From the 1 of 44 linked papers with an AI index.
12 papers · 1 filter
Reducing QUBO Density by Factoring Out Semi-Symmetries
Jonas NüÃlein, Leo Sünkel, Jonas Stein +6
Quantum Approximate Optimization Algorithm (QAOA) and Quantum Annealing are prominent approaches for solving combinatorial optimization problems, such as those formulated as Quadra…
CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA
Jonas Stein, Jonas Blenninger, David Bucher +4
The Quantum Approximate Optimization Algorithm (QAOA) is a prominent quantum algorithm designed to find approximate solutions to combinatorial optimization problems, which are chal…
Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data
Tobias Rohe, Barbara Böhm, Michael Kölle +3
Drones have revolutionized various domains, including agriculture. Recent advances in deep learning have propelled among other things object detection in computer vision. This stud…
Optimizing Sensor Redundancy in Sequential Decision-Making Problems
Jonas NüÃlein, Maximilian Zorn, Fabian Ritz +5
Reinforcement Learning (RL) policies are designed to predict actions based on current observations to maximize cumulative future rewards. In real-world applications (i.e., non-simu…
Reducing QAOA Circuit Depth by Factoring out Semi-Symmetries
Jonas NüÃlein, Leo Sünkel, Jonas Stein +4
QAOA is a quantum algorithm for solving combinatorial optimization problems. It is capable of searching for the minimizing solution vector of a QUBO problem . The number…
Exponential Quantum Speedup for Simulation-Based Optimization Applications
Jonas Stein, Lukas Müller, Leonhard Hölscher +10
The simulation of many industrially relevant physical processes can be executed up to exponentially faster using quantum algorithms. However, this speedup can only be leveraged if…