286 citations · 534 across the 36 of their papers we have counts for
6 papers · 1 filter
QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa +2
In the present noisy intermediate scale quantum computing era, there is a critical need to devise methods for the efficient implementation of gate-based variational quantum circuit…
A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization
Filip B. Maciejewski, Bao Gia Bach, Maxime Dupont +5
Quantum approximate optimization is one of the promising candidates for useful quantum computation, particularly in the context of finding approximate solutions to Quadratic Uncons…
Equivariant QAOA and the Duel of the Mixers
Boris Tsvelikhovskiy, Ilya Safro, Yuri Alexeev
Constructing an optimal mixer for Quantum Approximate Optimization Algorithm (QAOA) Hamiltonian is crucial for enhancing the performance of QAOA in solving combinatorial optimizati…
Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization
Ibrahim Cameron, Teague Tomesh, Zain Saleem +1
Quantum optimization as a field has largely been restricted by the constraints of current quantum computing hardware, as limitations on size, performance, and fidelity mean most no…
MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA
Bao Bach, Jose Falla, Ilya Safro
Learning the problem structure at multiple levels of coarseness to inform the decomposition-based hybrid quantum-classical combinatorial optimization solvers is a promising approac…
Graph Representation Learning for Parameter Transferability in Quantum Approximate Optimization Algorithm
Jose Falla, Quinn Langfitt, Yuri Alexeev +1
The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. O…