Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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77 results for Quantum Machine Learning

When Machine Learning Meets Quantum Computers: A Case Study
- - Weiwen Jiang
  - Jinjun Xiong
  - et al.
- 2021
- ASP-DAC 2021
An quantum algorithm for feedforward neural networks tested on existing quantum hardware
- - Francesco Tacchino1
  - Dario Gerace
  - et al.
- 2020
- ESANN 2020
Automating and Accelerating Scientific Discovery – Continuous and Discontinuous Experimentation Setups for Polymer Research and High-Quality Dataset Generation
- - Tim Erdmann
  - Nathaniel Park
  - et al.
- 2023
- MaRDA 2023
From Tight Gradient Bounds for Parameterized Quantum Circuits to the Absence of Barren Plateaus in QGANs
- - Alistair Letcher
  - Stefan Woerner
  - et al.
- 2023
- QTML 2023
Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
- - Alistair Letcher
  - Stefan Woerner
  - et al.
- 2024
- ML-Obergurgl 2024
Symmetry-invariant Quantum Machine Learning Force Fields
- - Isabel Le
  - Oriel Kiss
  - et al.
- 2023
- QTML 2023
A perspective on quantum computing for analyzing cell-cell communication networks
- - Filippo Utro
  - Aritra Bose
  - et al.
- 2024
- ISMB 2024
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
Advancements in Quantum Computing—Viewpoint: Building Adoption and Competency in Industry
- - Sieglinde Pfaendler
  - Konstantin Konson
  - et al.
- 2024
- Datenbank-Spektrum
Quantum data learning for quantum simulations in high-energy physics
- - Lento Nagano
  - Alexander Miessen
  - et al.
- 2023
- PRResearch