Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
We introduce conditional-GQE, a context-aware quantum circuit generator powered by an encoder–decoder transformer, and demonstrate its generative capability on combinatorial optimization tasks.
Authors
- Shunya Minami (ORCID: https://orcid.org/0000-0002-3566-817X)
- Tadashi Kadowaki
- Yohichi Suzuki (ORCID: https://orcid.org/0000-0003-3666-1815)
- Kouhei Nakaji
- Alán Aspuru‐Guzik (ORCID: https://orcid.org/0000-0002-8277-4434)
Institutions
- University of Toronto (CA)
- National Institutes for Quantum Science and Technology (JP)
- Vector Institute (CA)
- Nvidia (United States) (US)
- National Institute of Advanced Industrial Science and Technology (JP)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00138b
- Citations
- 1
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- National Institute of Advanced Industrial Science and Technology
- Council for Science, Technology and Innovation
- National Institutes for Quantum and Radiological Science and Technology
- Natural Resources Canada
- Japan Society for the Promotion of Science