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
IBM welcomes CERN as a new hub in the IBM Quantum Network
ResearchIvano Tavernelli and Panagiotis Barkoutsos7 minute read- Machine Learning
- Quantum
- Quantum Community
- Quantum Machine Learning
Quantum kernels can solve machine learning problems that are hard for all classical methods
ResearchSrinivasan Arunachalam, Yunchao Liu, and Kristan Temme5 minute read- Machine Learning
- Quantum
- Quantum Information Science
- Quantum Machine Learning
The power of quantum neural networks
ResearchAmira Abbas, David Sutter, and Stefan Wörner5 minute read- Quantum
- Quantum Information Science
- Quantum Machine Learning
IBM Quantum Challenge generates better solutions than challenge creators thought possible
NewsJunye Huang4 minute read- Quantum
- Quantum Circuits and Software
- Quantum Community
- Quantum Error Correction
- Quantum Information Science
- Quantum Machine Learning
The Discovery Accelerator comes to Europe
NewsAnthony Annunziata, Peter Waggett, and Alessandro Curioni5 minute read- Accelerated Discovery
- Materials Discovery
- Quantum Chemistry
- Quantum Circuits and Software
- Quantum Community
- Quantum Machine Learning
An efficient method to learn quantum many-body systems
ResearchSrinivasan Arunachalam and Ryan Mandelbaum6 minute read- Machine Learning
- Quantum
- Quantum Chemistry
- Quantum Machine Learning
- See more of our work on Quantum Machine Learning
Publications
- Julien Gacon
- Christa Zoufal
- et al.
- 2023
- QCE 2023
- Izuho Koyasu
- Raymond Harry Putra Rudy
- et al.
- 2023
- QCE 2023
- Francesco Tacchino
- Oriel Kiss
- et al.
- 2023
- ACS Fall 2023
- Jhih-cing Huang
- Yu-Lin Tsai
- et al.
- 2023
- ICASSP 2023
- Georgios Kollias
- Vasileios Kalantzis
- et al.
- 2023
- ICASSP 2023
- Manuel John
- Julian Schuhmacher
- et al.
- 2023
- Entropy