Christopher Ferrie

University of Technology Sydney — Australia

Computer Science · Physical Sciences

26h-index2.7kcitations126works4.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Quantum Information and Cryptography(74), Quantum Computing Algorithms and Architecture(69), Quantum Mechanics and Applications(42), Quantum and electron transport phenomena(9), Neural Networks and Reservoir Computing(9)

Publications126 total

Local surrogates for quantum machine learning
2026Open Access
Efficient Fidelity Estimation with Few Local Pauli Measurements
arXiv (Cornell University)·2025Open Access
Subuniversal variational circuits for combinatorial optimization problems
Physical review. A/Physical review, A·2025· 1 cited
Riemannian-geometric generalizations of quantum fidelities and Bures-Wasserstein distance
Journal of Mathematical Physics·2025Open Access
Local surrogates for quantum machine learning
arXiv (Cornell University)·2025Open Access
Quantum-Inspired Optimization Process for Data Imputation
arXiv (Cornell University)·2025Open Access
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Short-time quantum Fourier transform processing
2025· 2 citedOpen Access
A quantum approach to synthetic minority oversampling technique (SMOTE)
Quantum Machine Intelligence·2025· 12 citedOpen Access
A quantum computing startup says it is already making millions of light-powered chips
2025
Quantum noise spectroscopy by qudit spectators
arXiv (Cornell University)·2025Open Access
Quantum SMOTE with Angular Outliers: Redefining Minority Class Handling
arXiv (Cornell University)·2025Open Access
Trainability enhancement of parameterized quantum circuits via reduced-domain parameter initialization
Physical Review Applied·2024· 23 cited
Riemannian-geometric generalizations of quantum fidelities and Bures-Wasserstein distance
ArXiv.org·2024Open Access
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
arXiv (Cornell University)·2024Open Access
On the interpretability of quantum neural networks
Quantum Machine Intelligence·2024· 27 citedOpen Access
CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation
2024· 1 citedOpen Access
Quantum optimization for training quantum neural networks
Quantum Machine Intelligence·2024· 11 citedOpen Access
Solving the vehicle routing problem via quantum support vector machines
Quantum Machine Intelligence·2024· 11 citedOpen Access
Graph Neural Networks on Quantum Computers
arXiv (Cornell University)·2024· 2 citedOpen Access
page 1 of 7Next →

Frequent Co-authors

Christopher Granade(9), Joshua Combes(8), David G. Cory(6), Akram Youssry(5), Robin Blume-Kohout(5), Joseph Emerson(4), Carlton M. Caves(4), Nathan Wiebe(3), Ian Hincks(3), Jonathan A. Gross(3), Nishikanta Mohanty(3), Bikash K. Behera(3), Richard Kueng(2), Robert J. Chapman(2), Alberto Peruzzo(2), Steven T. Flammia(2), Joel J. Wallman(2), Gerardo A. Paz-Silva(2), Elija Perrier(2), Lirandë Pira(2)