CTO gives talk on Quantum Reservoir Computing at Triangle Quantum Computing Seminar Series.

FirstQFM Co-founder and CTO Isaiah Hull gave a talk on Quantum Reservoir Computing as part of the Fall 2025 Triangle Quantum Computing Seminar Series.

The seminar was hosted virtually by UNC and presented through the Triangle quantum computing community, including the Duke Quantum Center, the NC State Quantum Initiative, and UNC Kenan-Flagler's Rethinc. Labs.

The session introduced Quantum Reservoir Computing as an approach to sequential modeling that uses driven quantum systems as reservoirs, with quantum dynamics and measurement producing rich feature representations while keeping training focused on a simple linear readout.

The talk covered the relationship between classical reservoir computing and quantum reservoir computing, compared QRC with approaches such as autoregressive models, recurrent neural networks, LSTMs, Transformers, and state-space models, and discussed practical considerations for QRC on near-term quantum devices.

The seminar also emphasized QRC's practical relevance among quantum machine learning methods. Because it uses fixed quantum reservoirs, shallow circuits or short evolutions, and classical linear readouts, QRC can be implemented on noisy intermediate-scale quantum devices without requiring quantum error correction.