Izaac, Josh

Evaluating analytic gradients on quantum hardware

Schuld, M., Bergholm, V., Gogolin, C., Izaac, J., & Killoran, N. (2019) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,072

PennyLane: Automatic differentiation of hybrid quantum-classical computations

Bergholm, V., Izaac, J., Schuld, M., Gogolin, C., Ahmed, S., Ajith, V., Alam, M. S., Alonso-Linaje, G., AkashNarayanan, B., Asadi, A., et al. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 732

Quantum Natural Gradient

Stokes, J., Izaac, J., Killoran, N., & Carleo, G. (2020) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 473

Transfer learning in hybrid classical-quantum neural networks

Mari, A., Bromley, T. R., Izaac, J., Schuld, M., & Killoran, N. (2020) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 435

Quantum embeddings for machine learning

Lloyd, S., Schuld, M., Ijaz, A., Izaac, J., & Killoran, N. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 198

Applications of near-term photonic quantum computers: software and algorithms

Bromley, T. R., Arrazola, J. M., Jahangiri, S., Izaac, J., Quesada, N., Gran, A. D., Schuld, M., Swinarton, J., Zabaneh, Z., & Killoran, N. (2020) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 128