Results 101 to 110 of about 1,190 (203)

16-channel photonic solver for optimization problems on a silicon chip

Chip
A programmable photonic solver for quadratic unconstrained binary optimization (QUBO) problems is demonstrated with a hybrid optoelectronic scheme, which consists of a photonic chip and an electronic driving board.
Jiayi Ouyang, Shengping Liu, Ziyue Yang, Wei Wang, Xue Feng, Yongzhuo Li, Yidong Huang   +6 more
doaj   +1 more source

QUBO formulations for a system of linear equations

Results in Control and Optimization
With the advent of quantum computers, many quantum computing algorithms are being developed. Solving linear systems is one of the most fundamental problems in modern science and engineering.
Kyungtaek Jun
doaj   +1 more source

Investigating the Relation Between Problem Hardness and QUBO Properties [PDF]

Thore Gerlach, Sascha Mücke
openalex   +1 more source

Leveraging Non-Exact QUBO Formulation With Quantum Annealing to Optimize 5G Base Station Power Selection

IEEE Access
As global energy demand continues to rise, efficient energy management is essential to support the growing integration of renewable energy in the energy mix while controlling operational costs.
Chihiro Dogo, Kazuhiro Saito, Masashi Tawada, Nozomu Togawa   +3 more
doaj   +1 more source

Diversifying Investments and Maximizing Sharpe Ratio: A Novel Quadratic Unconstrained Binary Optimization Formulation

Quantum Reports
The optimization of investment portfolios represents a pivotal task within the field of financial economics. Its objective is to identify asset combinations that meet specified criteria for return and risk.
Mirko Mattesi, Luca Asproni, Christian Mattia, Simone Tufano, Giacomo Ranieri, Davide Caputo, Davide Corbelletto   +6 more
doaj   +1 more source

Efficient Exploration of Phenol Derivatives Using QUBO Solvers with Group Contribution-Based Approaches [PDF]

Chien‐Hung Cho, Jheng-Wei Su, Lien-Po Yu, Ching‐Ray Chang, Pin‐Hong Chen, Tzu-Wei Lin, Shin-Hong Liu, Tsung-Hui Li, Y. P. Lee   +8 more
openalex   +1 more source

Reducing QUBO Density by Factoring out Semi-Symmetries

Proceedings of the 17th International Conference on Agents and Artificial Intelligence
Quantum Approximate Optimization Algorithm (QAOA) and Quantum Annealing are prominent approaches for solving combinatorial optimization problems, such as those formulated as Quadratic Unconstrained Binary Optimization (QUBO). These algorithms aim to minimize the objective function $x^T Q x$, where $Q$ is a QUBO matrix.
Nüßlein, Jonas, Sünkel, Leo, Stein, Jonas, Rohe, Tobias, Schuman, Daniëlle, Feld, Sebastian, O'Meara, Corey, Cortiana, Giorgio, Linnhoff-Popien, Claudia   +8 more
openaire   +2 more sources

Quantum-Classical Synergy: Enhancing De Novo Genome Assembly with Hybridized QUBO Optimization [PDF]

Anshit Mukherjee, Biswadip Basu Mallik
openalex   +1 more source

Aircraft Loading Optimization -- QUBO models under multiple constraints [PDF]

, 2021
Giovanni Pilon, Nicola Gugole, Nicola Massarenti   +2 more
openalex   +1 more source

Optimizing What We Trust: Reliability-Guided QUBO Selection of Multi-Agent Weak Framing Signals for Arabic Sentiment Prediction

Alkhalifa, Rabab
openalex   +3 more sources