7 papers
Scalable Circuit Cutting: A Framework for Combined Gate and Wire Cuts Using Gate Groups
Fiona Jiali Fröhler, Yannick Stade, Christian Ufrecht +2
Quantum circuit cutting enables the execution of large circuits on devices with a limited number of qubits by partitioning circuits into independent subcircuits. However, this intr…
Optimized Circuit Cutting for QAOA Sampling Tasks
Friedrich Wagner, Christian Ufrecht, Martin Braun +1
Circuit cutting was originally designed to retrieve the expectation value of an observable with respect to a large quantum circuit by executing smaller circuit fragments. In this w…
Benchmarking Quantum Reinforcement Learning
Nico Meyer, Christian Ufrecht, George Yammine +3
Benchmarking and establishing proper statistical validation metrics for reinforcement learning (RL) remain ongoing challenges, where no consensus has been established yet. The emer…
BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications
Florian Geissler, Eric Stopfer, Christian Ufrecht +19
We present BenchQC, a research project funded by the state of Bavaria, which promotes an application-centric perspective for benchmarking real-world quantum applications. Diverse u…
Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
Alexander Mattick, Maniraman Periyasamy, Christian Ufrecht +4
Quantum computing is currently strongly limited by the impact of noise, in particular introduced by the application of two-qubit gates. For this reason, reducing the number of two-…
Benchmarking Quantum Reinforcement Learning
Georg Kruse, Rodrigo Coelho, Andreas Rosskopf +2
Quantum Reinforcement Learning (QRL) has emerged as a promising research field, leveraging the principles of quantum mechanics to enhance the performance of reinforcement learning…