presentations
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Presentations. Basics. Importance of presentations. Real world -- Often more important than: quality of work done importance of discovery or invention Major factor in: salary promotions opportunities. Elements of technical presentations. Must include sales pitch - PowerPoint PPT PresentationTRANSCRIPT
Presentations
Basics
Importance of presentations
• Real world -- Often more important than: – quality of work done– importance of discovery or invention
• Major factor in:– salary– promotions– opportunities
Elements of technical presentations
• Must include sales pitch– Why should audience listen– Preferably also in title
• Must start out with excitement– All technical details come later
• Should be brief– Real-world -- 20 minutes is very long time
Sales pitch• Know your audience• Example -- presentation to boss
– find out background• highest degree, major, thesis title?• look up resume, publications, patents
– find out goals • examples: get rich quick, grow company
• Example -- presentation to customer– find out customer needs
• research details of customer business• past and current problems• anticipate future problems -- ex: competitors
Excitement
• Concentrate on important problem
• Example -- presentation to boss– sales trend over the past year
• Example -- presentation to customer– competitors latest advances
Technical details
• Describe new concepts by analogy– Example -- presentation to boss
• choose examples from boss’ field of expertise
– Example -- presentation to customer• choose examples from customers business
Detailed example• Presentation of design and performance of laser intensity servo• Audience: DVD manufacturer• Sales pitch:
– Want faster data rates? -- Use more stable laser.
• Excitement: – Ten-fold increase in data rate (projected)
• Technical details:– data rate limited by ability to recognize time-domain signal
– laser intensity noise:
» distorts signals, changes threshold levels, can give false signals
– laser intensity servo reduces noise by factor of 10 or more
» fixed data rate -- better bit error rate
» fixed bit error rate -- faster data rate
– project factor of 10 increase in data rate
• Choose title: Super-laser for ultra-fast DVD readout
Super-laser for ultra-fast DVD readout
• Stop!• Don’t put that noisy laser in your quiet DVD reader• Make your laser a “super-laser”
• Compatible with existing DVD designs• Field installable upgrade
Problem (including background info) • Fast DVD readout system
– discriminate among code words in a set
– faster than reading individual bits
– not simple threshold -- correlation
– intensity noise can distort
Code word recognition
idealactual
threshold
Resolved bits
ideal actual threshold
signal #1
intensitynoise
signal + noise
Compare to signal #2
Effects of intensity noise
signal #1
signal #2
Solution (note use of graphics)• Add-on intensity servo
• Suppresses noise factor of 10
• Ultra-high speed data
• Original noise prevents discrimination
• Reduced noise allows discrimination
High speed data
idealactual
Ultra high speed data
idealactual
Originalintensitynoise
Word #1
Word #2
Word #1
Word #2
Reducedintensitynoise
Design details (example customer knows)
• Put AOM in laser path• Undeflected beam:
– no change in alignment
– attenuated by increase in rf power
• Alternative: control current to laser diode– mode hops, frequency chirping ?
rf
reference
detector
Stable intensity
Laserdiode lens
DVD
readoutdetector
Back-scatter
deflectedAOM
Conclusion (take-away message)
• Super-laser performance w/o super laser– Add-on intensity servo
• Order or magnitude increase in data rate
• Field upgradable
• Technical details– exist, but not exciting
Second example
• Type II quantum computers– illustrated importance of inventing names
– audience will pay attention at least 3 min to find out what it means
– enough time for motivation
Type II quantum computing• Problem:
– Moore’s law in trouble• cannot continue to shrink existing technology
– But need Moore’s law to maintain superiority• commercial, military
• Solution:– See what a few atoms can do
• Scale up
– Quantum computing• Exponential speedup possible
Quantum computer types• Type I = standard quantum computer
– Shor’s, Grover’s, etc.
• Problem:– Must have 100’s of qubits to do anything real
– After 10 years -- experiments lucky to get 2• scalable design
– Will take too long to get to market• Technology area will die
• Solution:– Type II quantum computer
• Large array of small quantum computers (nodes)• Classical interconnects
– Even 2 qubits per node can do interesting problems• short-term product• upgradable -- each qubit per node doubles comp. power• directly scalable to Type I quantum computer
N QUBITS/NODE
M NODES
CLASSICALINTERCONNECTS
TYPE II QUANTUM COMPUTER
Implementation • Technical details
– Use spins in solids• Solid-state -- scalable
• Spins -- long lifetime
– Problem with spins • Isolated (long lifetime, difficult to excite)
– Solution -- use optical Raman dark states• Best of both worlds
– strong optical dipole coupling– no effect on spin lifetime
• Specifics– Use array of nitrogen-vacancy complexes in diamond (NV
diamond)
LASER ILLUM. LENS
PIXEL-REGISTEREDPHOTON COUNTER ARRAY
N-V ARRAY
Type II Q.C. in NV diamond
SAMPLEN-V DIAMOND ARRAY(J. MARTIN, ET.AL., APL 75, 1999)
Conclusion
• Type II Q.C. solves biggest problem w/ Q.C.– can get to market fast
• existing designs good enough to start
– can upgrade on qubit at a time (per node)
– can upgrade to Type I when technology ready
• Implement with NV diamond
Third example
• Ultra-slow and stopped light– illustrates importance of popular appeal
– applications existed, but foreshadowed by sci-fi factor• sounded like the impossible was now possible
Ultra-slow light
• Light speed: c = 186,000 mi/sec– strange things happen near v = c
• What if light moved at terrestrial speeds ?
• Light pulse slowed to speed of (racing) bicycle
Stopped light: Quantum storage• Moore’s law applies to memory too
– Memory will reach limit first: ~10YRS • Sign that the end is near
– Refrigerated hard drives• Quantum computers need memory
– Try running PC without RAM
MOORE’S LAW FOR INTEGRATED CIRCUITS
HARD DISK MEMORY BIT SPACING
Phy
sica
l spa
cing
, nm
100
10
1
Year 92 94 96 98 2000 02 04
Slow light basics• Group velocity is speed of information transfer
– Can be different than phase velocity
• Example: near steep refractive index dispersion– transparency has correct sign
PROBE DETUNING(arb. units)
0
0.5
1
AB
SO
RP
TIO
N
-0.5
0
0.5
RE
AL
PA
RT
of
Ultra-slow light in a solid
SIMPLIFIEDLEVEL DIAGRAM
17.3 MHz
10.2
4.64.8
±1/2
±1/2±3/2±5/2
±3/2
±5/2
3H4
1D2
COUPLING
PROBE
REPUMP
-1100%
0%
PR
OB
E T
RA
NS
.
PROBE DETUNING (MHz)-2 1 20
TRANSPARENCY
Pr: Y2SiO5
0 100 200 sec
Tra
nsm
itte
d P
robe
(%
)
0
12
Slowed lightIncomplete absorptionof probe
Input probe beam (x0.25)
SLOW LIGHT DEMO
• Delay = 100 sec = 33 m/s (70 mph)
Stopped light in a solid• Solid state material better for storage applications• Technical details:
– Control laser intensity determines light speed– Zero intensity stops the light pulse– Restore control laser to recover stopped light
Tra
nsm
issi
on (
%)
Delay Time (sec)3000 100 200 400
0
12
6Control laser
Slow light
Stopped light
Conclusion
• Ultra slow and stopped light– Works in a solid too
• Excellent potential for quantum storage