturbative terms, which can be generalized to other Hamiltonian systems both in chemistry and physics.
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http://dx.doi.org/10.1126/sciadv.adg4576 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Department of Organic and Inorganic Chemistry, University of Basque Country UPV/EHU, 48940 Leioa, Greater Bilbao, Basque Country, Spain.
Magnetic nanoparticles (NPs) are gaining significant interest in the field of biomedical functional nanomaterials because of their distinctive chemical and physical characteristics, particularly in drug delivery and magnetic hyperthermia applications. In this paper, we experimentally synthesized and characterized new FeO-based NPs, functionalizing its surface with a 5-TAMRA cadaverine modified copolymer consisting of PMAO and PEG. Despite these advancements, many combinations of NP cores and coatings remain unexplored.
View Article and Find Full Text PDFNeuroimage
January 2025
College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, 030024, China. Electronic address:
The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions. An in-depth exploration of brain state transitions is crucial for revealing functional changes in both health and pathological states and realizing precise brain function intervention. Network control theory offers a novel framework for investigating the dynamic characteristics of brain state transitions.
View Article and Find Full Text PDFBehav Res Ther
January 2025
Utrecht University, Department of Clinical Psychology, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands.
Despite various efforts in the field, no consistent predictors of treatment outcome in anxiety disorders have been identified. Based on the Dynamic System Theory, this study proposes a novel, dynamic predictor of treatment outcome in those with public speaking anxiety. It was assessed whether speed of return to one's interpretation bias equilibrium after an experimentally-induced perturbation (i.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, 710049, China. Electronic address:
Graph Neural Networks (GNNs) have received extensive research attention due to their powerful information aggregation capabilities. Despite the success of GNNs, most of them suffer from the popularity bias issue in a graph caused by a small number of popular categories. Additionally, real graph datasets always contain incorrect node labels, which hinders GNNs from learning effective node representations.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Department of Physical Chemistry, University of Basque Country UPV/EHU, 48940 Leioa, Spain.
Determining the values of various properties for new bio-inks for 3D printing is a very important task in the design of new materials. For this purpose, a large number of experimental works have been consulted, and a database with more than 1200 bioprinting tests has been created. These tests cover different combinations of conditions in terms of print pressure, temperature, and needle values, for example.
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