Josephson ladders as a model system for 1D quantum phase transitions
Josephson ladders as a model system for 1D quantum phase transitions
复制标题
约瑟夫森梯子作为一维量子相变的模型系统
DOI:
10.1016/j.crhy.2018.09.002
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发表时间:
2018
影响因子:
1.4
通讯作者:
Petković, Aleksandra
中科院分区:
文献类型:
--
作者:
Bell, Matthew T.;Douçot, Benoît;Gershenson, Michael E.;Ioffe, Lev B.;Petković, Aleksandra
The idea of quantum simulations emerged in the early 1980s out of the realization of the fundamental difficulty of emulating complex quantum system using classical computers. Over time, this idea has evolved into a sub-field of quantum computing [1]. Similar to the quantum computers, quantum simulators are based on the networks of quantum bits (qubits), but, in contrast to the fully-fledged quantum computers, quantum simulators do not employ discrete gate operations and error correction codes. The quantum simulators with tunable parameters are designed to emulate only certain types of Hamiltonians. However, it is possible to show that a very general Hamiltonian can be simulated by a seemingly restricted class of spin chains with XX and YY interactions [2, 3]. One hopes that such simulators will facilitate designing novel quantum systems and exploring phenomena and regimes inaccessible in the past. Furthermore, quantum simulators enable the experimental study of quantum annealing in the context of adiabatic quantum computation. Modern quantum simulators are based on several platforms, which include cold atoms [4, 5], cold ions [6], and superconducting qubits [7]. Our research focuses on designing artificial spin systems–tunable 1D Josephson arrays with controlled interactions–that emulate the quantum 1D models. The integrable model of a 1D Ising spin chain in the transverse magnetic field serves as a paradigm in the context of nonequilibrium thermodynamics and quantum critical phenomena [8, 9]. Both the transverse field Ising and XY models, being relevant to a broad range of physical systems, played a crucial role in the understanding of quantum phase transitions [9]. These models have generated a formidable body of theoretical activity over the past fifty years. Recently, these models played a crucial role in the development of quantum annealing techniques and adiabatic quantum algorithms [10].In the past, the experimental study of quantum spin dynamics in 1D has been largely limited to microscopic spins in condensed-matter systems. It has been demonstrated that such quasi-1D spin materials as LiHoF4 and CoNb2O6 can be continuously tuned across the quantum phase transition (QPT)[11–13]. Though these works opened up new vistas in the studies of transverse field Ising model, the experimental realization of 1D quantum spin models in well-controllable and tunable systems remains a challenge. Indeed, as an experimental tool, the quasi-1D spin systems in solids are limited in several respects:(i) the inter-chain interactions are not negligibly weak, and, thus, these systems are inevitably quasi-1D,(ii) the exchange interactions between the nearest-neighbor spins cannot be varied,(iii) the exchange interactions are the same for all pair of spins, which does not allow for exploring the effect of disorder and phase boundaries without adding a significant amount of impurities, and (iv) the available experimental tool for these systems–scattering of neutrons–interacts only with a narrow class of excitations. Flexibility in the design of artificial spin systems, which are free from these limitations, facilitates bridging the gap between the theoretical study of ideal spin chains and the experimental investigation of bulk magnetic samples. In particular, this flexibility allows one to address an important issue of the effects of disorder on the statics and dynamics of transverse field spin models. Recently, the transverse-field Ising model was realized in the chain of artificial and fully-controllable spins–eight flux qubits with tunable spin–spin couplings [10]. We pursue a similar approach using specially designed one-dimensional Josephson ladders …
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影响因子:
3.4
作者:
J. Braumüller
通讯作者:
J. Braumüller
影响因子:
64.8
作者:
Azurenko, Anton M.;Chiu, Christie S.;Greiner, Markus
通讯作者:
Greiner, Markus
影响因子:
8.6
作者:
Bell, M. T.;Sadovskyy, I. A.;Gershenson, M. E.
通讯作者:
Gershenson, M. E.
影响因子:
8.6
作者:
M. Bell;J. Paramanandam;L. Ioffe;M. Gershenson
通讯作者:
M. Gershenson
影响因子:
8.6
作者:
Matthew Bell;Matthew Bell;Wenyuan Zhang;Lev Ioffe;Lev Ioffe;Michael Gershenson
通讯作者:
Michael Gershenson