4 papers · 1 filter
Quantum reinforcement learning in dynamic environments
Oliver Sefrin, Manuel Radons, Lars Simon +1
Combining quantum computing techniques in the form of amplitude amplification with classical reinforcement learning has led to the so-called "hybrid agent for quantum-accessible re…
Introducing the Kernel Descent Optimizer for Variational Quantum Algorithms
Lars Simon, Holger Eble, Manuel Radons
In recent years, variational quantum algorithms have garnered significant attention as a candidate approach for near-term quantum advantage using noisy intermediate-scale quantum (…
Denoising Gradient Descent in Variational Quantum Algorithms
Lars Simon, Holger Eble, Hagen-Henrik Kowalski +1
In this article we introduce an algorithm for mitigating the adverse effects of noise on gradient descent in variational quantum algorithms. This is accomplished by computing a {\e…
Interpolating Parametrized Quantum Circuits using Blackbox Queries
Lars Simon, Holger Eble, Hagen-Henrik Kowalski +1
This article focuses on developing classical surrogates for parametrized quantum circuits using interpolation via (trigonometric) polynomials. We develop two algorithms for the con…