Results 81 to 90 of about 322,484 (286)
Advanced Engineering Materials, EarlyView.Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
Minimal constraints in the parity formulation of optimization problems
New Journal of Physics, 2021 As a means to solve optimization problems using quantum computers, the problem is typically recast into an Ising spin model whose ground-state is the solution of the optimization problem.
Martin Lanthaler, Wolfgang Lechner
doaj +1 more source
An Adaptive Quantum-inspired Differential Evolution Algorithm for 0-1 Knapsack Problem
, 2010 Differential evolution (DE) is a population based evolutionary algorithm widely used for solving multidimensional global optimization problems over continuous spaces. However, the design of its operators makes it unsuitable for many real-life constrained
Hota, Ashish Ranjan, Pat, Ankit
core +1 more source
Advanced Engineering Materials, EarlyView.Phase‐changing liquids enable untethered pneumatic actuation in soft robotics but suffer from volatility and storage challenges. This work reports a simple method to encapsulate Novec 7000 within micron‐thin alginate shells via in situ injection and ionic crosslinking.
Rayan A. M. Basodan +3 more
wiley +1 more source
Modeling and Performance Evaluation of Hybrid Classical–Quantum Serverless Computing Platforms
IEEE Transactions on Quantum EngineeringWhile quantum computing technologies are evolving toward achieving full maturity, hybrid algorithms, such as variational quantum computing, are already emerging as valid candidates to solve practical problems in fields, such as chemistry and operations ...
Claudio Cicconetti
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Optimal quantum channels [PDF]
Physical Review A, 2021 A method to optimize the cost of a quantum channel is developed. The goal is to determine the cheapest channel that produces prescribed output states for a given set of input states. This is essentially a quantum version of optimal transport. To attach a clear conceptual meaning to the cost, channels are viewed in terms of what we call elementary ...
openaire +3 more sources
Advanced Functional Materials, EarlyView.In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
A Hybrid Round-Robin Scheduler for GPU Batch Rendering in Constrained Cloud Environments
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Creating high-quality 2D and 3D assets is essential for digital content, but inefficient scheduling and inaccurate time estimates often hamper the rendering process. Traditional methods, which assume rendering time is directly proportional to frame count,
Ibnu Hadi Purwanto +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A buried‐junction DSPEC design is introduced that leverages cascade charge transfer to enhance efficiency, stability, and versatility. This approach facilitates effective charge transfer and minimizes recombination losses, leading to significant improvements.
Jun‐Hyeok Park +8 more
wiley +1 more source
Quantum Approximate Optimization With Parallelizable Gates
IEEE Transactions on Quantum Engineering, 2020 The quantum approximate optimization algorithm (QAOA) has been introduced as a heuristic digital quantum computing scheme to find approximate solutions of combinatorial optimization problems. We present a scheme to parallelize this approach for arbitrary
Wolfgang Lechner
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