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December 11, 2009

Topics

Filed under: Computer Science, Python — ivan @ 9:29 pm

So I ran Newman’s Gibbs sampler for LDA on a subset of 2000 documents from the arXiv and lo and behold already in such a small set we start to see useful topic descriptions …

general QM topics
[t1] operator function equation space phy form exp quantum relation hamiltonian representation solution …
[t2] set vector operator matrix theorem space element basis map unitary product group …

Cavity QED?
[t3] field atom cavity level frequency phy atomic fig rev ion laser transition …

Non locality
[t4] states entanglement phy entangled rev lett pure system bell local qubit mixed …

Quantum error correcting codes
[t5] qubit quantum error operation computation control gate spin number gates circuit computer …

Quantum optics
[t6] photon mode measurement phase beam rev fig phy single detector noise coherent …

Quantum information theory and crypto
[t7] quantum information bob alice algorithm classical protocol probability channel bit measurement problem …

other general….
[t8] wave cos sin potential spin function particle energy equation case electron momentum …
[t9] quantum theory measurement probability mechanic physical system space experiment classical particle physic …
[t10] system quantum evolution model hamiltonian phy dynamic initial classical decoherence density interaction …

very cool…


December 9, 2009

This is the “sector” I want to do business in

Filed under: Latex, Business — ivan @ 1:25 am

Page description languages are things that represent documents in their final state before being printed.

Typesetting is the process of taking text and other objects and placing them on the page. I want to be part of that too.

Document editing is the yet another step where UI is most important. Is the user looking at a WYSIWYG editor, a textbox or something else? How does the user specify advanced object placement like where the images should be (.css, GUI drag and drops + anchor property, auto placement).

The last part is the most difficult since it is “user facing” and users are tough. A simple web-app can do part of the job, but will it be rich enough for people to use on a daily basis?


December 4, 2009

Some preliminary data

Filed under: Uncategorized — ivan @ 9:53 pm

I have made some quick and dirty python scripts that pre-process the data and do word counts and stuff.

So what are the most common words in the quant-ph archive you ask?
I will tell you:

−: 1253258
quantum: 1032288
state: 771350
states: 526110
phys: 472165
′: 314547
rev: 314138
case: 290811
time: 275361
⊗: 265360
given: 250123
∈: 230365
classical: 227792
entanglement: 226789
√: 226364
function: 215156
probability: 202619
measurement: 200275
space: 198295
number: 183500
operator: 181285
information: 180537
≤: 179006
theory: 177048
using: 173562
→: 172383
field: 169933
let: 168678
set: 167987
lett: 167221
matrix: 161176
equation: 159644
phase: 158113
form: 153518
first: 153348
fig: 152554
−1: 148205
operators: 139977
following: 131146
systems: 128620

I REALLY like how tensor product (⊗) made it into the top.
Now I better start reading the LDA papers.