Graph representation learning for parameter transferability in quantum approximate optimization algorithm
The quantum approximate optimization algorithm (QAOA) is one of the most promising
candidates for achieving quantum advantage through quantum-enhanced combinatorial …
candidates for achieving quantum advantage through quantum-enhanced combinatorial …
Hybrid quantum-classical multilevel approach for maximum cuts on graphs
Combinatorial optimization is one of the fields where near term quantum devices are being
utilized with hybrid quantum-classical algorithms to demonstrate potentially practical …
utilized with hybrid quantum-classical algorithms to demonstrate potentially practical …
DAPO-QAOA: An algorithm for solving combinatorial optimization problems by dynamically constructing phase operators
Y Wang, ZY Li, L Wan - arxiv preprint arxiv:2502.04100, 2025 - arxiv.org
The Quantum Approximate Optimization Algorithm (QAOA) is a well-known hybrid quantum-
classical algorithm for combinatorial optimization problems. Improving QAOA involves …
classical algorithm for combinatorial optimization problems. Improving QAOA involves …
Arbitrary State Preparation via Quantum Walks
Continuous-time quantum walks (CTQWs) on dynamic graphs, referred to as dynamic
CTQWs, are a recently introduced universal model of computation that offers a new …
CTQWs, are a recently introduced universal model of computation that offers a new …
Promise of Graph Sparsification and Decomposition for Noise Reduction in QAOA: Analysis for Trapped-Ion Compilations
We develop new approximate compilation schemes that significantly reduce the expense of
compiling the Quantum Approximate Optimization Algorithm (QAOA) for solving the Max-Cut …
compiling the Quantum Approximate Optimization Algorithm (QAOA) for solving the Max-Cut …
Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs
Combinatorial optimization is one of the fields where near term quantum devices are being
utilized with hybrid quantum-classical algorithms to demonstrate potentially practical …
utilized with hybrid quantum-classical algorithms to demonstrate potentially practical …
Phantom Edges in the Problem Hamiltonian: A Method for Increasing Performance and Graph Visibility for QAOA
The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum
algorithm designed to solve combinatorial optimization problems. However, a key limitation …
algorithm designed to solve combinatorial optimization problems. However, a key limitation …
Analysis of Precision Vectors for Ising-Based Linear Regression
Quantum computing has been much attention as one of the new computational principles. In
particular, annealing machines that use the Ising model of statistical mechanics are …
particular, annealing machines that use the Ising model of statistical mechanics are …
Analysis of Precision Vectors for Ising-Based Linear Regression
H Kobayashi - … , PDCAT 2022, Sendai, Japan, December 7–9 …, 2023 - books.google.com
Quantum computing has been much attention as one of the new computational principles. In
particular, annealing machines that use the Ising model of statistical mechanics are …
particular, annealing machines that use the Ising model of statistical mechanics are …