Results 121 to 130 of about 41,319 (304)
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Enhancing variational quantum state diagonalization using reinforcement learning techniques
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 +6 more
doaj +1 more source
Developing quantum algorithms with genetic programming
Cilj ovog rada je ispitati mogućnost primjene automatskog genetskog programiranja za razvoj kvantnih algoritama. U radu je objašnjena paradigma kvantnog računanja i opisana su dva postojeća kvantna algoritma (Deutsch-Jozsa algoritam i Simonov algoritam).
Katić, Maria
core
Near‐Unity Chiral Lasing Enabled by Quasi‐Bound States in the Continuum
Nanoimprinted chiral array that supports bound states in the continuum is doped with an efficient non‐chiral molecule (Rhodamine‐B) acting as gain medium to produce fully circularly polarized lasing emission. The chiral lasing wavelength can be tuned across the emission band of Rhodamine‐B by adjusting the coating thickness of the TiO2 high refractive ...
Jose Mendoza‐Carreño +5 more
wiley +1 more source
Space‐Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping
Space‐time coding conformal metasurfaces enable dynamic wave control on curved surfaces by combining programmable spatial patterns with temporal modulation. This study shows that a single conformal aperture can independently manipulate multiple frequency components, achieving multifunctional beam shaping and steering, with implications for ...
Filippo Pepe +8 more
wiley +1 more source
Feedback-based quantum algorithms for ground state preparation
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 +3 more
doaj +1 more source
AN IMPROVED QUANTUM SCHEDULING ALGORITHM [PDF]
The scheduling problem consists of finding a common 1 in two remotely located N bit strings. Denote the number of 1s in the string with the fewer 1s by ∊N. Classically, it needs Ω(∊N log 2 N) bits of communication to find the common 1. The best known quantum algorithms require about [Formula: see text] qubits of communication.
openaire +2 more sources
Quantum Algorithms from Topological Quantum Field Theories
Topological Quantum Field Theories (or TQFTs) are abstract constructions from category theory and mathematical physics. Their conception was originally motivated by the search for a physical theory that unifies general relativity and quantum mechanics ...
Alagic, Gorjan
core
Simulation of Quantum Algorithms [PDF]
In this TFG I am going to discuss the basics of quantum algorithms. I will focus on two of the most important ones: the Grover and the Shor algorithms. I will start by giving a brief introduction to quantum physics with the purpose of describing the main
García Matey, Guillermo
core
A multifunctional bioactive PEEK‐based implant (Mn@p/MBG‐SPEEK) is engineered to combat implant‐associated infections while promoting osteogenesis. The hybrid surface activates PI3K/Akt/mTOR and AP‐1 signaling pathways for osteogenic differentiation, while Mn coordination induces electronic coupling that narrows the HOMO‐LUMO energy gap and enhances ...
Zhiyan Xu +7 more
wiley +1 more source

