
| Msg # 237 of 1212 on ZZNY4444, Thursday 9-28-22, 3:57 |
| From: ROCCO A. SERVEDIO |
| To: ALL |
| Subj: Two talks this week: Krysta Svore and Da |
8c469b1f
XPost: cs.bboard, columbia.general.bboard
From: rocco@news.cs.columbia.edu
Columbia's own Krysta Svore will be speaking on Wed at 10:00am (CS
Conference Room) in a Quantum/Theory seminar.
And Columbia's own David Phillips will be speaking on Thurs at 2:30 (CS
Conference Room) in a Theory seminar.
Abstracts for both talks are below. Hope to see you there!
-- Rocco
****************************************
QUANTUM/THEORY SEMINAR
10:00am, Wednesday, March 30, 2005
CS Conference Room
Title: "Pseudothreshold or threshold? - Identifying quantum
fault-tolerance thresholds"
Speaker: Krysta Svore
Department of Computer Science
Columbia University
Joint work with Andrew Cross and Isaac Chuang, MIT
ABSTRACT
Being able to determine a true threshold value for quantum gates is
critical for fault-tolerant quantum computing. We analyze and study
pseudothresholds, that is, fault-tolerant threshold results which may
not indicate the true threshold value, and their relation to more
accurate fault-tolerance thresholds. We expand upon the definition of
pseudothreshold and identify several properties of fault-tolerance studies
that can lead to a pseudothreshold result. We show differences between
a pseudothreshold and a more accurate threshold result for both classical
and quantum error correcting codes. This difference can be more than an
order of magnitude. Our goal is to emphasize the need for higher levels
of concatenation and the consideration of more parameters in a threshold
analysis to obtain a more reliable threshold result.
****************************************
THEORY SEMINAR
2:30pm, Thursday, March 31, 2005
CS Conference Room
Title: "Approximation Algorithms for Semidefinite Packing Problems with
Applications to Max-Cut and Graph Coloring"
Speaker: David Phillips
IEOR
Columbia University
ABSTRACT
We describe the semidefinite analog of the vector packing problem, and
show that the semidefinite programming relaxations for MAXCUT [Goemans and
Williamson (1995)] and graph coloring [Karger, Motwani and Sudan (1998)]
are in this class of problems. We extend a method of Bienstock and Iyengar
(2004) which was based on ideas from Nesterov (2003) to design an
algorithm for computing $\\epsilon$-approximate solutions for this class of
semidefinite programs. Our algorithm is in the spirit of Klein and Lu
(1996), and decreases the dependence of the run-time on $\\epsilon$ from
$\\epsilon^{-2}$ to $\\epsilon^{-1}$. For sparse graphs, our method is
faster than the best specialized interior point methods. A significant
feature of our method is that it treats both the MAXCUT and the graph
coloring problem in a unified manner.
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