Results 51 to 60 of about 74,156 (167)

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

Similarity-based parameter transferability in the quantum approximate optimization algorithm

Frontiers in Quantum Science and Technology, 2023
The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization.
Alexey Galda, Alexey Galda, Eesh Gupta, Eesh Gupta, Jose Falla, Jose Falla, Xiaoyuan Liu, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro   +10 more
doaj   +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

Approximate Solutions of Combinatorial Problems via Quantum Relaxations

IEEE Transactions on Quantum Engineering
Combinatorial problems are formulated to find optimal designs within a fixed set of constraints and are commonly found across diverse engineering and scientific domains.
Bryce Fuller, Charles Hadfield, Jennifer R. Glick, Takashi Imamichi, Toshinari Itoko, J. Richard Thompson, Yang Jiao, M. Marna Kagele, W. Blom-Schieber Adriana, Rudy Raymond, Antonio Mezzacapo   +10 more
doaj   +1 more source

Quantum optimization algorithm based on multistep quantum computation

New Journal of Physics
We present a quantum algorithm for finding the minimum of a function based on multistep quantum computation, and apply the algorithm for solving optimization problems with continuous variables.
Hefeng Wang, Hua Xiang
doaj   +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

Integrated error-suppressed pipeline for quantum optimization of nontrivial binary combinatorial optimization problems on gate-model hardware at the 156-qubit scale

New Journal of Physics
We introduce a novel hybrid quantum–classical variational optimization method for unconstrained binary combinatorial optimization problems on gate-model quantum computers, integrating a custom variational ansatz, staged feedback-based dual variational ...
Natasha Sachdeva, Gavin S Hartnett, Smarak Maity, Samuel Marsh, Yulun Wang, Adam Winick, Ryan Dougherty, Daniel Canuto, You Quan Chong, G Adam Cox, Michael Hush, Pranav S Mundada, Christopher D B Bentley, Michael J Biercuk, Yuval Baum   +14 more
doaj   +1 more source

Convergence of digitized-counterdiabatic QAOA: circuit depth versus free parameters

New Journal of Physics
Recently, digitized-counterdiabatic (CD) quantum approximate optimization algorithm (QAOA) has been proposed to make QAOA converge to the solution of an optimization problem in fewer steps, inspired by Trotterized CD driving in continuous-time quantum ...
Mara Vizzuso, Gianluca Passarelli, Giovanni Cantele, Procolo Lucignano   +3 more
doaj   +1 more source

Osmotic-Driven Resilient Critical-Environment Awareness (ORCA): A 6G System Using Quantum Optimization for Underwater Survivability

IEEE Access
Monitoring critical underwater infrastructure, essential for planetary safety and industrial integrity, presents significant challenges in latency, reliability, and scalability.
Shahrzad Sedaghat
doaj   +1 more source

Quantum optimization for training quantum neural networks

Quantum Machine Intelligence
AbstractTraining quantum neural networks (QNNs) using gradient-based or gradient-free classical optimization approaches is severely impacted by the presence of barren plateaus in the cost landscapes. In this paper, we devise a framework for leveraging quantum optimization algorithms to find optimal parameters of QNNs for certain tasks.
Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie   +2 more
openaire   +2 more sources