Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Andy C. Y. Li"'
Autor:
Erik J. Gustafson, Andy C. Y. Li, Abid Khan, Joonho Kim, Doga Murat Kurkcuoglu, M. Sohaib Alam, Peter P. Orth, Armin Rahmani, Thomas Iadecola
Publikováno v:
Quantum, Vol 7, p 1171 (2023)
Quantum many-body scar states are highly excited eigenstates of many-body systems that exhibit atypical entanglement and correlation properties relative to typical eigenstates at the same energy density. Scar states also give rise to infinitely long-
Externí odkaz:
https://doaj.org/article/4ae081ec7ae540b3aaeeaa3c6a81012c
Autor:
Andy C. Y. Li, M. Sohaib Alam, Thomas Iadecola, Ammar Jahin, Joshua Job, Doga Murat Kurkcuoglu, Richard Li, Peter P. Orth, A. Barış Özgüler, Gabriel N. Perdue, Norm M. Tubman
Publikováno v:
Physical Review Research, Vol 5, Iss 3, p 033071 (2023)
Quantum spin systems may offer the first opportunities for beyond-classical quantum computations of scientific interest. While general quantum simulation algorithms likely require error-corrected qubits, there may be applications of scientific intere
Externí odkaz:
https://doaj.org/article/78ec4ee56c4a4092a88fa5e0e0a9b925
Autor:
Sau Lan Wu, Shaojun Sun, Wen Guan, Chen Zhou, Jay Chan, Chi Lung Cheng, Tuan Pham, Yan Qian, Alex Zeng Wang, Rui Zhang, Miron Livny, Jennifer Glick, Panagiotis Kl. Barkoutsos, Stefan Woerner, Ivano Tavernelli, Federico Carminati, Alberto Di Meglio, Andy C. Y. Li, Joseph Lykken, Panagiotis Spentzouris, Samuel Yen-Chi Chen, Shinjae Yoo, Tzu-Chieh Wei
Publikováno v:
Physical Review Research, Vol 3, Iss 3, p 033221 (2021)
Quantum machine learning could possibly become a valuable alternative to classical machine learning for applications in high energy physics by offering computational speedups. In this study, we employ a support vector machine with a quantum kernel es
Externí odkaz:
https://doaj.org/article/47e6843f125a47ed8b9a8f9972bb4712
Publikováno v:
Physical Review X, Vol 7, Iss 1, p 011016 (2017)
Condensed matter physics has been driven forward by significant experimental and theoretical progress in the study and understanding of equilibrium phase transitions based on symmetry and topology. However, nonequilibrium phase transitions have remai
Externí odkaz:
https://doaj.org/article/3db694ea7d61440588b732db1b8552f2
Publikováno v:
Physical Review X, Vol 6, Iss 2, p 021044 (2016)
Microwave photons inside lattices of coupled resonators and superconducting qubits can exhibit surprising matterlike behavior. Realizing such open-system quantum simulators presents an experimental challenge and requires new tools and measurement tec
Externí odkaz:
https://doaj.org/article/f392b6fd678e4948be362c7d1885ed3c
Publikováno v:
Physical Review X, Vol 6, Iss 2, p 021037 (2016)
Lattice models of fermions, bosons, and spins have long served to elucidate the essential physics of quantum phase transitions in a variety of systems. Generalizing such models to incorporate driving and dissipation has opened new vistas to investiga
Externí odkaz:
https://doaj.org/article/80182634e5d74b2f8da29077f20a00fc
The calculation of dynamic response functions is expected to be an early application benefiting from rapidly developing quantum hardware resources. The ability to calculate real-time quantities of strongly-correlated quantum systems is one of the mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::898568c09a03325428695116aa5a5277
https://hdl.handle.net/11572/339298
https://hdl.handle.net/11572/339298
Autor:
Ammar Jahin, Andy C. Y. Li, Thomas Iadecola, Peter P. Orth, Gabriel N. Perdue, Alexandru Macridin, M. Sohaib Alam, Norm M. Tubman
We use the variational quantum eigensolver (VQE) to simulate Kitaev spin models with and without integrability breaking perturbations, focusing in particular on the honeycomb and square-octagon lattices. These models are well known for being exactly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51337b2e4c6169b79c8dbce50b1f05f4
Autor:
Erik Gustafson, Burt Holzman, James Kowalkowski, Henry Lamm, Andy C. Y. Li, Gabriel Perdue, Sergei V. Isakov, Orion Martin, Ross Thomson, Jackson Beall, Martin Ganahl, Guifre Vidal, Evan Peters
Publikováno v:
2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5881bb6a0c5d36073b6d1140f969c36e
https://doi.org/10.1109/qcs54837.2021.00012
https://doi.org/10.1109/qcs54837.2021.00012
Autor:
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Miron Livny, Yan Qian, Stefan Woerner, Wen Guan, Rui Zhang, Chen Zhou, Andy C. Y. Li, Alberto Di Meglio, Panagiotis Kl. Barkoutsos, Shaojun Sun, Joseph Lykken, Jennifer R. Glick, Chi Lung Cheng, Shinjae Yoo, Federico Carminati, Tuan Pham, Sau Lan Wu, Alex Wang, Panagiotis Spentzouris, Ivano Tavernelli, Jay Chan
Quantum machine learning could possibly become a valuable alternative to classical machine learning for applications in high energy physics by offering computational speedups. In this study, we employ a support vector machine with a quantum kernel es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8fce4dae6491b3ba1ae8ff783737e33