Titlebook: Quantum Quenching, Annealing and Computation; Anjan Kumar Chandra,Arnab Das,Bikas K. Chakrabarti Book 2010 Springer-Verlag Berlin Heidelbe

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,Roles of Quantum Fluctuation in Frustrated Systems – Order by Disorder and Reentrant Phase Transitiere all the interactions are satisfied energetically. Because the ground states in regularly frustrated classical systems have many energetically . interactions, there are many degenerated ground states and the residual entropy is larger than that of unfrustrated systems. Figure 10.1 shows the groun

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Phase Transition in a Quantum Ising Model with Long-Range Interaction,asonable success. In the “classical” version of this model, one has in general a set of lattice sites and to each site is associated a variable called spin which can assume the values .. For a system of . sites, there can hence be 2. possible configurations.

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,Length Scale-Dependent Superconductor–Insulator Quantum Phase Transitions in One Dimension: Renormaystem [1]. The quantum fluctuations are controlled by system parameters such as the charging energies and Josephson couplingsof the Josephson junctionarray [2]. Here we present a field-theoretical renormalization group study to find the quantum dissipative phases of a lumped superconducting quantum

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Probabilistic Model of Fault Detection in Quantum Circuits,shed quantum computing as a superior future technology. Each of these processes involves quantum circuits, which are prone to different kinds of faults. Consequently, it is important to verify whether the circuit hardware is defective or not. The systematic procedure to do so is known as fault testi

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Quantum Phase Transition in the Spin Boson Model,itical point (QCP) that intervenes between two quantized Hall plateaux. Other examples of QPT include the ferromagnetic transition in metallic magnets as a function of applied pressure and the superconducting transition in thin films.

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,Quantum-Mechanical Variant of the Thouless–Anderson–Palmer Equation for Error-Correcting Codes,imori [5] and Nishimori and Wong [6]. Kabashima and Saad succeeded in constructing more practical codes, namely low-density parity check (LDPC) codes by using the infinite range spin glass model with finite connectivities [7]. They used the so-called TAP (Thouless–Anderson–Palmer)equations to decode the original message for a given parity check.