Michael J. Kastoryano

University of Copenhagen — Denmark

Computer Science · Physical Sciences

25h-index2.7kcitations61works6.22yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(27), Quantum many-body systems(27), Quantum Information and Cryptography(20), Particle physics theoretical and experimental studies(11), Quantum and electron transport phenomena(8)

Publications50 total

Efficient quantum thermal simulation
Nature·2025· 4 citedOpen Access
Quantum Algorithms
Cambridge University Press eBooks·2025· 30 citedOpen Access
Functional matrix product state simulation of continuous variable quantum circuits
arXiv (Cornell University)·2025Open Access
Complexity phase transitions in instantaneous quantum polynomial-time circuits
Physical Review Research·2025Open Access
Variational Tensor Network Simulation of Gaussian Boson Sampling and Beyond
arXiv (Cornell University)·2024Open Access
Quantum generalizations of Glauber and Metropolis dynamics
arXiv (Cornell University)·2024· 3 citedOpen Access
An efficient and exact noncommutative quantum Gibbs sampler
arXiv (Cornell University)·2023· 10 citedOpen Access
Quantum algorithms: A survey of applications and end-to-end complexities
arXiv (Cornell University)·2023· 46 citedOpen Access
Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry
Nature Communications·2023· 227 citedOpen Access
Quantum Thermal State Preparation
arXiv (Cornell University)·2023· 19 citedOpen Access
Expressive power of complex-valued restricted Boltzmann machines for solving nonstoquastic Hamiltonians
Physical review. B./Physical review. B·2022· 25 citedOpen Access
Is there evidence for exponential quantum advantage in quantum chemistry?
arXiv (Cornell University)·2022· 20 citedOpen Access
Complexity phase transitions in instantaneous quantum polynomial-time circuits
arXiv (Cornell University)·2022· 1 citedOpen Access
A highly efficient tensor network algorithm for multi-asset Fourier options pricing
arXiv (Cornell University)·2022· 2 citedOpen Access
Classical restrictions of generic matrix product states are quasi-locally Gibbsian
Journal of Mathematical Physics·2021· 1 citedOpen Access
Learning Neural Network Quantum States with the Linear Method
arXiv (Cornell University)·2021· 1 citedOpen Access
Are neural quantum states good at solving non-stoquastic spin Hamiltonians?
arXiv (Cornell University)·2021· 5 citedOpen Access
Expressive power of complex-valued restricted Boltzmann machines for solving non-stoquastic Hamiltonians
arXiv (Cornell University)·2020Open Access
Geometry of learning neural quantum states
Physical Review Research·2020· 2 citedOpen Access
Topological transport in the steady state of a quantum particle with dissipation
Physical review. B./Physical review. B·2019· 18 citedOpen Access
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Frequent Co-authors

Jens Eisert(12), Fernando G. S. L. Brandão(8), Chae-Yeun Park(7), Kristan Temme(5), Chi-Fang Chen(5), András Gilyén(5), Alexander M. Dalzell(4), Martin Kliesch(4), Christian Gogolin(4), Michael M. Wolf(3), Michael Herold(3), Earl T. Campbell(3), Florentin Reiter(2), Anders S. Sørensen(2), Joonho Lee(2), Ashutosh Kumar(2), Phillip Helms(2), Johnnie Gray(2), Wenyuan Liu(2), Ryan Babbush(2)