Results 31 to 40 of about 2,283 (206)
Node rank of graph M using QUBO results.
Node rank of graph M using QUBO results.
Tamsin E. James (13046831) +3 more
core +1 more source
The advent of quantum computing can potentially revolutionize how complex problems are solved. This article proposes a two-loop quantum-classical solution algorithm for generation scheduling by infusing quantum computing, machine learning, and ...
Reza Mahroo, Amin Kargarian
doaj +1 more source
Qubo model for the Closest Vector Problem
In this paper we consider the closest vector problem (CVP) for lattices $Λ\subseteq \mathbb{Z}^n$ given by a generator matrix $A\in \mathcal{M}_{n\times n}(\mathbb{Z})$. Let $b>0$ be the maximum of the absolute values of the entries of the matrix $A$.
Eduardo Canale +2 more
openaire +2 more sources
Data-driven, multi-objective QUBO-based optimization for multi-phase alloy design [PDF]
Here, we present two complementary approaches that advance quadratic unconstrained binary optimization (QUBO) toward practical use in data-driven materials design and other real-valued black-box optimization tasks.
Thomas Plehn +4 more
doaj +1 more source
QUBO Resolution of the Job Reassignment Problem
Accepted for publication in in 2023 IEEE Symposium Series on Computational Intelligence (SSCI)
Iñigo Pérez Delgado +3 more
openaire +3 more sources
QUBO transformation using Eigenvalue Decomposition
Quadratic Unconstrained Binary Optimization (QUBO) is a general-purpose modeling framework for combinatorial optimization problems and is a requirement for quantum annealers. This paper utilizes the eigenvalue decomposition of the underlying Q matrix to alter and improve the search process by extracting the information from dominant eigenvalues and ...
Amit Verma, Mark W. Lewis
openaire +2 more sources
Top 10 molecules with similarity to Remdesivir according to QUBO.
Top 10 molecules with similarity to Remdesivir according to QUBO.
Javier Diez Perez (13113689) +11 more
core +1 more source
A QUBO Formulation of the k-Medoids Problem
5463We are concerned with k-medoids clustering and propose aquadratic unconstrained binary optimization (QUBO) formulation of the problem of identifying k medoids among n data points without having to cluster the data.
Hecker, Dirk +4 more
core +1 more source
QUBO Simplification by Singular Value Decomposition and Coefficient Elimination for Ising Machines
Ising machines, including quantum annealing machines, can efficiently solve combinatorial optimization problems by formulating them as Quadratic Unconstrained Binary Optimization (QUBO). However, it is known that the solving performance of Ising machines
Shinnosuke Inaba +2 more
doaj +1 more source
A QUBO Formulation for Radio Base Station Deployment in Heterogeneous Networks
This paper proposes a Quadratic Unconstrained Binary Optimization (QUBO) formulation for the radio base station placement problem in heterogeneous 5G/6G networks.
Edson Jose Pacheco +1 more
doaj +1 more source

