Optimization-free Recursive QAOA solves the Binary Paint Shop Problem near-optimally with reduced quantum resources and robustness to parameter choice compared to standard QAOA.
Algorithms for quantum computation: discrete logarithms and factoring
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Encoding strategies for quantum fluid simulations trade off compactness against practicality in state preparation, measurement, boundary conditions, and nonlinear operations, with no single approach being universally optimal.
citing papers explorer
-
Optimisation-Free Recursive QAOA for the Binary Paint Shop Problem
Optimization-free Recursive QAOA solves the Binary Paint Shop Problem near-optimally with reduced quantum resources and robustness to parameter choice compared to standard QAOA.
-
Encoding strategies for quantum enhanced fluid simulations: opportunities and challenges
Encoding strategies for quantum fluid simulations trade off compactness against practicality in state preparation, measurement, boundary conditions, and nonlinear operations, with no single approach being universally optimal.