8 papers · 2 filters
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…
CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting
Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer +1
Whether QML can offer a transformative advantage remains an open question. The severe constraints of NISQ hardware, particularly in circuit depth and connectivity, hinder both the…
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
Maniraman Periyasamy, Axel Plinge, Christopher Mutschler +2
The study of variational quantum algorithms (VQCs) has received significant attention from the quantum computing community in recent years. These hybrid algorithms, utilizing both…
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…
Quantum Wasserstein Compilation: Unitary Compilation using the Quantum Earth Mover's Distance
Marvin Richter, Abhishek Y. Dubey, Axel Plinge +3
Despite advances in the development of quantum computers, the practical application of quantum algorithms requiring deep circuit depths or high-fidelity transformations remains out…
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…