Streif, Michael

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Broughton, M., Verdon, G., McCourt, T., Martinez, A. J., Yoo, J. H., Isakov, S. V., Massey, P., Halavati, R., Niu, M. Y., Zlokapa, A., et al. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 308

Training the quantum approximate optimization algorithm without access to a quantum processing unit

Streif, M., & Leib, M. (2020) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 125

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

Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm

Streif, M., Yarkoni, S., Skolik, A., Neukart, F., & Leib, M. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 41

Comparison of QAOA with Quantum and Simulated Annealing

Streif, M., & Leib, M. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 35