Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Wang, Sheng‐Tao"'
Autor:
Rodriguez, Pedro Sales, Robinson, John M., Jepsen, Paul Niklas, He, Zhiyang, Duckering, Casey, Zhao, Chen, Wu, Kai-Hsin, Campo, Joseph, Bagnall, Kevin, Kwon, Minho, Karolyshyn, Thomas, Weinberg, Phillip, Cain, Madelyn, Evered, Simon J., Geim, Alexandra A., Kalinowski, Marcin, Li, Sophie H., Manovitz, Tom, Amato-Grill, Jesse, Basham, James I., Bernstein, Liane, Braverman, Boris, Bylinskii, Alexei, Choukri, Adam, DeAngelo, Robert, Fang, Fang, Fieweger, Connor, Frederick, Paige, Haines, David, Hamdan, Majd, Hammett, Julian, Hsu, Ning, Hu, Ming-Guang, Huber, Florian, Jia, Ningyuan, Kedar, Dhruv, Kornjača, Milan, Liu, Fangli, Long, John, Lopatin, Jonathan, Lopes, Pedro L. S., Luo, Xiu-Zhe, Macrì, Tommaso, Marković, Ognjen, Martínez-Martínez, Luis A., Meng, Xianmei, Ostermann, Stefan, Ostroumov, Evgeny, Paquette, David, Qiang, Zexuan, Shofman, Vadim, Singh, Anshuman, Singh, Manuj, Sinha, Nandan, Thoreen, Henry, Wan, Noel, Wang, Yiping, Waxman-Lenz, Daniel, Wong, Tak, Wurtz, Jonathan, Zhdanov, Andrii, Zheng, Laurent, Greiner, Markus, Keesling, Alexander, Gemelke, Nathan, Vuletić, Vladan, Kitagawa, Takuya, Wang, Sheng-Tao, Bluvstein, Dolev, Lukin, Mikhail D., Lukin, Alexander, Zhou, Hengyun, Cantú, Sergio H.
Realizing universal fault-tolerant quantum computation is a key goal in quantum information science. By encoding quantum information into logical qubits utilizing quantum error correcting codes, physical errors can be detected and corrected, enabling
Externí odkaz:
http://arxiv.org/abs/2412.15165
Autor:
Beaulieu, Daniel, Kornjaca, Milan, Krunic, Zoran, Stivaktakis, Michael, Ehmer, Thomas, Wang, Sheng-Tao, Pham, Anh
Machine learning has been increasingly utilized in the field of biomedical research to accelerate the drug discovery process. In recent years, the emergence of quantum computing has been followed by extensive exploration of quantum machine learning a
Externí odkaz:
http://arxiv.org/abs/2412.06758
Autor:
Gonzalez-Cuadra, Daniel, Hamdan, Majd, Zache, Torsten V., Braverman, Boris, Kornjaca, Milan, Lukin, Alexander, Cantu, Sergio H., Liu, Fangli, Wang, Sheng-Tao, Keesling, Alexander, Lukin, Mikhail D., Zoller, Peter, Bylinskii, Alexei
Lattice gauge theories (LGTs) describe a broad range of phenomena in condensed matter and particle physics. A prominent example is confinement, responsible for bounding quarks inside hadrons such as protons or neutrons. When quark-antiquark pairs are
Externí odkaz:
http://arxiv.org/abs/2410.16558
Autor:
Wilson, Blake A., Wurtz, Jonathan, Mkhitaryan, Vahagn, Bezick, Michael, Wang, Sheng-Tao, Kais, Sabre, Shalaev, Vladimir M., Boltasseva, Alexandra
Large-scale optimization problems are prevalent in several fields, including engineering, finance, and logistics. However, most optimization problems cannot be efficiently encoded onto a physical system because the existing quantum samplers have too
Externí odkaz:
http://arxiv.org/abs/2407.13830
Autor:
Kornjača, Milan, Hu, Hong-Ye, Zhao, Chen, Wurtz, Jonathan, Weinberg, Phillip, Hamdan, Majd, Zhdanov, Andrii, Cantu, Sergio H., Zhou, Hengyun, Bravo, Rodrigo Araiza, Bagnall, Kevin, Basham, James I., Campo, Joseph, Choukri, Adam, DeAngelo, Robert, Frederick, Paige, Haines, David, Hammett, Julian, Hsu, Ning, Hu, Ming-Guang, Huber, Florian, Jepsen, Paul Niklas, Jia, Ningyuan, Karolyshyn, Thomas, Kwon, Minho, Long, John, Lopatin, Jonathan, Lukin, Alexander, Macrì, Tommaso, Marković, Ognjen, Martínez-Martínez, Luis A., Meng, Xianmei, Ostroumov, Evgeny, Paquette, David, Robinson, John, Rodriguez, Pedro Sales, Singh, Anshuman, Sinha, Nandan, Thoreen, Henry, Wan, Noel, Waxman-Lenz, Daniel, Wong, Tak, Wu, Kai-Hsin, Lopes, Pedro L. S., Boger, Yuval, Gemelke, Nathan, Kitagawa, Takuya, Keesling, Alexander, Gao, Xun, Bylinskii, Alexei, Yelin, Susanne F., Liu, Fangli, Wang, Sheng-Tao
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite this promise, most contemporary quantum methods require significant res
Externí odkaz:
http://arxiv.org/abs/2407.02553
Autor:
Zhou, Hengyun, Zhao, Chen, Cain, Madelyn, Bluvstein, Dolev, Duckering, Casey, Hu, Hong-Ye, Wang, Sheng-Tao, Kubica, Aleksander, Lukin, Mikhail D.
Fast, reliable logical operations are essential for the realization of useful quantum computers, as they are required to implement practical quantum algorithms at large scale. By redundantly encoding logical qubits into many physical qubits and using
Externí odkaz:
http://arxiv.org/abs/2406.17653
Autor:
Darbha, Siva, Kornjača, Milan, Liu, Fangli, Balewski, Jan, Hirsbrunner, Mark R., Lopes, Pedro L. S., Wang, Sheng-Tao, Van Beeumen, Roel, Klymko, Katherine, Camps, Daan
Publikováno v:
Phys. Rev. B 110, 155114 (2024)
Metastable states arise in a range of quantum systems and can be observed in various dynamical scenarios, including decay, bubble nucleation, and long-lived oscillations. The phenomenology of metastable states has been examined in quantum many-body s
Externí odkaz:
http://arxiv.org/abs/2404.12371
Autor:
Darbha, Siva, Kornjača, Milan, Liu, Fangli, Balewski, Jan, Hirsbrunner, Mark R., Lopes, Pedro L. S., Wang, Sheng-Tao, Van Beeumen, Roel, Camps, Daan, Klymko, Katherine
Publikováno v:
Phys. Rev. B 110, 155103 (2024)
Metastable states of quantum many-body systems with confinement offer a means to simulate false vacuum phenomenology, including non-equilibrium dynamical processes like decay by nucleation, in truncated limits. Recent work has examined the decay proc
Externí odkaz:
http://arxiv.org/abs/2404.12360
Combinatorial optimization is a challenging problem applicable in a wide range of fields from logistics to finance. Recently, quantum computing has been used to attempt to solve these problems using a range of algorithms, including parameterized quan
Externí odkaz:
http://arxiv.org/abs/2403.03153
Autor:
Lu, Jonathan Z., Jiao, Lucy, Wolinski, Kristina, Kornjača, Milan, Hu, Hong-Ye, Cantu, Sergio, Liu, Fangli, Yelin, Susanne F., Wang, Sheng-Tao
We propose hybrid digital-analog learning algorithms on Rydberg atom arrays, combining the potentially practical utility and near-term realizability of quantum learning with the rapidly scaling architectures of neutral atoms. Our construction require
Externí odkaz:
http://arxiv.org/abs/2401.02940