Machine learning for quantum data
Bohrdt Group · Research
Machine learning for quantum data
We develop machine learning methods for data from quantum simulation experiments (quantum gas microscopes, superconducting qubits) — unbiased, interpretable analysis of snapshots and correlators.
Selected references
Machine learning applications in cold atom quantum simulators
arXiv:2509.08011
arXiv:2509.08011
Learning to detect optical nonclassicality
arXiv:2603.06319
arXiv:2603.06319
Interpretable correlator Transformer for image-like quantum matter data
A. Suresh, H. Schlömer, B. Hashemi, A. Bohrdt
Mach. Learn.: Sci. Technol. (2025) · DOI · arXiv:2407.21502
A. Suresh, H. Schlömer, B. Hashemi, A. Bohrdt
Mach. Learn.: Sci. Technol. (2025) · DOI · arXiv:2407.21502