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

A Hybrid Quantum-Classical Algorithm for Training Quantum Boltzmann Machines
- - Christa Zoufal
  - Aurélien Lucchi
  - et al.
- 2020
- APS March Meeting 2020
Frustrated magnets and fermions with Neural Network Quantum States
- - Kenny Jing Choo
  - Antonio Mezzacapo
  - et al.
- 2020
- APS March Meeting 2020
Learning hard distributions with quantum-enhanced variational autoencoders
- - Anantha Rao
  - Dhiraj Madan
  - et al.
- 2024
- QIP 2024
On the role of entanglement and statistics in learning
- - Srinivasan Arunachalam
  - Vojtech Havlicek
  - et al.
- 2024
- QIP 2024
Learning via Many-Body Localized Hidden Born Machine
- - Weishun Zhong
  - Xun Gao
  - et al.
- 2022
- APS March Meeting 2022
Co-design of Quantum Circuit Architectures for Quantum Chemistry
- - Waheeda Banu Saib
  - Kenny Choo
  - et al.
- 2022
- QIP 2022
Quantum Control in the Eye of Artificial Neural Networks
- - Murphy Yuezhen Niu
  - Lior Horesh
  - et al.
- 2020
- QIP 2020
Practical application improvement to Quantum SVM: theory to practice
- - Jae-eun Park
  - Brian Quanz
  - et al.
- 2020
- NeurIPS 2020
Quantum Theory and Application of Contextual Optimal Transport
- - Nicola Mariella
  - Jannis Born
  - et al.
- 2023
- NeurIPS 2023
Learning hard distributions with quantum-enhanced variational autoencoders
- - Anantha Rao
  - Dhiraj Madan
  - et al.
- 2023
- NeurIPS 2023