Roman V. Krems

According to our database, Roman V. Krems authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

Molecular representations of quantum circuits for quantum machine learning.

Elham Torabian, Roman V. Krems

Mach. Learn. Sci. Technol., 2026

2024

Efficient interpolation of molecular properties across chemical compound space with low-dimensional descriptors.

Yun-Wen Mao, Roman V. Krems

Mach. Learn. Sci. Technol., 2024

Benchmarking of quantum fidelity kernels for Gaussian process regression.

Xuyang Guo, Jun Dai, Roman V. Krems

Mach. Learn. Sci. Technol., 2024

2023

Neural network Gaussian processes as efficient models of potential energy surfaces for polyatomic molecules.

Jun Dai, Roman V. Krems

Mach. Learn. Sci. Technol., December, 2023

2022

Gradient domain machine learning with composite kernels: improving the accuracy of PES and force fields for large molecules.

Kasra Asnaashari, Roman V. Krems

Mach. Learn. Sci. Technol., 2022

Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines.

Jonas Jäger, Roman V. Krems

CoRR, 2022

Optimal quantum kernels for small data classification.

Elham Torabian, Roman V. Krems

CoRR, 2022