Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Garrison, James R."'
Answering whether quantum computers can efficiently simulate quantum field theories has both theoretical and practical motivation. From the theoretical point of view, it answers the question of whether a hypothetical computer that utilizes quantum fi
Externí odkaz:
http://arxiv.org/abs/1911.03505
Autor:
Eldredge, Zachary, Zhou, Leo, Bapat, Aniruddha, Garrison, James R., Deshpande, Abhinav, Chong, Frederic T., Gorshkov, Alexey V.
Publikováno v:
Phys. Rev. Research 2, 033316 (2020)
There are many possible architectures of qubit connectivity that designers of future quantum computers will need to choose between. However, the process of evaluating a particular connectivity graph's performance as a quantum architecture can be diff
Externí odkaz:
http://arxiv.org/abs/1908.04802
Autor:
Liu, Fangli, Whitsitt, Seth, Curtis, Jonathan B., Lundgren, Rex, Titum, Paraj, Yang, Zhi-Cheng, Garrison, James R., Gorshkov, Alexey V.
Publikováno v:
Phys. Rev. Research 2, 013323 (2020)
We use Nielsen's geometric approach to quantify the circuit complexity in a one-dimensional Kitaev chain across a topological phase transition. We find that the circuit complexities of both the ground states and non-equilibrium steady states of the K
Externí odkaz:
http://arxiv.org/abs/1902.10720
Publikováno v:
Phys. Rev. Lett. 123, 115701 (2019)
The study of quantum phase transitions requires the preparation of a many-body system near its ground state, a challenging task for many experimental systems. The measurement of quench dynamics, on the other hand, is now a routine practice in most co
Externí odkaz:
http://arxiv.org/abs/1809.06377
Publikováno v:
Phys. Rev. Lett. 121, 250404 (2018)
We study the non-equilibrium dynamics of Abelian anyons in a one-dimensional system. We find that the interplay of anyonic statistics and interactions gives rise to spatially asymmetric particle transport together with a novel dynamical symmetry that
Externí odkaz:
http://arxiv.org/abs/1809.02614
Autor:
Bapat, Aniruddha, Eldredge, Zachary, Garrison, James R., Desphande, Abhinav, Chong, Frederic T., Gorshkov, Alexey V.
Publikováno v:
Phys. Rev. A 98, 062328 (2018)
The construction of large-scale quantum computers will require modular architectures that allow physical resources to be localized in easy-to-manage packages. In this work, we examine the impact of different graph structures on the preparation of ent
Externí odkaz:
http://arxiv.org/abs/1808.07876
Autor:
Tran, Minh C., Guo, Andrew Y., Su, Yuan, Garrison, James R., Eldredge, Zachary, Foss-Feig, Michael, Childs, Andrew M., Gorshkov, Alexey V.
Publikováno v:
Phys. Rev. X 9, 031006 (2019)
The propagation of information in non-relativistic quantum systems obeys a speed limit known as a Lieb-Robinson bound. We derive a new Lieb-Robinson bound for systems with interactions that decay with distance $r$ as a power law, $1/r^\alpha$. The bo
Externí odkaz:
http://arxiv.org/abs/1808.05225
Autor:
Chu, Su-Kuan, Zhu, Guanyu, Garrison, James R., Eldredge, Zachary, Curiel, Ana Valdés, Bienias, Przemyslaw, Spielman, I. B., Gorshkov, Alexey V.
Publikováno v:
Phys. Rev. Lett. 122, 120502 (2019)
The multi-scale entanglement renormalization ansatz (MERA) postulates the existence of quantum circuits that renormalize entanglement in real space at different length scales. Chern insulators, however, cannot have scale-invariant discrete MERA circu
Externí odkaz:
http://arxiv.org/abs/1807.11486
Publikováno v:
Phys. Rev. A 96, 052334 (2017)
Lieb and Robinson provided bounds on how fast bipartite connected correlations can arise in systems with only short-range interactions. We generalize Lieb-Robinson bounds on bipartite connected correlators to multipartite connected correlators. The b
Externí odkaz:
http://arxiv.org/abs/1705.04355
Publikováno v:
Phys. Rev. Lett. 119, 140502 (2017)
Tensor networks impose a notion of geometry on the entanglement of a quantum system. In some cases, this geometry is found to reproduce key properties of holographic dualities, and subsequently much work has focused on using tensor networks as tracta
Externí odkaz:
http://arxiv.org/abs/1704.01974