Presents a continuous-time quantum walk over a product space for CVRP that cuts gate complexity to O(n² log n) and shows faster convergence in simulations up to 8 customers.
Quantum walk informed variational algorithm design.arXiv preprint arXiv:2406.11620, 2024
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
quant-ph 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
QESTO is a distributed variational ansatz using persistent Bell pairs for amplitude transfer in graph-based discrete optimization, showing stronger convergence than partitioned QAOA on Wang tile ensembles.
For small peptides the contact-energy cost Hamiltonian shows insufficient average correlation with RMSD error; correlation improves for larger instances and more interaction shells according to Monte-Carlo estimates.
citing papers explorer
-
Quantum walk-based optimisation for capacitated vehicle routing with homogeneous and heterogeneous fleets
Presents a continuous-time quantum walk over a product space for CVRP that cuts gate complexity to O(n² log n) and shows faster convergence in simulations up to 8 customers.
-
Distributed Variational Quantum Optimisation by Entanglement-Selective Transport
QESTO is a distributed variational ansatz using persistent Bell pairs for amplitude transfer in graph-based discrete optimization, showing stronger convergence than partitioned QAOA on Wang tile ensembles.
-
Assessing Cost Hamiltonian Reliability in Quantum Protein Structure Prediction
For small peptides the contact-energy cost Hamiltonian shows insufficient average correlation with RMSD error; correlation improves for larger instances and more interaction shells according to Monte-Carlo estimates.