Nathan Killoran

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Quantum Computation

Transfer Learning

Empirical Bayes

Top Venues

Quantum Mach. Intell.

Quantum Inf. Process.

Publications

Chae-Yeun Park, Nathan Killoran
Hamiltonian variational ansatz without barren plateaus. Quantum 8 (2024)
Roeland Wiersema, Dylan Lewis, David Wierichs, Juan Carrasquilla, Nathan Killoran
Here comes the SU(N): multivariate quantum gates and gradients. Quantum 8 (2024)
Angus Lowe, Matija Medvidovic, Anthony Hayes, Lee J. O'Riordan, Thomas R. Bromley, Juan Miguel Arrazola, Nathan Killoran
Fast quantum circuit cutting with randomized measurements. Quantum 7 (2023)
Patrick Huembeli, Juan Miguel Arrazola, Nathan Killoran, Masoud Mohseni, Peter Wittek
The physics of energy-based models. Quantum Mach. Intell. 4 (1) (2022)
Juan Miguel Arrazola, Olivia Di Matteo, Nicolás Quesada, Soran Jahangiri, Alain Delgado, Nathan Killoran
Universal quantum circuits for quantum chemistry. Quantum 6 (2022)
Trevor Vincent, Lee J. O'Riordan, Mikhail Andrenkov, Jack Brown, Nathan Killoran, Haoyu Qi, Ish Dhand
Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction. Quantum 6 (2022)
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
Quantum Natural Gradient. Quantum 4 (2020)
Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran
Transfer learning in hybrid classical-quantum neural networks. Quantum 4 (2020)
Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran
Transfer learning in hybrid classical-quantum neural networks. CoRR (2019)
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
Quantum Natural Gradient. CoRR (2019)
Pierre-Luc Dallaire-Demers, Nathan Killoran
Quantum generative adversarial networks. CoRR (2018)
Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola, Maria Schuld, Nicolás Quesada, Seth Lloyd
Continuous-variable quantum neural networks. CoRR (2018)
Ville Bergholm, Josh A. Izaac, Maria Schuld, Christian Gogolin, Nathan Killoran
PennyLane: Automatic differentiation of hybrid quantum-classical computations. CoRR (2018)
Nathan Killoran, Leo J. Lee, Andrew Delong, David Duvenaud, Brendan J. Frey
Generating and designing DNA with deep generative models. CoRR (2017)
Won Young Hwang, Joonwoo Bae, Nathan Killoran
No-signaling quantum key distribution: solution by linear programming. Quantum Inf. Process. 14 (2) (2015)