Results 71 to 80 of about 327,655 (287)

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, Dhani Ariatmanto, M. Shahkhir Mozamir, Afifah Nur Aini   +3 more
doaj   +1 more source

Efficient Quantum Algorithms for Quantum Optimal Control

CoRR, 2023
In this paper, we present efficient quantum algorithms that are exponentially faster than classical algorithms for solving the quantum optimal control problem. This problem involves finding the control variable that maximizes a physical quantity at time $T$, where the system is governed by a time-dependent Schrödinger equation.
Xiantao Li, Chunhao Wang
openaire   +3 more sources

Dielectric Barrier Discharge Plasma Deoxidation of Natively Oxide Layer of Copper Powders in a Fluidized Bed

Advanced Engineering Materials, EarlyView.
This paper presents a novel approach to reducing oxide layers on metal powders using low‐temperature hydrogen dielectric barrier discharge plasmas at atmospheric pressure. Unlike conventional hydrogen‐plasma reductions, the powders do not contact the plasma directly.
Shukang Zhang, Annett Wollmann, Thomas Gimpel, Alfred P. Weber   +3 more
wiley   +1 more source

Modeling and Performance Evaluation of Hybrid Classical–Quantum Serverless Computing Platforms

IEEE Transactions on Quantum Engineering
While 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
doaj   +1 more source

Bayesian Optimization for QAOA

IEEE Transactions on Quantum Engineering, 2023
The quantum approximate optimization algorithm (QAOA) adopts a hybrid quantum-classical approach to find approximate solutions to variational optimization problems.
Simone Tibaldi, Davide Vodola, Edoardo Tignone, Elisa Ercolessi   +3 more
doaj   +1 more source

Deterministic Detection of Single Ion Implantation

Advanced Engineering Materials, EarlyView.
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead, Lok Kan Wan, Maddison Coke, Janet Jacobs, Nicholas F. L. Collins, Mark C. Rosamond, Richard J. Curry   +6 more
wiley   +1 more source

Multiblock ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers

IEEE Transactions on Quantum Engineering, 2020
Solving combinatorial optimization problems on current noisy quantum devices is currently being advocated for (and restricted to) binary polynomial optimization with equality constraints via quantum heuristic approaches.
Claudio Gambella, Andrea Simonetto
doaj   +1 more source

Achieving robust and high-fidelity quantum control via spectral phase optimization

, 2017
Achieving high-fidelity control of quantum systems is of fundamental importance in physics, chemistry and quantum information sciences. However, the successful implementation of a high-fidelity quantum control scheme also requires robustness against ...
Dong, Daoyi, Guo, Yu, Shu, Chuan-Cun
core   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement

IEEE Transactions on Quantum Engineering, 2021
In this article, we extend variational quantum optimization algorithms for quadratic unconstrained binary optimization problems to the class of mixed binary optimization problems.
Lee Braine, Daniel J. Egger, Jennifer Glick, Stefan Woerner   +3 more
doaj   +1 more source