Results 131 to 140 of about 2,524,518 (253)

Enhancing variational quantum state diagonalization using reinforcement learning techniques

New Journal of Physics
The variational quantum algorithms are crucial for the application of NISQ computers. Such algorithms require short quantum circuits, which are more amenable to implementation on near-term hardware, and many such methods have been developed.
Akash Kundu, Przemysław Bedełek, Mateusz Ostaszewski, Onur Danaci, Yash J Patel, Vedran Dunjko, Jarosław A Miszczak   +6 more
doaj   +1 more source

Quantum Algorithms for the Physical Layer: Potential Applications to Physical Layer Security

IEEE Access
The field of quantum technologies has garnered considerable interest and witnessed noteworthy progress in recent years. It is also anticipated that these technologies will continue to flourish and exert a considerable influence on society, i.e., a ...
Toshiki Matsumine, Hideki Ochiai, Junji Shikata   +2 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Topological Spin‐Texture Transitions in van der Waals Magnets Revealed by X‐Ray Fourier Transform Holography

Advanced Materials, EarlyView.
Applied here for the first time to a 2D material, high‐resolution synchrotron x‐ray Fourier transform holography directly images topological spin textures in Fe3GeTe2. Combined with atomistic tight‐binding simulations including itinerant electrons and Rashba spin‐orbit coupling, the approach reveals labyrinth, skyrmion, and mixed phases, and uncovers ...
Sourav Chowdhury, Soumyaranjan Dash, Michael Schneider, Christopher Klose, Chithra H. Sharma, Lisa‐Marie Kern, Tim A. Butcher, Josefin Fuchs, Santanu Pakhira, Samik DuttaGupta, Takashi Taniguchi, Kenji Watanabe, Sujit Das, Sanjeev Kumar, Bastian Pfau, Amir‐Abbas Haghighirad, Moritz Hoesch   +16 more
wiley   +1 more source

Feedback-based quantum algorithms for ground state preparation

Physical Review Research
The ground state properties of quantum many-body systems are a subject of interest across chemistry, materials science, and physics. Thus, algorithms for finding ground states can have broad impacts. Variational quantum algorithms are one class of ground
James B. Larsen, Matthew D. Grace, Andrew D. Baczewski, Alicia B. Magann   +3 more
doaj   +1 more source

Framework Flexibility on Water Sorption and Transport in ZIF‐90: Insights from Neural‐Network Molecular Dynamics

Advanced Materials Interfaces, EarlyView.
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus, Ionut Tranca, Veerapandian Ponnuchamy, Silvia Gaastra‐Nedea   +3 more
wiley   +1 more source

Quantum algorithms for optimizers

CoRR
This is a set of lecture notes for a graduate-level course on quantum algorithms, with an emphasis on quantum optimization algorithms. It is developed for applied mathematicians and engineers, and requires no previous background in quantum mechanics. The main topics of this course, in addition to a rigorous introduction to the computational model, are:
openaire   +2 more sources

Quantum Algorithms for Hopcroft's problem

ACM Transactions on Quantum Computing
In this work, we study quantum algorithms for Hopcroft’s problem which is a fundamental problem in computational geometry. Given n points and n lines in the plane, the task is to determine whether there is a point-line incidence.
Vladimirs Andrejevs, Aleksandrs Belovs, Jevgēnijs Vihrovs   +2 more
openaire   +6 more sources

Imide Substitution Drives the Supramolecular Assembly of Perylene Diimide Into Laterally Modulated Metallic/Semiconducting Molecular Patterns

Advanced Materials Interfaces, EarlyView.
Imide substitution with bulky 2,6‐isopropylphenyl groups induces perylene diimide to self‐assemble on Ag(111) into a monolayer with two coexisting adsorption heights. Molecules closer to the substrate gain metallic character due to charge transfer from the metal, while farther ones remain decoupled and semiconducting.
Giacomo Agnesod, Simone Pistillo, Davide Piva, Luca Schio, Daniele Toffoli, Davide Bidoggia, Maria Peressi, Alberto Morgante, Albano Cossaro, Luca Floreano, Giovanna Fronzoni, Martina Dell'Angela, Roberto Costantini   +12 more
wiley   +1 more source

Evolution of OLED Lamination Technology With Development of Display Form Factors

Advanced Materials Technologies, EarlyView.
This review evaluates the evolution of organic light‐emitting diode (OLED) lamination technologies alongside advancing display form factors. It contrasts optically clear adhesives and resins, highlighting uniformity control for rigid screens, bubble‐free optimization for bended architectures, and visible‐light curing for foldable layers.
Kwan‐Young Han, Ji‐Hoon Park
wiley   +1 more source