IBM welcomes CERN as a new hub in the IBM Quantum Network
Research
Ivano Tavernelli and Panagiotis Barkoutsos
7 minute read
Quantum Machine Learning
We now know that quantum computers have the potential to boost the performance of machine learning systems, and may eventually power efforts in fields from drug discovery to fraud detection. We're doing foundational research in quantum ML to power tomorrow’s smart quantum algorithms.
Our work
Quantum kernels can solve machine learning problems that are hard for all classical methods
ResearchYunchao Liu, Srinivasan Arunachalam, and Kristan Temme5 minute readThe power of quantum neural networks
ResearchAmira Abbas, David Sutter, and Stefan Woerner5 minute readIBM Quantum Challenge generates better solutions than challenge creators thought possible
NewsJunye Huang4 minute readThe Discovery Accelerator comes to Europe
NewsAnthony Annunziata, Peter Waggett, and Alessandro Curioni5 minute readAn efficient method to learn quantum many-body systems
ResearchSrinivasan Arunachalam and Ryan Mandelbaum6 minute read- See more of our work on Quantum Machine Learning
Publications
Inner product estimation with limited quantum communication
- Srinivasan Arunachalam
- Louis Schatzki
- 2025
- STACS 2025
Quantum convolutional neural networks to optimize the design of synthetic immune cells
- 2025
- AI Festival 2025
Multivariate trace estimation using quantum state space linear algebra
- Liron Yosef
- Shashanka Ubaru
- et al.
- 2025
- SIMAX
Comparing Natural Language Processing and Quantum Natural Processing approaches in text classification tasks
- David Peral-García
- Juan Cruz-Benito
- et al.
- 2024
- Expert Systems with Applications
Challenges and opportunities in quantum optimization
- Amira Abbas
- Andris Ambainis
- et al.
- 2024
- Nature Reviews Physics
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
- Emre Sahin
- Benjamin C.B. Symons
- et al.
- 2024
- Quantum