emnlp2001

emnlp2001

Course Number: CS 2001, Fall 2008

College/University: Cornell

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~ nz (i~ & %$""'4 xw s v t z s d2Ad %p4 zn | ox q r o m%2mmdymmd%)%pm4d)%dps y o s { ox o | x z y v r n n o | v r n z %im23%i6mpd%mh%dps ow v z ~ n o }w | | rx { vw r n z %Am23%A6mpd%mh%dps ow v z ~ n o }w | | rx { vw r n o v z y xw s v t s r o q o %)Ap2u'mWydn PWW&by g bgP yg9b P bgpgbtb bgg P bgbP b1 gg gb g9gPWgP g yb g gPgP bgb0be5g bgPg (ggt 2Pg gPgxg PbbPg gb$ $Pg92 f2bcbaYWTRupsrphYTRP e d ` ` XV US Q P t gq i gVV Q P ggbb 7 Pggbg PbbHP( gbgPPgEggPb0Pb ggEP(Pg gbgPb Rggb 0Pyg gPgbeg bPb gbEgPP gtbP bgb(g PgPh ggPbtggPgbbb g (pP bggbgPg2gWgPbPBgP b &gbPgPgP gcP bgbPg bb g zgbgxbP gggb Pg9gWg PgpcygWggHb t ge&P bgggggPggPb P bg bg9tgb$gPcPggPcg b1 PWggPggg(bRPbPg g Pg9bPb& gWPgHg$ 0 t & gP PgbPb PgRgb W WPgg(P g gbeg Pbggg9gggVgPb!P4ggcg P P g gPb RtgggbPPgv EPgbt R0gP9g gPg' b1Pgyb P gg9P9P g ggyPgbt H!Wbgb!Pb& P g g&gbgW P gPgzgbPg ggbbgPP bggE(Pt tbgPtg Pg2gg (gb$gPPgxgggPgggeB P g7bbPg0P gP bb PgH2bg'PPbbtP gPg gbPbgbP gb PgWb$bPb&gg &tgb$gP g gP ggb7$Pg2 gggbg E Wbe2g PPegPg W2b P gtggtb PbPg g PgbPb!cP gctgtbcegPgb PbbPg tggPgtggP gP b RgPvbPbP gPgP bg bEgbbgPPgP P BgggP9Pgg ggggby gggPggcP bPg g7P $gbPg9bPb Pg!bgg bHbPggPgyb$&gP gP ggb PgcbPbcPgvb g vbgBP Wg tggPP bb e d ` ` XV US Q Pgz'BgggbgP2PgbgPbc f2bcbaYWTRP gg 0gPgbWggbPgPb gtyPPbPgPbgPgHggPyg9P gtyP b A gbb 9 bb BP gPg d F h Q a c G F QV a vh r Q F Q a YHd1HPHYd"p%HHd1X wV a Yd'PF QSc Se F %R'j Q X f Q G S F F r Q F q X e F G S Q v F q c a Q v ch e FV F '%%Hx2%H"P%%PH"HPP%dyH%pPYP2f w a V gV Q q F G G S q ch e G a q vh e gV `h v S vV a duYHPPHHxP'YkHHY'Y%pHuHYdY%Pd%%r eV X S q c a ` X r F x P bgbygP0 g g gg P(PbbcPg9gHb gbbgP9 vbW2P bWgbbPP Pg BgPgbBgg'(PgbxbPWg gPg gp(Pg7P gbWtP7Pgagg7gPg g gvP bgb9ggggbPPg g y gggb (g PbP gggb&b PPgP 9bgbbbg&P bP g0g bbBtgb$gP g2b TbBgb72PgbbPP Wtxggg gx2Pb g WgbgbcbPgvbbPg bbPg ggyPbgggPgg 9bgg P ggggg g7PgbPb PbPb P ( gPgPg Pgbtt2 t g 'ggg9PgggPggPbRbPgg PggPg 0 P 9g gc P TbgP ggb gW'gP7bgbPPW Ptg1g bE gg gt P bgbb bP b P gWWPgtbgPgbP bPggPgvyg g gPgP gg nwvP g yPHg g9gP P ggb!P g&Pbggt bgbP gR ( ) gbbb i bbb bgE PWggtb 'RgPgbP gzWg 2P ggb(b2ggPP g Pb R i 0.86 0.87 0.88 0.89 Accuracy 0.91 0.92 0.93 0.94 0.95 0.96 0.9 Accuracy 8 PPggPb$bbgbgPcggEP ggbggPgPgb$ P9g gP'bPbPg2 P bP&P gg Pg'b gbg gb gP bgPgbPgvWWbebbWP$PgP 9gggbPg 'Pgtgtb egPgbPgPggP bgcbgPgP(P bgbbbgP&P g Pb R ( i 0.925 0.935 0.945 0.955 0.92 0.93 Accuracy 0.94 0.95 0.96 0 0 100 100 200 200 300 300 Accuracy of Left Classifier (L = 200) 400 500 600 Iterations of CoTraining Accuracy of Left Classifier 400 500 600 Iterations of CoTraining 700 700 800 800 900 900 1000 1000 0.94 0.95 0.96 0.97 0.98 0.99 0.86 0.87 0.88 0.89 Accuracy 0.91 0.92 0.93 0.94 0.95 0.96 0.9 1 0 0 100 100 200 200 300 300 Accuracy of Left Classifier (L = 1000) Accuracy of Labeled Data 400 500 600 Iterations of CoTraining 400 500 600 Iterations of CoTraining 700 700 800 800 900 900 1000 1000 bg b d j SV F f e F v v F G e e a vh F X v vh vh "yYP2iPHHPH%'BY%HHpWp%r FV Q QhV S S Q pHHYYhH3HYh rQ j Qa rQ "HHPs'xPq cGFq cS d vaQ F rQ IS FaGFSq FQa W)Hdy'H%xdyPxmPHd1X V a c Sh Qh e e a d1YHp%'dkpRHP%r c a vh F G F w F e a F Fh r q a S Q FV f a F f Q S c g a ` ch ch a G Qw S q a Q a e V a h Qh c P'6PY%pHp%d6ix'Re%Y'YdyH4s%yeHY'Yh A ( ' ( 4 1 bg cg7gg PbbbbhbgggPg 9 bb gg2 T& tP bb ggggbB ggPggtggPcgPg R b W bW g7bzvt2Pgz2 gW2Pg gPbPgP gA7Pgv b P bWgPhgg Pg&P bbHggggb g EPPpP bggb (begb bPg bggg gg ggWgg bP bgWbg gbP P g gg(gP g 2PgBtbgPbgg gt& g7tyPg9P W g tbWcP g9vggP ggPgg9btgb g b bgg 0g 7 g2ggPgEb gg P2 P Pg gggP g gggP9gP g Pgy PgPgg &ggb tH gg P gWP$ bg gb bD(PgB!g 9 b'PPg'gtP gPggg bgPgP bg bbPgg g!g 0gPb gPg'ggg PWP gg bv gP gPgpP gPgbbg Pgz'Pgz(b gPgW gb2gg b7gPg'PbPggP gPg9 Pb gPgg Pg9bggg g9Hgg gg b7g gPW vg gg ggPgg bggP1ggPb2PP2 ggP bPt P bb Pgbtg b9gbPbEbbPgyP bb ggggbB&bPbPgH9tb 0 e g d XV g Q P X P bWggPgPg P ggt aYpa(a6U & ' gP yggPPtWP g bWgP&P bgbgggggb7 ggbP PgP W(t'bggPHP ggHt P gb2 gb7b bPP P 7b ''bbWPWb7Pggby7gcW PtPgg gPgP gPgbg b7Pg 9g gg2gP g 0PgP'P Pgb2Pgbx'P bbWggggbPpP Pgg (g bbEgPP(PggPg(g gbbPg('P(gP g P0t Pb ggbP(B g7 ggRbgbP PWtEb btP bgb g&Pb Pg P P gg bg ggPyb HVP g g b gP gggPP bggy cP bgbcgggg gbggP'P bggPg7gP&P Pgg b b5 P ggbg9g W PRggbbbbbEg Pg0P ggg'geg ePc PPg2 &P bgb&gggggggb wbPgggtPbb7gW g gg Bgg P bgbg gvPgg Wg9 gg ' &PHg g tgh P g'Hg PgbPbgg gb&gg gPg ggPP bgb bPgbPPcgPg2b PgPg$gP HP!g g gtgP!bP!g g b PgbcPg9g9 P0 gb W bbbDPgg g bPWPgbPg 7 b P bgg ggggbgbPgPx ( P gygg7gPg e&P9bPgP bgb Tb P bgb9ggggggBgibbcgHgVgggg 9 P gP ggggBPg g2PbPbgEg gzbP bgbggggggR 2Pb R i 0.925 0.92 0.935 0.945 0.955 0.93 Accuracy 0.94 0.95 0.96 0 100 200 300 400 500 600 Iterations of CoTraining Accuracy of Left Classifier 700 800 900 1000 0.925 0.92 0.935 0.945 0.955 0.93 Accuracy 0.94 0.95 0.96 0 100 200 300 400 500 600 Iterations of CoTraining Accuracy of Left Classifier 700 800 900 1000 gg 7 9 i 7 # 9 @ " u 8 8 i & ' ) 7 9 3u# ! u Pbgbg 0Ptg bP 9b g g0!gPgP Wb bbgbAg tT&g g P bbbbgbb P G t z o q bz gHbb bxrr {gc m m w v bRybY1yWbtxbrb Yb1B b tgPP9PbP gb gWWbg Pgg4 PPgP b gggg bbgbg P( utr k q p k Hrs cl bbb7bbb'(g m gB1pbbtIgbgY1bE P ggbg BPWggPg g P ('bbbb(gPT 9v&D v bbbgbbb Pbz gbggbp11 o m k 1gb1n ab1bblbb1t j YgbtWPgggRgbPgbPg9$ gg P gg9g&vggPP&ggtgbg5 bbgb 7g(g bbg2 P Xa dX` X ~ PEbX 9i gbb byP' bbbgb g ' 9 P 2bbbgbgbbb bgtbHE tgc 9gggbPPg Agb! 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Cornell - GEO - 2
0 106.00 6.00 6.50 6.50 7.80Depth (km)20 30 40 507.80 8.21100 150 200 250 300Distance (km)
Cornell - FIN - 2
0 106.00 6.00 6.50 6.50 7.80Depth (km)20 30 40 507.80 8.21100 150 200 250 300Distance (km)
Cornell - GEO - 2
06.00 6.0010Depth (km)206.40 6.656.40 6.65307.15 8.25 7.15 8.2520406080 100 120 140 160 180Distance (km)
Cornell - FIN - 2
06.00 6.0010Depth (km)206.40 6.656.40 6.65307.15 8.25 7.15 8.2520406080 100 120 140 160 180Distance (km)
Cornell - GEO - 2
0Depth (km)3.50 3.50 4.50 4.50 6.00510 5 10 15 206.20253035Distance (km)
Cornell - FIN - 2
0Depth (km)3.50 3.50 4.50 4.50 6.00510 5 10 15 206.20253035Distance (km)
Cornell - GEO - 2
0Depth (km)3.60 4.70 5.96106.35 6.65 6.6520 308.1050100150
Cornell - FIN - 2
0Depth (km)3.60 4.70 5.96106.35 6.65 6.6520 308.1050100150
Cornell - CS - 93
DISTRIBUTIONAL CLUSTERING OF ENGLISH WORDSProceedings of ACL 93, pp. 183-190Fernando Pereira AT&T Bell Laboratories 600 Mountain Ave. Murray Hill, NJ 07974 pereira@research.att.com AbstractNaftali Tishby Dept. of Computer Science Hebrew Univers
Cornell - DOC - 05
Density Functional TheoryPlane wavesPseudopotentialsDensity Functional TheoryThe plane wave pseudopotential methodDavid RoundyCornell UniversityOctober 10, 2005Density Functional TheoryPlane wavesPseudopotentialsOutline1Density
Cornell - DOC - 05
Muffin Tins, Greens Functions, and Nanoscale TransportG = E H R[R 1]Derek Stewart CNF Fall Workshop Cooking Lesson #1Talk Overview A more localized approach Origins: Multiple Scattering Theory & KKRLinear Muffin Tin Orbitals Green
Cornell - DOC - 05
Molecular Science Software GroupGary Black Liz Jurrus Carina Lansing Bruce Palmer Karen Schuchardt Eric Stephan Erich VorpagelEdoardo Apr Eric Bylaska Mahin Hackler Bert deJong So Hirata Lisa Pollack Tjerk Straatsma Theresa WindusManoj Kumar Kri
Cornell - DOC - 05
Introduction to NWChemOutline of Talk Overview of NWChem Input (and output) examplesMolecular Science Software GroupGary Black Liz Jurrus Carina Lansing Bruce Palmer Karen Schuchardt Eric Stephan Erich VorpagelEdoardo Apr Eric Bylaska Mahin
Cornell - LAND - 2007
gPRIMEDataAcquisition&AnalysisSoftwareforPhysiologyin ResearchandEducationGusK.LottIII ,BruceR.Johnson ,RobertH.Bonow ,BruceR.Land ,andRonaldR.Hoy1,2 1 1 111DepartmentofNeurobiologyandBehavior,CornellUniv.,Ithaca,NY 2 HowardHughesMedicalInstit
Cornell - LAND - 2002
Stimscope: A Virtual Instrument for Neurophysiology in the Teaching LabB. R. Land, B. R. Johnson, R.A. Wyttenbach and R. R. Hoy Department of Neurobiology and Behavior, Cornell University, Ithaca, NYStimscope Interface IntroductionAs part of our e
Cornell - LAND - 2001
Inexpensive Electronics for the Teaching LabBruce R. Land, Robert A. Wyttenbach, Bruce R. Johnson, and Ronald R. Hoy Neurobiology & Behavior, Cornell University, Ithaca, NY 14853-2702 AMPLIFIER & ELECTRODEAn extracellular amplifier for use in the s
Cornell - LAND - 2001
.2/1)ftrt(/)emit uaetalp(=P yb denifed emit uaetalp dezilamron a esu lliw ew tub ,esahp gnillaf eht no %09 dna esahp gnisir e h t n o % 0 8 n e ew t e b e m i t e h t s a d e n i f e d s i e m i t uaetalp ehT .nwohs sa ,ft ,emit llaf dna ,rt ,emit es
Cornell - LAND - 2000
A Sensitivity Analysis of Chemical Kinetics Parameters for the Neuromuscular JunctionT.M. Bartol Jr. , T.J. Sejnowski , B.R. Land , E.E. Salpeter , and M.M. Salpeter *1 1 2 3 2 1 2 3Computational Neurobiology Laboratory, The Salk Institute, La Jo
Cornell - LAND - 2001
A Sensitivity Analysis of Chemical Kinetics Parameters for the Neuromuscular JunctionT.M. Bartol Jr. , T.J. Sejnowski , B.R. Land , E.E. Salpeter , and M.M. Salpeter *1 1 2 3 2 1 2 3Computational Neurobiology Laboratory, The Salk Institute, La Jo
Cornell - GEO - 2
0 106.003.50 6.006.00Depth (km)6.5020 30 40 20 40 60 80 100 120 140 160 180Distance (km)
Cornell - FIN - 2
0 106.003.50 6.006.00Depth (km)6.5020 30 40 20 40 60 80 100 120 140 160 180Distance (km)
Cornell - GEO - 2
0 55.90 6.10 6.50 5.10 6.10 7.504.304.507.104.60 6.00Depth (km)10 15 20 50 100 150 2006.557.80Distance (km)
Cornell - FIN - 2
0 55.90 6.10 6.50 5.10 6.10 7.504.304.507.104.60 6.00Depth (km)10 15 20 50 100 150 2006.557.80Distance (km)
Cornell - CS - 08
CS CHECKLIST (ENGINEERING)Name: _ E-mail: _ Advisor: _ Gender: male female Cornell ID:CUMULATIVE GPA:Degree Date (expected) Term GPA Term GPA Term GPA _ CS CORE Cr Sem Gr3 4 4 3 4COLLEGE REQUIREMENTS Course Cr Sem Gr Advising NotesFWS FWS Lib
Cornell - CS - 08
CS CHECKLIST (ENGINEERING)Name: _ E-mail: _ Advisor: _ Gender: male female Cornell ID:CUMULATIVE GPA:Degree Date (expected) Term GPA Term GPA Term GPA _ CS CORE Cr Sem Gr1 3 4 4 3 3 4COLLEGE REQUIREMENTS Course Cr Sem Gr Advising NotesFWS FWS
Cornell - CS - 08
CS CHECKLIST (ARTS)Name: _ E-mail: _ Advisor: _ Gender: male female Cornell ID:CUMULATIVE GPA:Degree Date (expected) Term GPA Term GPA Term GPA _ Cr Sem3 4 4 3 4COLLEGE REQUIREMENTS Course Cr Sem Gr Advising NotesFWS FWS5 courses (3+ credits
Cornell - CS - 08
CS CHECKLIST (ARTS)Name: _ Gender: male female E-mail: _ Cornell ID: Advisor: _ COLLEGE REQUIREMENTS Cr Sem Gr Advising Notes CourseFWS FWSFreshman Writing SeminarsDegree Date (expected) Term GPA Term GPA Term GPACUMULATIVE GPA:_ Cr Sem1 3 4
Cornell - CS - 08
Some general advice on vectors and scheduling (talk to your advisor and the ugrad ofce for specics!) December 4, 2008 Obtaining a vector should not be very difcult at all with a little planning. In most cases, one can attain a vector even if one comp
Cornell - PAGES - 1
Curriculum VitaeWARREN BAILEYSeptember 2008Johnson Graduate School of Management Cornell University 387 Sage Hall Ithaca, New York 14853-6201 U.S.A. (607) 255-4627 FAX (607) 254-4590 Email WBB1 at cornell.edu www.people.cornell.edu/pages/WBB1
Cornell - GEO - 2
06.00 6.20 6.804.20Depth (km)207.00 7.9040 100 200 300 400Distance (km)
Cornell - FIN - 2
06.00 6.20 6.804.20Depth (km)207.00 7.9040 100 200 300 400Distance (km)
Cornell - MATH - 1
First Presidential Veto Why Proportionality? Fair Representation Allocating KidneysHOW TO APPORTION FAIRLYPart 1: Representing, electing and ranking Michel Balinski cole Polytchnique and CNRSCornell University September 25, 2007Michel Balinski
Cornell - MATH - 2
The Problem: How to Elect? The Traditional View The Majority JudgementHOW TO ELECT and RANKPart 2: Representing, electing and rankingMichel Balinski cole Polytchnique and CNRSCornell University September 26, 2007Michel BalinskiHOW TO ELECT
Cornell - MATH - 3
Electoral Realities Fair majority voting BiproportionalityHOW TO ELIMINATE GERRYMANDERINGPart 3: Representing, electing and rankingMichel Balinski cole Polytchnique and CNRSCornell University September 27, 2007Michel BalinskiHOW TO ELIMINA
Cornell - C - 1
Chapter 1 Introduction1.1. Historical telescope designA careful reading of the literature of telescope design over the past three centuries is well-rewarded by an amusing picture of two-steps forward, one-step backwards which has taken place repeat
Cornell - C - 2
Chapter 2 The Multi-Telescope Telescope2.1.Siting considerationsSiting considerations for a telescope are driven by the competing pressures to economize on site access and maintenance, which drives a more accessible, nearby site, and the need f
Cornell - C - 3
Chapter 3 Control Software3.1. Design methodologyThe MTT is controlled by two 386-class instruments operating with the industrystandard AT bus, allowing many control functions to be handled with \hobbyistgrade" gear at much less cost than the dedic
Cornell - C - 4
Chapter 4 Fiber Optics4.1. OverviewThe availability of low-cost, high-performance ber optics to convey light from the telescope to the spectrograph made most of the innovations of the MTT possible. An astronomical spectrograph performs best in a th
Cornell - C - 5
Chapter 5 Newtonian Ebert Spectrograph5.1. Early historyThe spectrometer design for the MTT was constrained by the desire for low cost, simplicity of assembly, stable optical path, compact physical layout, and high e ciency. As with the engineer's
Cornell - C - 6
Chapter 6 Data Reduction6.1. Wright Instruments CCD and interfaceThe Wright Instruments Ltd. camera in the MTT uses an 1152 298 pixel chargecoupled device (CCD) manufactured by English Electric Valve Ltd. (EEV) as optical sensor. The chip is unthin
Cornell - C - 7
Chapter 7 Science with the MTT7.1. Plaskett's starThis most curious system proved an attractive target for the MTT due to its long and productive association with our group (and others!). Plaskett's star (HD 47129) is generally considered to be the
Cornell - C - 8
Chapter 8 Conclusions8.1. Throughput and performanceEach resolution element of the spectrum is derived from the 3 3 pix resolution width times 8 bers, implying that 72 pix participate in each resolution element of a reduced spectrum. As noise sourc
Cornell - LAND - 2006
Journal of Neuroscience Methods 159 (2007) 116124Flexible multielectrodes can resolve multiple muscles in an insect appendageAndrew J. Spence a, , Keith B. Neeves b , Devon Murphy c , Simon Sponberg a , Bruce R. Land d , Ronald R. Hoy d , Michael
Cornell - LAND - 1
Modelling Simul. Mater. Sci. Eng. 6 (1998) 639670. Printed in the UKPII: S0965-0393(98)90700-8Ab initio dynamics of rapid fractureFarid F Abraham, D Brodbeck, W E Rudge, J Q Broughton, D Schneider, B Land, D Lifka, J Gerner, M Rosenkrantz, J Sko
Cornell - SC - 1993
Scientific Visualization of Chemical SystemsRichard E. Gillilan and Bruce R. Land Visualization Group Cornell Theory Center Ithaca, NY 14853-380AbstractWithin the past few years, computer graphics has played a decisive role in transforming the fie
Cornell - LAND - 1991
Monte Carlo simulation of miniature endplate current generation in the vertebrate neuromuscular junctionThomas M. Bartol Jr.,* Bruce R.Land,* Edwin E. Salpeter,t Miriam M. Salpeter**Section of Neurobiology and Behavior, Division of Biological Sc
Cornell - LAND - 1984
Proc. Nati. Acad. Sci. USA Vol. 81, pp. 1594-1598, March 1984 NeurobiologyDiffusion and binding constants for acetylcholine derived from the falling phase of miniature endplate currents(acetylcholine receptor/acetylcholine receptor kinetics/buffer
Cornell - LAND - 1981
Proc. NatL Acad. Sci. USA Vol. 78, No. 11, pp. 7200-7204, November 1981 NeurobiologyKinetic parameters for acetyicholine interaction in intact neuromuscular junction(a-bunprotoxin/voltage clamp/binding ldnetics/acetylcholine receptor) BRUCE R. LAN
Cornell - LAND - 1980
NeurobiologyProc. Nati. Acad. Sci. USA Vol. 77, No. 6, pp. 3736-3740, June 1980Acetylcholine receptor site density affects the rising phase of miniature endplate currents(a-bungarotoxin/voltage clamp/acetylcholine diffusion/neuromuscular junctio
Cornell - LAND - 1978
R E S O L U T I O N IN ELECTRON MICROSCOPE AUTORADIOGRAPHYIV. Application to Analysis of AutoradiographsMIRIAM M. SALPETER, FRANCES A. McHENRY, and EDWIN E. SALPETER From the Section of Neurobiology and Behavior, School of Applied and Engineering
Cornell - LAND - 1977
J. Physiol. (1977), 269, pp. 155-176 With 2 plate and 7 text-figure8 Printed in Great Britain155ACETYLCHOLINE RECEPTOR DISTRIBUTION ON MYOTUBES IN CULTURE CORRELATED TO ACETYLCHOLINE SENSITIVITYBy B. R. LAND, T. R. PODLESKI, E. E. SALPETER AND
Cornell - LAND - 1976
JOURNAL OF NEUROBIOLOGY, VOL. 7, NO. 6, PP. 537-549Genetic and Physiological Evidence Concerning the Development of Chemically Sensitive VoltageDependent Ionophores in L6 CellsT. K E N T GARTNER,* BRUCE LAND,and T. R. PODLESKISection of Neurob
Cornell - TALK - 1
What Id Like to Know about 2105 Talk given June 8, 2005, at the Symposium Physics in the 21st Century - 100 Years after Einsteins Annus Mirabilis ETH, Zurich N. David Mermin Almost two years ago, I was invited to this Symposium to give a talk on Quan
Cornell - CCMR - 1
Last revised 1/31/06 LECTURE NOTES ON QUANTUM COMPUTATION Cornell University, Physics 481-681, CS 483; Spring, 2006 c 2006, N. David Mermin I. Fundamental Properties of Cbits and Qbits It is tempting to say that a quantum computer is one whose operat
Cornell - CCMR - 1
January 24, 2006Physics 681-481; CS 483: Assignment #1(please hand in after the lecture, Thursday, February 2) These assignments (which will appear every other week) have three purposes. They explore points not covered in the lectures or lecture n
Cornell - CCMR - 2
Last revised 4/5/06 LECTURE NOTES ON QUANTUM COMPUTATION Cornell University, Physics 481-681, CS 483; Spring, 2006 c 2006, N. David Mermin II. Quantum Computation: General features and some simple examples A. The general computational process We woul
Cornell - CCMR - 2
February 2, 2006Physics 681-481; CS 483: Assignment #2(please hand in after the lecture, Thursday, February 16th) I. Non-spooky construction of a spooky 2-Qbit state Section A4 of the appendix to chapter 1 describes the strange properties of a pai
Cornell - CCMR - 3
Last revised 3/28/06 LECTURE NOTES ON QUANTUM COMPUTATION Cornell University, Physics 481-681, CS 483; Spring, 2006 c 2006, N. David Mermin III. Breaking RSA Encryption with a Quantum Computer: Shor's Factoring Algorithm In Simon's problem we are pre
Cornell - CCMR - 3
February 16, 2006Physics 681-481; CS 483: Assignment #3(please hand in after the lecture, Thursday, March 2nd) I. Other aspects of Deutsch's problem Suppose one tried to solve Deutsch's problem, not by the clever trick used in Chapter 2, Section B
Cornell - CCMR - 4
Last revised 3/30/06 LECTURE NOTES ON QUANTUM COMPUTATION Cornell University, Physics 481-681, CS 483; Spring, 2005 c 2006, N. David Mermin IV. Searching with a Quantum Computer Suppose you know that exactly one n-bit integer satisfies a certain cond
Cornell - CCMR - 4
March 2, 2006Physics 681-481; CS 483: Assignment #4(please hand in after the lecture, Thursday, March 16th) I. Probabilities for solving Simon's problem. As described on pages 16-18 of Chapter 2, to estimate how many times a quantum computer has t