Moll, Nikolaj

Quantum optimization using variational algorithms on near-term quantum devices

Moll, N., Barkoutsos, P., Bishop, L. S., Chow, J. M., Cross, A., Egger, D. J., Filipp, S., Fuhrer, A., Gambetta, J. M., Ganzhorn, M., et al. (2018) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 744

Quantum algorithms for electronic structure calculations: Particle-hole Hamiltonian and optimized wave-function expansions

Barkoutsos, P. K., Gonthier, J. F., Sokolov, I., Moll, N., Salis, G., Fuhrer, A., Ganzhorn, M., Egger, D. J., Troyer, M., Mezzacapo, A., et al. (2018) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 363

Entanglement Generation in Superconducting Qubits Using Holonomic Operations

Egger, D. J., Ganzhorn, M., Salis, G., Fuhrer, A., Müller, P., Barkoutsos, P. K., Moll, N., Tavernelli, I., & Filipp, S. (2019) · Physical Review Applied

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 91

Analysis of a parametrically driven exchange-type gate and a two-photon excitation gate between superconducting qubits

Roth, M., Ganzhorn, M., Moll, N., Filipp, S., Salis, G., & Schmidt, S. (2017) · Physical Review A

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 90

Towards the simulation of large scale protein–ligand interactions on NISQ-era quantum computers

Malone, F. D., Parrish, R. M., Welden, A. R., Fox, T., Degroote, M., Kyoseva, E., Moll, N., Santagati, R., & Streif, M. (2022) · Chemical Science

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 48