41 citations · 73 across the 6 of their papers we have counts for
6 papers
Benchmarking Quantum Architecture Search with Surrogate Assistance
Darya Martyniuk, Johannes Jung, Daniel Barta +1
The development of quantum algorithms and their practical applications currently relies heavily on the efficient design, compilation, and optimization of quantum circuits. In parti…
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation
Daniel Barta, Darya Martyniuk, Johannes Jung +1
Quantum computing holds immense potential, yet its practical success depends on multiple factors, including advances in quantum circuit design. In this paper, we introduce a genera…
Quantum Architecture Search: A Survey
Darya Martyniuk, Johannes Jung, Adrian Paschke
Quantum computing has made significant progress in recent years, attracting immense interest not only in research laboratories but also in various industries. However, the applicat…
Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans
Leo Sünkel, Darya Martyniuk, Julia J. Reichwald +5
Practical quantum computing (QC) is still in its infancy and problems considered are usually fairly small, especially in quantum machine learning when compared to its classical cou…
GA4QCO: Genetic Algorithm for Quantum Circuit Optimization
Leo Sünkel, Darya Martyniuk, Denny Mattern +2
The design of quantum circuits is often still done manually, for instance by following certain patterns or rule of thumb. While this approach may work well for some problems, it ca…
Variational Quanvolutional Neural Networks with enhanced image encoding
Denny Mattern, Darya Martyniuk, Henri Willems +2
Image classification is an important task in various machine learning applications. In recent years, a number of classification methods based on quantum machine learning and differ…