I do research in quantum information, error correction, and machine learning, and have previously studied ways to improve the performance of quantum circuits run on near-term quantum computers. I do quantum computing Q&A as @forky40.

Select publications

• Bounds and guarantees for learning and entanglement. 2404.07277 (2024).
• Generalization despite overfitting in quantum machine learning models. Quantum 7 (2023).
• Qubit assignment using time reversal. PRX Quantum (2022).

Complete list: Google Scholar.

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Other writing/research

• Apr 2, 2024

  Survival of the Firstest: arXiv's positional effect on quant-ph citations

• Jun 6, 2023

  Early bird gets the worm: Analyzing quant-ph arXiv submission timing

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Conference talks / Invited presentations

1. Eisert group QML seminar. Talk: Bounds and Guarantees for learning and entanglement. May 16, 2024.
2. Quantum Techniques in Machine Learning 2023. Talk: Learning guarantees from entanglement manipulation. Nov 20, 2023.
3. University of Ottawa quantum information seminar. Talk: Some learning bounds and guarantees for quantum-quantum hypothesis testing. Oct 13, 2023.
4. Vector institute QML seminar. Talk: Generalization despite overfitting in quantum machine learning models. Feb. 15, 2023
5. Centre for Quantum Technologies QML seminar. Talk: Generalization despite overfitting in quantum machine learning models link. Jan 6, 2023.
6. Quantum Techniques in Machine learning 2022. Extended conference talk: Generalization despite overfitting in quantum machine learning models. Nov 9, 2022
7. Eisert group QML seminar. Talk: Generalization despite overfitting in quantum machine learning models. Nov 4, 2022
8. Xanadu QML seminar. Talk: Generalization despite overfitting in quantum machine learning. Oct 13, 2022
9. APS March meeting. Talk: Qubit assignment on NISQ hardware using Simulated Annealing and a Loschmidt Echo heuristic. Mar 16, 2022.
10. Second annual International Workshop on Quantum Computing Software. Talk: Large scale multi-node simulations of Z2 gauge theory quantum circuits using Google Cloud Platform. Nov 15, 2021.
11. Chicago quantum exchange workshop on feature maps. Talk: Machine learning of high dimensional data on a noisy quantum processor. Apr 16, 2021.
12. Stanford Linear Accelerator AI seminar. Talk: Machine learning of high dimensional data on a noisy quantum processor. Dec, 2020.