Quantum annealing for industry applications: Introduction and review
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …
solve combinatorial optimization problems. In recent years, advances in quantum …
Encoding-independent optimization problem formulation for quantum computing
F Dominguez, J Unger, M Traube, B Mant… - Frontiers in Quantum …, 2023 - frontiersin.org
We review encoding and hardware-independent formulations of optimization problems for
quantum computing. Using this generalized approach, an extensive library of optimization …
quantum computing. Using this generalized approach, an extensive library of optimization …
Quantum approximate optimization algorithm for qudit systems
A frequent starting point of quantum computation platforms is the two-state quantum system,
ie, the qubit. However, in the context of integer optimization problems, relevant to scheduling …
ie, the qubit. However, in the context of integer optimization problems, relevant to scheduling …
Understanding domain-wall encoding theoretically and experimentally
J Berwald, N Chancellor… - … Transactions of the …, 2023 - royalsocietypublishing.org
We analyse the method of encoding pairwise interactions of higher-than-binary discrete
variables (these models are sometimes referred to as discrete quadratic models) into binary …
variables (these models are sometimes referred to as discrete quadratic models) into binary …
Novel real number representations in ising machines and performance evaluation: Combinatorial random number sum and constant division
Quantum annealing machines are next-generation computers for solving combinatorial
optimization problems. Although physical simulations are one of the most promising …
optimization problems. Although physical simulations are one of the most promising …
NP-hard but no longer hard to solve? Using quantum computing to tackle optimization problems
R Au-Yeung, N Chancellor… - Frontiers in Quantum …, 2023 - frontiersin.org
In the last decade, public and industrial research funding has moved quantum computing
from the early promises of Shor's algorithm through experiments to the era of noisy …
from the early promises of Shor's algorithm through experiments to the era of noisy …
Quantum computer-assisted global optimization in geophysics illustrated with stack-power maximization for refraction residual statics estimation
Much of recent progress in geophysics can be attributed to the adaptation of heterogeneous
high-performance computing architectures. It is projected that the next major leap in many …
high-performance computing architectures. It is projected that the next major leap in many …
Comparing QUBO models for quantum annealing: integer encodings for permutation problems
P Codognet - International Transactions in Operational …, 2025 - Wiley Online Library
QUBO (quadratic unconstrained binary optimization) has become the modeling language for
quantum annealing and quantum‐inspired annealing solvers. We present different …
quantum annealing and quantum‐inspired annealing solvers. We present different …
Domain-wall/unary encoding in QUBO for permutation problems
P Codognet - 2022 IEEE International Conference on Quantum …, 2022 - ieeexplore.ieee.org
QUBO is the input language of quantum computers based on quantum annealing such as
the D-Wave systems and of the" quantum-inspired" dedicated hardware such as Fujitsu's …
the D-Wave systems and of the" quantum-inspired" dedicated hardware such as Fujitsu's …
Quantum molecular unfolding
Molecular docking is an important step of the drug discovery process which aims at
calculating the preferred position and shape of one molecule to a second when they are …
calculating the preferred position and shape of one molecule to a second when they are …