Quantum Computing for Automated Vehicle Trajectory Planning

Research output: ThesisBachelor's thesis

187 Downloads (Pure)


This work presents an algorithm for solving trajectory planning problem with quantum computing. Trajectory planning is an important problem in the field of automated vehicles, as it makes it possible for the vehicle to traverse in new environments without a preplanned route. It is a computationally expensive task, especially in dynamic environments with lots of moving objects, which is why using quantum computing for the problem is examined in this work. The presented algorithm is designed to scale for arbitrarily complex trajectory planning problems. The algorithm is implemented and tested with a quantum computing simulator and a quantum computer. However, due to limitations in currently available quantum hardware and the high computational cost of quantum computing simulation, the algorithm can only be tested with a simplified version of the problem. Simulation tests show promising results as the algorithm can solve the simplified problem as designed in varying test cases. Tests with a quantum computer show that major improvements in quantum hardware are needed to be able to use the algorithm for real-world applications.
Original languageEnglish
QualificationBachelor Degree
Awarding Institution
  • Tampere University
  • Riihonen, Taneli, Supervisor, External person
Publication statusPublished - 19 Jan 2023
MoE publication typeG1 Polytechnic thesis, Bachelor's thesis


  • trajectory planning
  • quantum computing
  • automated vehicles


Dive into the research topics of 'Quantum Computing for Automated Vehicle Trajectory Planning'. Together they form a unique fingerprint.

Cite this