Angus Kan
Angus Kan
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A resource efficient approach for quantum and classical simulations of gauge theories in particle physics
JF Haase, L Dellantonio, A Celi, D Paulson, A Kan, K Jansen, CA Muschik
Quantum 5, 393, 2021
Simulating 2D Effects in Lattice Gauge Theories on a Quantum Computer
D Paulson, L Dellantonio, JF Haase, A Celi, A Kan, A Jena, C Kokail, ...
PRX Quantum 2 (3), 030334, 2021
Lattice quantum chromodynamics and electrodynamics on a universal quantum computer
A Kan, Y Nam
arXiv preprint arXiv:2107.12769, 2021
Investigating a topological -term in the Hamiltonian formulation of lattice gauge theories for quantum and classical simulations
A Kan, L Funcke, S Kühn, L Dellantonio, J Zhang, JF Haase, CA Muschik, ...
Physical Review D 104 (3), 034504, 2021
High photon-loss threshold quantum computing using GHZ-state measurements
B Pankovich, A Kan, KH Wan, M Ostmann, A Neville, S Omkar, A Sohbi, ...
arXiv preprint arXiv:2308.04192, 2023
3+1D 𝜽-Term on the Lattice from the Hamiltonian Perspective
A Kan, L Funcke, S Kühn, L Dellantonio, J Zhang, JF Haase, CA Muschik, ...
The 38th International Symposium on Lattice Field Theory (LATTICE2021), 2021
Flexible entangled state generation in linear optics
B Pankovich, A Neville, A Kan, S Omkar, KH Wan, K Brádler
arXiv preprint arXiv:2310.06832, 2023
Simulating lattice quantum electrodynamics on a quantum computer
A Kan, Y Nam
Quantum Science and Technology 8 (1), 015008, 2022
Option pricing under stochastic volatility on a quantum computer
G Wang, A Kan
arXiv preprint arXiv:2312.15871, 2023
Quantum Computational Particle Physics: Algorithms, Resource Estimation, and Model-Building
A Kan
University of Waterloo, 2022
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