scholarly journals Theory of strongly phase fluctuating d-wave superconductors and the spin response in underdoped cuprates

2004 ◽  
Vol 408-410 ◽  
pp. 414-415 ◽  
Author(s):  
Igor F. Herbut
Keyword(s):  
Spin Response ◽  
Underdoped Cuprates ◽  
D Wave

scholarly journals Theory of the Leading Edge Gap in Underdoped Cuprates

1998 ◽  
Vol 12 (29n31) ◽  
pp. 2990-2994
Author(s):  
Andrey V. Chubukov
Keyword(s):  
Normal State ◽  
Leading Edge ◽  
Wave State ◽  
As Doping ◽  
Wave Pairing ◽  
Underdoped Cuprates ◽  
Pairing Problem ◽  
D Wave

We present the theory of the leading edge gap in the normal state of underdoped high-T c materials. The consideration is based on a magnetic scenario for cuprates. We show that as doping decreases, the increasing interaction with paramagnons gives rise to a near destruction of the quasiparticle peak near (0, π) and symmetry related points. We then solve the d-wave pairing problem and show that the actual T c decreases with the strength of the coherent quasiparticle peak, but the precursors to d-wave state exist above T c even for fully incoherent quasiparticles.

scholarly journals INTERPLAY OF D-WAVE SUPERCONDUCTIVITY AND ANTIFERROMAGNETISM IN THE CUPRATE SUPERCONDUCTORS: PHASE SEPARATION AND THE PSEUDOGAP PHASE DIAGRAM

2005 ◽  
Vol 19 (25) ◽  
pp. 1295-1302 ◽  
Author(s):  
W. P. SU
Keyword(s):  
Phase Diagram ◽  
Phase Separation ◽  
Cuprate Superconductors ◽  
Nearest Neighbor ◽  
Superconducting Transition ◽  
Zero Temperature ◽  
Pseudogap Phase ◽  
Underdoped Cuprates ◽  
D Wave ◽  
Interaction Free Energy

To understand the interplay of d-wave superconductivity and antiferromagnetism in the cuprates, we consider a two-dimensional extended Hubbard model with nearest neighbor attractive interaction. Free energy of the homogeneous (coexisting superconducting and antiferromagnetic) state calculated as a function of the band filling shows a region of phase separation. The phase separation caused by the intersite attractive force leads to novel insights into salient features of the pseudogap phase diagram. In particular, the upper crossover curve can be identified with the phase separation boundary. At zero temperature, the boundary constitutes a critical point. The inhomogeneity observed in the underdoped cuprates is a consequence of incomplete phase separation. The disorder (inhomogeneity) brings about the disparity between the high pseudogap temperature and the low bulk superconducting transition temperature.

scholarly journals d-Wave superconductivity as a catalyst for antiferromagnetism in underdoped cuprates

2010 ◽  
Vol 12 (5) ◽  
pp. 053043 ◽  
Author(s):  
Markus Schmid ◽  
Brian M Andersen ◽  
Arno P Kampf ◽  
P J Hirschfeld
Keyword(s):  
Underdoped Cuprates ◽  
D Wave

scholarly journals GAUGE INVARIANT DRESSED HOLON AND SPINON IN DOPED CUPRATES

2003 ◽  
Vol 17 (09) ◽  
pp. 361-373 ◽  
Author(s):  
SHIPING FENG ◽  
TIANXING MA ◽  
JIHONG QIN
Keyword(s):  
Charge Transport ◽  
Hard Core ◽  
Degree Of Freedom ◽  
Gauge Invariant ◽  
Spin Degree ◽  
Novel Approach ◽  
Spin Response ◽  
Underdoped Cuprates ◽  
Charge Degree ◽  
Charge Degree Of Freedom

We develop a partial charge-spin separation fermion-spin theory implemented by the gauge invariant dressed holon and spinon. In this novel approach, the physical electron is decoupled as the gauge invariant dressed holon and spinon, with the dressed holon behaviors like a spinful fermion, and represents the charge degree of freedom together with the phase part of the spin degree of freedom, while the dressed spinon is a hard-core boson, and represents the amplitude part of the spin degree of freedom, then the electron single occupancy local constraint is satisfied. Within this approach, the charge transport and spin response of the underdoped cuprates is studied. It is shown that the charge transport is mainly governed by the scattering from the dressed holons due to the dressed spinon fluctuation, while the scattering from the dressed spinons due to the dressed holon fluctuation dominates the spin response.

scholarly journals D wave bottomonia production from Zb(′) decay

2020 ◽  
Vol 102 (11) ◽  
Author(s):  
Qi Wu ◽  
Dian-Yong Chen ◽  
Takayuki Matsuki
Keyword(s):  
D Wave

scholarly journals Using Machine Learning for Quantum Annealing Accuracy Prediction

Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 187
Author(s):  
Aaron Barbosa ◽  
Elijah Pelofske ◽  
Georg Hahn ◽  
Hristo N. Djidjev
Keyword(s):  
Machine Learning ◽  
Maximum Clique ◽  
Classification Model ◽  
Maximum Clique Problem ◽  
Problem Instance ◽  
Np Hard ◽  
Machine Learning Classification ◽  
Hard Problems ◽  
Problem Instances ◽  
D Wave

Quantum annealers, such as the device built by D-Wave Systems, Inc., offer a way to compute solutions of NP-hard problems that can be expressed in Ising or quadratic unconstrained binary optimization (QUBO) form. Although such solutions are typically of very high quality, problem instances are usually not solved to optimality due to imperfections of the current generations quantum annealers. In this contribution, we aim to understand some of the factors contributing to the hardness of a problem instance, and to use machine learning models to predict the accuracy of the D-Wave 2000Q annealer for solving specific problems. We focus on the maximum clique problem, a classic NP-hard problem with important applications in network analysis, bioinformatics, and computational chemistry. By training a machine learning classification model on basic problem characteristics such as the number of edges in the graph, or annealing parameters, such as the D-Wave’s chain strength, we are able to rank certain features in the order of their contribution to the solution hardness, and present a simple decision tree which allows to predict whether a problem will be solvable to optimality with the D-Wave 2000Q. We extend these results by training a machine learning regression model that predicts the clique size found by D-Wave.

d-wave superconductor as a model of high-Tcsuperconductors

1994 ◽  
Vol 49 (2) ◽  
pp. 1397-1402 ◽  
Author(s):  
Hyekyung Won ◽  
Kazumi Maki
Keyword(s):  
D Wave
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