29 citations · 41 across the 3 of their papers we have counts for
3 papers
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning
Christian Löwens, Inaam Ashraf, Alexander Gembus +3
This work presents solutions to the Traveling Salesperson Problem with precedence constraints (TSPPC) using Deep Reinforcement Learning (DRL) by adapting recent approaches that wor…
OpenQL : A Portable Quantum Programming Framework for Quantum Accelerators
N. Khammassi, I. Ashraf, J. v. Someren +6
With the potential of quantum algorithms to solve intractable classical problems, quantum computing is rapidly evolving and more algorithms are being developed and optimized. Expre…
cQASM v1.0: Towards a Common Quantum Assembly Language
N. Khammassi, G. G. Guerreschi, I. Ashraf +3
The quantum assembly language (QASM) is a popular intermediate representation used in many quantum compilation and simulation tools to describe quantum circuits. Currently, multipl…