Results 61 to 70 of about 116,832 (272)
Quantum adiabatic machine learning by zooming into a region of the energy surface [PDF]
, 2020 Recent work has shown that quantum annealing for machine learning, referred to as QAML, can perform comparably to state-of-the-art machine learning methods with a specific application to Higgs boson classification.
Job, Joshua +5 more
core
Advanced Functional Materials, EarlyView.Exploring the photocatalytic reverse water–gas shift (RWGS) reaction on doped SrTiO3 nanoparticle films, reveals that normalizing catalytic rates by the catalyst's specific surface area (SSA) disentangled surface area effects from the catalyst's intrinsic material properties.
Dikshita Bhattacharyya +6 more
wiley +1 more source
Enhancing quantum annealing in digital–analog quantum computing
APL QuantumDigital–analog quantum computing (DAQC) offers a promising approach to addressing the challenges of building a practical quantum computer. By efficiently allocating resources between digital and analog quantum circuits, DAQC paves the way for achieving ...
Tadashi Kadowaki
doaj +1 more source
Advanced Functional Materials, EarlyView.A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu +9 more
wiley +1 more source
Advanced Functional Materials, EarlyView.The combination of formamidinium thiocyanate and 1,3‐propane diammonium iodide for bulk and top‐surface passivation, and a ternary fullerene blend to improve energy band alignment, suppresses energy losses in wide‐bandgap FAPbBr3 perovskite solar cells.
Laura Bellini +9 more
wiley +1 more source
A Quantum Approach to Classical Statistical Mechanics [PDF]
, 2006 We present a new approach to study the thermodynamic properties of $d$-dimensional classical systems by reducing the problem to the computation of ground state properties of a $d$-dimensional quantum model.
A. Das +12 more
core +2 more sources
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Communications PhysicsAn important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficiently than quadratic unconstrained binary optimization, but how to quickly solve it has ...
Bi-Ying Wang +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.By tuning the pore size of mesoporous N‐doped carbon (MPNC) nanospheres as support material for molybdenum sulfide, the electrochemical activity of the composite material for the hydrogen evolution reaction can be optimized. An ideal MPNC pore size of 60 nm allows a high number of molybdenum sulfide active sites while maintaining efficient proton and ...
Niklas Ortlieb +3 more
wiley +1 more source
Quantum Topology Optimization via Quantum Annealing
IEEE Transactions on Quantum Engineering, 2023 We present a quantum annealing-based solution method for topology optimization (TO). In particular, we consider TO in a more general setting, i.e., applied to structures of continuum domains where designs are represented as distributed functions ...
Zisheng Ye, Xiaoping Qian, Wenxiao Pan
doaj +1 more source