Stefan Woerner

Title

Manager, Quantum Computational Science

Bio

Dr. Stefan Woerner is a Principal Research Scientist and Manager of the Quantum Computational Science group at IBM Quantum, 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. Stefan is renowned for his research in quantum optimization, quantum finance, and quantum machine learning. He leads a multidisciplinary team advancing quantum computing across a broad range of application areas with the goal of achieving practically relevant quantum advantage. He has authored influential papers, supervised several PhD students, and regularly delivers keynotes at major conferences and institutions worldwide.

Publications

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
Variational Quantum Boltzmann Machines
- - Christa Zoufal
  - Aurélien Lucchi
  - et al.
- 2021
- APS March Meeting 2021
The power of quantum neural networks
- - Amira Abbas
  - David Sutter
  - et al.
- 2021
- APS March Meeting 2021
Quantum Legendre-Fenchel transform
- - David Sutter
  - Giacomo Nannicini
  - 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
Warm-starting quantum optimization
- - Daniel Egger
  - Jakub Marecek
  - et al.
- 2021
- APS March Meeting 2021
Improved quasiprobabilistic quantum error mitigation
- - Christophe Piveteau
  - David Sutter
  - et al.
- 2021
- APS March Meeting 2021

Patents

- 14 Aug 2023
- US
- 11728011
System And Method For Molecular Design On A Quantum Computer
- 12 Jun 2023
- US
- 11676056
Calculating Excited State Properties Of A Molecular System Using A Hybrid Classical-quantum Computing System
- 29 May 2023
- US
- 11663511
Iterative Quantum Amplitude Estimation
- 15 May 2023
- US
- 11651264
System And Method For Handling Inequality Constraints In Mixed Binary Optimization On Quantum Computers
- 21 Feb 2023
- JP
- 7232902
Quantum Computing Algorithm For The Investigation Of The Molecular Excited States
- 23 Jan 2023
- US
- 11562281
Hierarchical Portfolio Optimization Using Clustering And Near-term Quantum Computers
- 09 Jan 2023
- US
- 11551128
Branched Heteropolymer Lattice Model For Quantum Optimization
- 05 Dec 2022
- JP
- 7189966
Quantum Circuit Risk Analysis
- 07 Nov 2022
- US
- 11494532
Simulation-based Optimization On A Quantum Computer
- 18 Apr 2022
- US
- 11308252
Fault-tolerant T-gates Via Quasiprobability Decomposition

Blog posts

New Quantum Optimization Benchmarking Library invites researchers to put algorithms to the test
Research
Christa Zoufal, Stefan Woerner, and Robert Davis
14 May 2025
- Quantum Community
- Quantum Research
Exploring the potential for quantum advantage in mathematical optimization
Research
Stefan Woerner, Ryan Mandelbaum, and Robert Davis
05 Feb 2025
- Quantum Community
The power of quantum neural networks
Research
Amira Abbas, David Sutter, and Stefan Woerner
02 Jul 2021
5 minute read
New Qiskit design: Introducing Qiskit application modules
Release
Matthew Treinish, Ali Javadi-Abhari, and Stefan Woerner
06 Apr 2021
3 minute read
- Quantum
- Quantum Software

Top collaborators

Stefan Woerner

Title

Bio

Publications

Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware

Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware

Effective dimension of machine learning models

Error Bounds for Variational Quantum Time Evolution

Variational Quantum Boltzmann Machines

The power of quantum neural networks

Quantum Legendre-Fenchel transform

Enhancing the Quantum Linear Systems Algorithm using Richardson Extrapolation

Warm-starting quantum optimization

Improved quasiprobabilistic quantum error mitigation

Patents

System And Method For Molecular Design On A Quantum Computer

Calculating Excited State Properties Of A Molecular System Using A Hybrid Classical-quantum Computing System

Iterative Quantum Amplitude Estimation

System And Method For Handling Inequality Constraints In Mixed Binary Optimization On Quantum Computers

Quantum Computing Algorithm For The Investigation Of The Molecular Excited States

Hierarchical Portfolio Optimization Using Clustering And Near-term Quantum Computers

Branched Heteropolymer Lattice Model For Quantum Optimization

Quantum Circuit Risk Analysis

Simulation-based Optimization On A Quantum Computer

Fault-tolerant T-gates Via Quasiprobability Decomposition

Blog posts

New Quantum Optimization Benchmarking Library invites researchers to put algorithms to the test

Exploring the potential for quantum advantage in mathematical optimization

The power of quantum neural networks

New Qiskit design: Introducing Qiskit application modules

Top collaborators

Christa Zoufal

Sergiy Zhuk

Jannis Born

Nicola Mariella