About
I’m a Sherman Fairchild postdoc at Caltech interested in quantum machine learning. I’ve thought a lot about how to design provably efficient and expressive quantum machine learning models, showing they’re great at solving certain kinds of problems and not so great at solving even more kinds of problems. Studying when such models perform poorly has also led me to think about the hardness of approximation of typical instances of quantum spin glasses, both from a classical and quantum algorithmic perspective.
Check out my CV if you want to see more details on some of my highlighted work or just more details about me in general.
Sometimes this page is out of date; check out my Google Scholar or my arXiv page to see what I’ve been up to recently!
Publications
arXiv:2408.15699 [quant-ph]
arXiv:2408.11901 [quant-ph]
arXiv:2404.07231 [quant-ph]
arXiv:2403.05653 [quant-ph]
arXiv:2402.08606 [quant-ph]
arXiv:2312.09121 [quant-ph]
arXiv:2304.00643 [quant-ph]
arXiv:2212.03850 [quant-ph]
Quantum 7, 1189 (2023)
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2022)
PRX Quantum 4, 020338 (2023)
Phys. Rev. D 106, 056008 (2022)
Nat. Commun. 13, 7760 (2022)
Tech. Rep. (Zapata Computing Inc., 2021)
International Conference on Learning Representations (2022)
Phys. Rev. X 12, 021037 (2022)
Electronics 10, 1690 (2021)
ACM Trans. Quantum Comput. 2, 1 (2021)
Phys. Rev. A 100, 052327 (2019)
arxiv:1903.01359 [quant-ph]
Results featured as an invited talk at the Quantum Machine Learning and Data Analytics Workshop (2019).
International Workshop on Quantum Technology and Optimization Problems (Springer, 2019) pp. 74–85
Science 354, 1024 (2016)
Talks
Invited talk, QTML (2024)
Invited talk, aQa seminar (2024)
Invited talk, Quantum Machine Learning seminar, Google (2024)
Invited talk, MMM11 (2024)
Invited talk, QED-C Quantum Talent Showcase (2024)
Invited talk, SeeQA (2024)
Invited talk, Los Alamos National Laboratory (2024)
Invited talk, Planning Workshop on Quantum Computing, ASPLOS (2024)
Invited talk, CSUN (2024)
Invited talk, IQIM Seminar, Caltech (2024)
Invited talk, Tensor Network Reading Group, Mila (2023)
Panel, CIFAR Quantum Information Science Program Meeting (2023)
Invited talk, Centre for Quantum Technologies (2023)
Invited talk, Centre for Quantum Technologies (2023)
Invited talk, QHack (2023)
Invited tutorial, Harvard University (2022)
Invited talk, Masaryk University (2022)
Invited talk, Quantum Research Seminars Toronto (2021)
Invited talk, Centre for Quantum Technologies (2021)
Invited talk, Quantum Algorithms and Applications seminar, Microsoft (2021)
Quantum Techniques in Machine Learning (2021)
Quantum Techniques in Machine Learning (2020)
Invited talk, Condensed Matter Seminar, Tufts University (2020)
American Physical Society March Meeting (2019)