3,470 research outputs found
The Wigner solution of quark gap equation at nonzero current quark mass and partial restoration of chiral symmetry at finite chemical potential
According to the generally accepted phase diagram of QCD, at low temperature
and high baryon number density the chiral phase transition of QCD is of first
order and the co-existence of the Nambu-Goldstone phase and the Wigner phase
should appear. This is in conflict with the usual claim that the quark gap
equation has no Wigner solution in the case of nonzero current quark mass. In
this paper we analyze the reason why the Wigner solution does not exist in the
usual treatment and try to propose a new approach to discuss this question. As
a first step, we adopt a modified Nambu-Jona-Lasinio (NJL) model to study the
Wigner solution at finite current quark mass. We then generalize this approach
to the case of finite chemical potential and discuss partial restoration of
chiral symmetry at finite chemical potential and compare our results with those
in the normal NJL model.Comment: 7 pages, 5 figures, and 1 table, discussion at finite chemical
potential adde
Generalized Simple Regenerating Codes: Trading Sub-packetization and Fault Tolerance
Maximum distance separable (MDS) codes have the optimal trade-off between
storage efficiency and fault tolerance, which are widely used in distributed
storage systems. As typical non-MDS codes, simple regenerating codes (SRCs) can
achieve both smaller repair bandwidth and smaller repair locality than
traditional MDS codes in repairing single-node erasure.
In this paper, we propose {\em generalized simple regenerating codes} (GSRCs)
that can support much more parameters than that of SRCs. We show that there is
a trade-off between sub-packetization and fault tolerance in our GSRCs, and
SRCs achieve a special point of the trade-off of GSRCs. We show that the fault
tolerance of our GSRCs increases when the sub-packetization increases linearly.
We also show that our GSRCs can locally repair any singe-symbol erasure and any
single-node erasure, and the repair bandwidth of our GSRCs is smaller than that
of the existing related codes
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
Creating visual layouts is a critical step in graphic design. Automatic
generation of such layouts is essential for scalable and diverse visual
designs. To advance conditional layout generation, we introduce BLT, a
bidirectional layout transformer. BLT differs from previous work on
transformers in adopting non-autoregressive transformers. In training, BLT
learns to predict the masked attributes by attending to surrounding attributes
in two directions. During inference, BLT first generates a draft layout from
the input and then iteratively refines it into a high-quality layout by masking
out low-confident attributes. The masks generated in both training and
inference are controlled by a new hierarchical sampling policy. We verify the
proposed model on six benchmarks of diverse design tasks. Experimental results
demonstrate two benefits compared to the state-of-the-art layout transformer
models. First, our model empowers layout transformers to fulfill controllable
layout generation. Second, it achieves up to 10x speedup in generating a layout
at inference time than the layout transformer baseline. Code is released at
https://shawnkx.github.io/blt.Comment: ECCV 202
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