Engineered selection rules for tunable coupling in a superconducting quantum circuit

2009 ◽  
Vol 79 (2) ◽  
Author(s):  
K. Harrabi ◽  
F. Yoshihara ◽  
A. O. Niskanen ◽  
Y. Nakamura ◽  
J. S. Tsai
2003 ◽  
Vol 40 (12) ◽  
pp. 1014-1018 ◽  
Author(s):  
Shigeki TOKITA ◽  
Yasukazu IZAWA ◽  
Hideaki NIKI ◽  
Fumiyoshi KUWASHIMA

2019 ◽  
Vol 7 (1) ◽  
pp. 120-137 ◽  
Author(s):  
Mindaugas Jurkynas

AbstractThe article discusses conceptualisation of populism, Lithuania’s party system and electoral dynamics and their relation to the sustainability of populist parties. Special attention is given to Party Order and Justice, a former populist and protest party, and its leadership, namely to the issues related to scope and competencies of a leader’s intra-partisan power, leadership selection rules and history, development of leaders’ political careers and their electoral activity. The L ithuanian party system now exhibits moderate fragmentation without centrifugal tendencies. Voter volatility is still relatively high, yet the share of new parties has dropped to zero. The protest and populist parties in Lithuania went into the margins of political establishment. Popularity of the Order and Justice party has long been connected to the formerly impeached president Rolandas Paksas. His long-term leadership in the face of plummeting electoral support and an emphasis on his political martyrdom resulted in poor electoral performances, ensuing internal squabbles and his departure. Party Order and Justice’s internal regulations, however, remained favourable to strong leadership.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Israel F. Araujo ◽  
Daniel K. Park ◽  
Francesco Petruccione ◽  
Adenilton J. da Silva

AbstractAdvantages in several fields of research and industry are expected with the rise of quantum computers. However, the computational cost to load classical data in quantum computers can impose restrictions on possible quantum speedups. Known algorithms to create arbitrary quantum states require quantum circuits with depth O(N) to load an N-dimensional vector. Here, we show that it is possible to load an N-dimensional vector with exponential time advantage using a quantum circuit with polylogarithmic depth and entangled information in ancillary qubits. Results show that we can efficiently load data in quantum devices using a divide-and-conquer strategy to exchange computational time for space. We demonstrate a proof of concept on a real quantum device and present two applications for quantum machine learning. We expect that this new loading strategy allows the quantum speedup of tasks that require to load a significant volume of information to quantum devices.


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