Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Jarrod R McClean"'
Autor:
Jarrod R McClean, Fabian M Faulstich, Qinyi Zhu, Bryan O’Gorman, Yiheng Qiu, Steven R White, Ryan Babbush, Lin Lin
Publikováno v:
New Journal of Physics, Vol 22, Iss 9, p 093015 (2020)
All-electron electronic structure methods based on the linear combination of atomic orbitals method with Gaussian basis set discretization offer a well established, compact representation that forms much of the foundation of modern correlated quantum
Externí odkaz:
https://doaj.org/article/e974328c31884cd190dfd9e558d80c86
Publikováno v:
PRX Quantum, Vol 5, Iss 4, p 040301 (2024)
The ability of quantum computers to directly manipulate and analyze quantum states stored in quantum memory allows them to learn about aspects of our physical world that would otherwise be invisible given a modest number of measurements. Here we inve
Externí odkaz:
https://doaj.org/article/f2a5f90838a84bba91ab3990237c54d4
Publikováno v:
New Journal of Physics, Vol 18, Iss 2, p 023023 (2016)
Many quantum algorithms have daunting resource requirements when compared to what is available today. To address this discrepancy, a quantum-classical hybrid optimization scheme known as ‘the quantum variational eigensolver’ was developed (Peruzz
Externí odkaz:
https://doaj.org/article/11018d1525534d14adf6d944dece810f
Autor:
William J. Huggins, Jarrod R. McClean
Publikováno v:
Quantum, Vol 8, p 1264 (2024)
Real-world applications of computing can be extremely time-sensitive. It would be valuable if we could accelerate such tasks by performing some of the work ahead of time. Motivated by this, we propose a cost model for quantum algorithms that allows q
Externí odkaz:
https://doaj.org/article/a148543a19d54654af83c09dc538e3b3
Autor:
Thomas Schuster, Murphy Niu, Jordan Cotler, Thomas O'Brien, Jarrod R. McClean, Masoud Mohseni
Publikováno v:
Physical Review Research, Vol 5, Iss 4, p 043284 (2023)
Learning the properties of dynamical quantum systems underlies applications ranging from nuclear magnetic resonance spectroscopy to quantum device characterization. A central challenge in this pursuit is the learning of strongly interacting systems,
Externí odkaz:
https://doaj.org/article/9d0d24a2b54b4943912a15a9b84f128e
Autor:
Mario Motta, Erika Ye, Jarrod R. McClean, Zhendong Li, Austin J. Minnich, Ryan Babbush, Garnet Kin-Lic Chan
Publikováno v:
npj Quantum Information, Vol 7, Iss 1, Pp 1-7 (2021)
Abstract The quantum simulation of quantum chemistry is a promising application of quantum computers. However, for N molecular orbitals, the $${\mathcal{O}}({N}^{4})$$ O ( N 4 ) gate complexity of performing Hamiltonian and unitary Coupled Cluster Tr
Externí odkaz:
https://doaj.org/article/952d283f874a4287ae1b8234c4cc470a
Autor:
Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Expectations for quantum machine learning are high, but there is currently a lack of rigorous results on which scenarios would actually exhibit a quantum advantage. Here, the authors show how to tell, for a given dataset, whether a quantum model woul
Externí odkaz:
https://doaj.org/article/076ad8aa820c4993a8091c6ffbf839db
Autor:
William J. Huggins, Jarrod R. McClean, Nicholas C. Rubin, Zhang Jiang, Nathan Wiebe, K. Birgitta Whaley, Ryan Babbush
Publikováno v:
npj Quantum Information, Vol 7, Iss 1, Pp 1-9 (2021)
Abstract Variational algorithms are a promising paradigm for utilizing near-term quantum devices for modeling electronic states of molecular systems. However, previous bounds on the measurement time required have suggested that the application of the
Externí odkaz:
https://doaj.org/article/53bda328a4dc416fa079f947a881d8b8
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Fault-tolerant quantum computation is still far, but there could be ways in which quantum error correction could improve currently available devices. Here, the authors show how to exploit existing quantum codes through only post-processing and random
Externí odkaz:
https://doaj.org/article/d2608a6c9b214b8fad01948f48bffe43
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-6 (2018)
Gradient-based hybrid quantum-classical algorithms are often initialised with random, unstructured guesses. Here, the authors show that this approach will fail in the long run, due to the exponentially-small probability of finding a large enough grad
Externí odkaz:
https://doaj.org/article/2d565792ea6b4691bd7767c8d897c439