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 readQuantum 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 Wörner5 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
Challenges and opportunities in quantum optimization
- Amira Abbas
- Andris Ambainis
- et al.
- 2024
- Nature Reviews Physics
How can quantum computing be applied in clinical trial design and optimization?
- Hakan Doga
- Aritra Bose
- et al.
- 2024
- Trends in Pharmacological Sciences
Hybrid quantum-classical graph neural networks for tumor classification in digital pathology
- Anupama Ray
- Dhiraj Madan
- et al.
- 2024
- QCE 2024
WKS23 — Quantum Algorithms for Bio and Life Sciences
- Alexey Galda
- Elica Kyoseva
- et al.
- 2024
- QCE 2024
Engineered dissipation to mitigate barren plateaus
- Antonio Sannia
- Francesco Tacchino
- et al.
- 2024
- npj Quantum Information
Quantum Theory and Application of Contextual Optimal Transport
- Nicola Mariella
- Albert Akhriev
- et al.
- 2024
- ICML 2024