Scaling Generative Quantum Machine Learning
- Christa Zoufal
- Stefan Woerner
- 2023
- APS March Meeting 2023
Bio
Dr. Stefan Woerner is a Principal Research Scientist and Manager of the Quantum Computational Science group of IBM Quantum at IBM Research Europe - Zurich. He received a Master of Science in Applied Mathematics from ETH Zurich in 2010, and a Doctor of Sciences in Operations Management from ETH Zurich in 2013 for his thesis on Convex Optimization in Supply Chain Management. The focus of his research is the development and analysis of quantum algorithms for optimization, simulation, and machine learning as well as their practical applications, particularly in finance.
Publications
Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
- Christa Zoufal
- Ryan Mishmash
- et al.
- 2023
- Quantum
Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware
- Johannes Weidenfeller
- Lucia Valor
- et al.
- 2022
- Quantum
Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware
- Johannes Weidenfeller
- Lucia Cuervo Valor
- et al.
- 2022
- arXiv
Effective dimension of machine learning models
- Amira Abbas
- David Sutter
- et al.
- 2021
- arXiv
Error Bounds for Variational Quantum Time Evolution
- Christa Zoufal
- David Sutter
- et al.
- 2021
- arXiv
Improved quasiprobabilistic quantum error mitigation
- Christophe Piveteau
- David Sutter
- et al.
- 2021
- APS March Meeting 2021
Warm-starting quantum optimization
- Daniel Egger
- Jakub Marecek
- et al.
- 2021
- APS March Meeting 2021
Enhancing the Quantum Linear Systems Algorithm using Richardson Extrapolation
- Almudena Carrera Vazquez
- Ralf Hiptmair
- et al.
- 2021
- APS March Meeting 2021
Quantum Legendre-Fenchel transform
- David Sutter
- Giacomo Nannicini
- et al.
- 2021
- APS March Meeting 2021
Patents
Iterative Quantum Amplitude Estimation
- 29 May 2023
- US
- 11663511
System And Method For Handling Inequality Constraints In Mixed Binary Optimization On Quantum Computers
- 15 May 2023
- US
- 11651264
Quantum Computing Algorithm For The Investigation Of The Molecular Excited States
- 21 Feb 2023
- JP
- 7232902
Hierarchical Portfolio Optimization Using Clustering And Near-term Quantum Computers
- 23 Jan 2023
- US
- 11562281
Branched Heteropolymer Lattice Model For Quantum Optimization
- 09 Jan 2023
- US
- 11551128
Quantum Circuit Risk Analysis
- 05 Dec 2022
- JP
- 7189966
Simulation-based Optimization On A Quantum Computer
- 07 Nov 2022
- US
- 11494532
Fault-tolerant T-gates Via Quasiprobability Decomposition
- 18 Apr 2022
- US
- 11308252
Solving Mixed Integer Optimization Problems On A Hybrid Classical-quantum Computing System
- 25 Jan 2021
- US
- 10902085
Quantum Circuit Risk Analysis
- 19 Oct 2020
- US
- 10810665
Blog posts
The power of quantum neural networks
ResearchAmira Abbas, David Sutter, and Stefan Wörner5 minute readNew Qiskit design: Introducing Qiskit application modules
ReleaseMatthew Treinish, Ali Javadi-Abhari, and Stefan Wörner3 minute read
Top collaborators
AD
Amol Deshmukh
Quantum Computational Scientist