Qubit and Quantum Gates

Size: px
Start display at page:

Download "Qubit and Quantum Gates"

Transcription

1 Quit nd Quntum Gtes Shool on Quntum Dy, Lesson 9:-:, Mrh, 5 Eisuke Ae Deprtment of Applied Physis nd Physio-Informtis, nd REST-JST, Keio University

2 From lssil to quntum Informtion is physil - Rolf Lnduer QUANTUM informtion or quntum INFORMATION? It depends on your kground physis or informtion siene Ultimtely, you need oth At the eginning, it would e etter to keep one perspetive physis here

3 Referenes Quntum omputtion nd Quntum Informtion nd referenes therein, M. A. Nielsen nd I. L. hung, mridge University Press Dy, Lesson - Dy, Lesson Physil Review A 65, 3, N. D. Mermin Dy, Lesson L. M. K. Vndersypen, Ph. D Thesis ville t riv: qunt-ph/593 Dy, Lesson

4 Outline Rules of the gme Quntum it Stte spe Quntum gte Unitry evolution NOT, Y,, Hdmrd H Mesurement Multiple-quit Tensor produt NOT, SWAP, ontrolled-, Toffoli

5 Quntum it For physiists, quntum it quit is synonym for quntum mehnil two-level system g e Superposition

6 Quntum it Vetor nottion for omputtionl sis sttes POSTULATE ψ α β α α β α, β : Proility mplitude Stte spe Hilert spe β : Proilities sum to

7 Unitry evolution POSTULATE The evolution of quit system is desried y unitry trnsformtion suh s ψ t U ψ t Hermitin onjugte: A A T * Hermitin self-djoint: A A Unitry: UU I d * * d * *

8 Unitry evolution ih d ψ onnetion with the Shrödinger eqution dt H ψ H: Hmiltonin of the quit system Hermitin ih t t ψ t exp ψ t U ψ t h Exponentil opertor unitry Any unitry opertor U n e relized in the form U expih where H is some Hermitin opertor For now, tul physil systems tht relize neessry Hmiltonins re NOT our interest

9 Quntum gte ψ t U ψ t Input U Output ψ t ψ t Suessive implementtion Time L ψ ψ U U U 3 U n U ψ U U ψ Time U LU U n ψ

10 Quntum gte Input ψ α β Output U U ψ U α β We hve infinite inputs, ut it suffies to onsider only the omputtionl sis sttes U U Superposition priniple U α U β U U ψ U U

11 NOT gte lssil NOT Input output Quntum NOT The only non-trivil one-it gte in the lssil se or Mtrix representtion

12 Mtrix representtion The first olumn represents the finl stte of The seond olumn represents the finl stte of

13 Puli-, Y, gtes i i Y i Y i Y Y i iy i Y i Y Y Y ], [ ], [ ], [ I Y }, { }, { }, { Y Y Hermitin ommuttion reltions

14 Hdmrd gte, H,,, H H H H H HH Y HYH HH H I Hermitin iruit identities

15 Mesurement gte POSTULATE ψ α β Quntum it lssil it Mthemtil desription Generl mesurement Projetive mesurement POVM with proility α, or with proility β

16 Multiple-quit How do we desrie multiple-quit sttes? omputtionl sis sttes for two-quit sttes my e written s,,, We require them to e orthogonl, so they my e written s Speultion A multiple-quit stte is the tensor produt of the omponent quit systems POSTULATE

17 Tensor produt omputtionl sis set for -quit sttes Mtrix representtion

18 Multiple-quit gtes 3 U U 3 L n M M n n : n -dimensionl vetor U : n y n unitry mtrix

19 Independent gtes H H Y H H Y YH H H YH H YH U 8 y 8 unitry mtrix B B B B B A

20 ontrolled-u gtes ontrol it if Trget it U U U if U n e n ritrry single-quit gte U works only when U is just forml expression

21 NOT gte if if,,, Frequently used

22 NOT gte,,, Never mistke

23 SWAP gte SWAP 3 4 To implement SWAP, we need to. Enode informtion on into nd quit. Erse informtion on from st quit 3. Enode informtion on into st quit 4. Erse informtion on from nd quit

24 ontrolled- gte ontrolled- is nonlol

25 Toffoli Toffoli Toffoli is often referred to s ontrolled-ontrolled-not -NOT

26 Quiz Prove the following iruit identity Also prove the followings H I HH Use the following expressions for quntum gtes H,

27 Answer 3 3 sde implementtion sde ersure

28 Answer H HH onstrutive nd destrutive interferenes

29 Answer H H HH onstrutive nd destrutive interferenes

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b CS 294-2 9/11/04 Quntum Ciruit Model, Solovy-Kitev Theorem, BQP Fll 2004 Leture 4 1 Quntum Ciruit Model 1.1 Clssil Ciruits - Universl Gte Sets A lssil iruit implements multi-output oolen funtion f : {0,1}

More information

Topological quantum computation. John Preskill, Caltech Biedenharn Lecture 4 15 September 2005

Topological quantum computation. John Preskill, Caltech Biedenharn Lecture 4 15 September 2005 Topologil quntum omputtion John Preskill, Clteh Biedenhrn Leture 4 5 Septemer 2005 http://www.iqi.lteh.edu/ http://www.theory.lteh.edu/~preskill/ph29/ph29_2004.html Quntum omputer: the stndrd model ()

More information

John Preskill, Caltech KITP 7 June 2003

John Preskill, Caltech KITP 7 June 2003 Topologil quntum omputing for eginners John Preskill, Clteh KITP 7 June 2003 http://www.iqi.lteh.edu/ http://www.theory.lteh.edu/~preskill/ph29/ph29_2004.html Kitev Freedmn Kitev Freedmn Kitev, Fult-tolernt

More information

arxiv: v2 [quant-ph] 15 Aug 2008

arxiv: v2 [quant-ph] 15 Aug 2008 Mesurement-Only Topologil Quntum Computtion Prs Bonderson, 1 Mihel Freedmn, 1 nd Chetn Nyk 1, 2 1 Mirosoft Reserh, Sttion Q, Elings Hll, University of Cliforni, Snt Brbr, CA 93106 2 Deprtment of Physis,

More information

Graph States EPIT Mehdi Mhalla (Calgary, Canada) Simon Perdrix (Grenoble, France)

Graph States EPIT Mehdi Mhalla (Calgary, Canada) Simon Perdrix (Grenoble, France) Grph Sttes EPIT 2005 Mehdi Mhll (Clgry, Cnd) Simon Perdrix (Grenole, Frne) simon.perdrix@img.fr Grph Stte: Introdution A grph-sed representtion of the entnglement of some (lrge) quntum stte. Verties: quits

More information

arxiv: v1 [quant-ph] 2 Apr 2007

arxiv: v1 [quant-ph] 2 Apr 2007 Towrds Miniml Resoures of Mesurement-sed Quntum Computtion riv:0704.00v1 [qunt-ph] Apr 007 1. Introdution Simon Perdrix PPS, CNRS - niversité Pris 7 E-mil: simon.perdrix@pps.jussieu.fr Astrt. We improve

More information

Spin Networks and Anyonic Topological Quantum Computing. L. H. Kauffman, UIC.

Spin Networks and Anyonic Topological Quantum Computing. L. H. Kauffman, UIC. Spin Networks n Anyoni Topologil Quntum Computing L. H. Kuffmn, UC qunt-ph/0603131 n qunt-ph/0606114 www.mth.ui.eu/~kuffmn/unitry.pf Spin Networks n Anyoni Topologil Computing Louis H. Kuffmn n Smuel J.

More information

KENDRIYA VIDYALAYA IIT KANPUR HOME ASSIGNMENTS FOR SUMMER VACATIONS CLASS - XII MATHEMATICS (Relations and Functions & Binary Operations)

KENDRIYA VIDYALAYA IIT KANPUR HOME ASSIGNMENTS FOR SUMMER VACATIONS CLASS - XII MATHEMATICS (Relations and Functions & Binary Operations) KENDRIYA VIDYALAYA IIT KANPUR HOME ASSIGNMENTS FOR SUMMER VACATIONS 6-7 CLASS - XII MATHEMATICS (Reltions nd Funtions & Binry Opertions) For Slow Lerners: - A Reltion is sid to e Reflexive if.. every A

More information

Learning Objectives of Module 2 (Algebra and Calculus) Notes:

Learning Objectives of Module 2 (Algebra and Calculus) Notes: 67 Lerning Ojetives of Module (Alger nd Clulus) Notes:. Lerning units re grouped under three res ( Foundtion Knowledge, Alger nd Clulus ) nd Further Lerning Unit.. Relted lerning ojetives re grouped under

More information

1.3 SCALARS AND VECTORS

1.3 SCALARS AND VECTORS Bridge Course Phy I PUC 24 1.3 SCLRS ND VECTORS Introdution: Physis is the study of nturl phenomen. The study of ny nturl phenomenon involves mesurements. For exmple, the distne etween the plnet erth nd

More information

Automatic Synthesis of New Behaviors from a Library of Available Behaviors

Automatic Synthesis of New Behaviors from a Library of Available Behaviors Automti Synthesis of New Behviors from Lirry of Aville Behviors Giuseppe De Giomo Università di Rom L Spienz, Rom, Itly degiomo@dis.unirom1.it Sestin Srdin RMIT University, Melourne, Austrli ssrdin@s.rmit.edu.u

More information

Engr354: Digital Logic Circuits

Engr354: Digital Logic Circuits Engr354: Digitl Logi Ciruits Chpter 4: Logi Optimiztion Curtis Nelson Logi Optimiztion In hpter 4 you will lern out: Synthesis of logi funtions; Anlysis of logi iruits; Tehniques for deriving minimum-ost

More information

Polarimetric Target Detector by the use of the Polarisation Fork

Polarimetric Target Detector by the use of the Polarisation Fork Polrimetri rget Detetor y the use of the Polristion For Armndo Mrino¹ hne R Cloude² Iin H Woodhouse¹ ¹he University of Edinurgh, Edinurgh Erth Oservtory (EEO), UK ²AEL Consultnts, Edinurgh, UK POLinAR009

More information

LIP. Laboratoire de l Informatique du Parallélisme. Ecole Normale Supérieure de Lyon

LIP. Laboratoire de l Informatique du Parallélisme. Ecole Normale Supérieure de Lyon LIP Lortoire de l Informtique du Prllélisme Eole Normle Supérieure de Lyon Institut IMAG Unité de reherhe ssoiée u CNRS n 1398 One-wy Cellulr Automt on Cyley Grphs Zsuzsnn Rok Mrs 1993 Reserh Report N

More information

Topological Quantum Compiling

Topological Quantum Compiling Topologicl Quntum Compiling Work in collbortion with: Lyl Hormozi Georgios Zikos Steven H. Simon Michel Freedmn Nd Petrovic Florid Stte University Lucent Technologies Microsoft Project Q UCSB NEB, L. Hormozi,

More information

A Hierarchical Approach to Computer-Aided Design of Quantum Circuits

A Hierarchical Approach to Computer-Aided Design of Quantum Circuits A Hierrhil Approh to Computer-Aided Design of Quntum Ciruits Mrek Perkowski,+* Mrtin Luk,* Mikhil Pivtoriko,* Pwel Kerntopf, & Mihele Folgheriter *, Dongsoo Lee, + Hyungok Kim,+ Woong Hwngo, Jung-wook

More information

Hexagonal Arrays for Fault-Tolerant Matrix Multiplication

Hexagonal Arrays for Fault-Tolerant Matrix Multiplication Filomt 9:9 (5), 969 98 DOI.98/FIL59969M Pulished y Fulty of Sienes nd Mthemtis, University of Niš, Seri Aville t: http://www.pmf.ni..rs/filomt Hexgonl Arrys for Fult-Tolernt Mtrix Multiplition Emin I.

More information

Dense Coding, Teleportation, No Cloning

Dense Coding, Teleportation, No Cloning qitd352 Dense Coding, Teleporttion, No Cloning Roert B. Griffiths Version of 8 Ferury 2012 Referenes: NLQI = R. B. Griffiths, Nture nd lotion of quntum informtion Phys. Rev. A 66 (2002) 012311; http://rxiv.org/rhive/qunt-ph/0203058

More information

Electromagnetism Notes, NYU Spring 2018

Electromagnetism Notes, NYU Spring 2018 Eletromgnetism Notes, NYU Spring 208 April 2, 208 Ation formultion of EM. Free field desription Let us first onsider the free EM field, i.e. in the bsene of ny hrges or urrents. To tret this s mehnil system

More information

Lecture 1 - Introduction and Basic Facts about PDEs

Lecture 1 - Introduction and Basic Facts about PDEs * 18.15 - Introdution to PDEs, Fll 004 Prof. Gigliol Stffilni Leture 1 - Introdution nd Bsi Fts bout PDEs The Content of the Course Definition of Prtil Differentil Eqution (PDE) Liner PDEs VVVVVVVVVVVVVVVVVVVV

More information

Symmetrical Components 1

Symmetrical Components 1 Symmetril Components. Introdution These notes should e red together with Setion. of your text. When performing stedy-stte nlysis of high voltge trnsmission systems, we mke use of the per-phse equivlent

More information

PoS(LL2016)035. Cutkosky Rules from Outer Space. Dirk Kreimer Humboldt Univ.

PoS(LL2016)035. Cutkosky Rules from Outer Space. Dirk Kreimer Humboldt Univ. Cutkosky Rules from Outer Spe Humoldt Univ. E-mil: kreimer@physik.hu-erlin.de We overview reent results on the mthemtil foundtions of Cutkosky rules. We emphsize tht the two opertions of shrinking n internl

More information

Behavior Composition in the Presence of Failure

Behavior Composition in the Presence of Failure Behvior Composition in the Presene of Filure Sestin Srdin RMIT University, Melourne, Austrli Fio Ptrizi & Giuseppe De Giomo Spienz Univ. Rom, Itly KR 08, Sept. 2008, Sydney Austrli Introdution There re

More information

5. Every rational number have either terminating or repeating (recurring) decimal representation.

5. Every rational number have either terminating or repeating (recurring) decimal representation. CHAPTER NUMBER SYSTEMS Points to Rememer :. Numer used for ounting,,,,... re known s Nturl numers.. All nturl numers together with zero i.e. 0,,,,,... re known s whole numers.. All nturl numers, zero nd

More information

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution Tehnishe Universität Münhen Winter term 29/ I7 Prof. J. Esprz / J. Křetínský / M. Luttenerger. Ferur 2 Solution Automt nd Forml Lnguges Homework 2 Due 5..29. Exerise 2. Let A e the following finite utomton:

More information

University of BRISTOL. Department of Physics. Final year project

University of BRISTOL. Department of Physics. Final year project University of BRISTOL Deprtment of Physis Finl yer projet Angulr momentum oupling: spin networks nd their evlution y integrtion over SU(2) Author: Supervisor: N G Jones J H Hnny April 202 H H Wills Physis

More information

PH12b 2010 Solutions HW#3

PH12b 2010 Solutions HW#3 PH 00 Solutions HW#3. The Hmiltonin of this two level system is where E g < E e The experimentlist sis is H E g jgi hgj + E e jei hej j+i p (jgi + jei) j i p (jgi jei) ) At t 0 the stte is j (0)i j+i,

More information

Squeezing Transformation of Three-Mode Entangled State

Squeezing Transformation of Three-Mode Entangled State Commun. Theor. Phys. Beijing, Chin 44 005 pp. 9 9 c Interntionl Acdemic Publishers Vol. 44, No. 5, November 5, 005 Squeezing Trnsformtion of Three-Mode Entngled Stte QIAN Xio-Qing nd SONG Tong-Qing Deprtment

More information

Operations Algorithms on Quantum Computer

Operations Algorithms on Quantum Computer IJCSNS Interntionl Journl of Computer Science nd Network Security, VOL. No., Jnury 2 85 Opertions Algorithms on Quntum Computer Moyd A. Fhdil, Ali Foud Al-Azwi, nd Smmer Sid Informtion Technology Fculty,

More information

Spin Networks and Anyonic Topological Quantum Computing L. H. Kauffman, UIC.

Spin Networks and Anyonic Topological Quantum Computing L. H. Kauffman, UIC. Spin Networks n Anyoni Topologil Quntum Computing L. H. Kuffmn, UIC qunt-ph/0603131 n qunt-ph/0606114 www.mth.ui.eu/~kuffmn/unitry.pf Spin Networks n Anyoni Topologil Computing Louis H. Kuffmn n Smuel

More information

arxiv: v4 [cond-mat.stat-mech] 18 May 2017

arxiv: v4 [cond-mat.stat-mech] 18 May 2017 Quntum Vertex Model for Reversile Clssil Computing rxiv:1604.05354v4 [ond-mt.stt-meh] 18 My 2017 C. Chmon, 1,. R. Muiolo, 2 A.. Rukenstein, 1 nd Z.-C. Yng 1 1 Physis Deprtment, Boston University, 590 Commonwelth

More information

Génération aléatoire uniforme pour les réseaux d automates

Génération aléatoire uniforme pour les réseaux d automates Génértion létoire uniforme pour les réseux d utomtes Niols Bsset (Trvil ommun ve Mihèle Sori et Jen Miresse) Université lire de Bruxelles Journées Alé 2017 1/25 Motivtions (1/2) p q Automt re omni-present

More information

GRAND PLAN. Visualizing Quaternions. I: Fundamentals of Quaternions. Andrew J. Hanson. II: Visualizing Quaternion Geometry. III: Quaternion Frames

GRAND PLAN. Visualizing Quaternions. I: Fundamentals of Quaternions. Andrew J. Hanson. II: Visualizing Quaternion Geometry. III: Quaternion Frames Visuliing Quternions Andrew J. Hnson Computer Siene Deprtment Indin Universit Siggrph Tutoril GRAND PLAN I: Fundmentls of Quternions II: Visuliing Quternion Geometr III: Quternion Frmes IV: Clifford Algers

More information

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon Phys463.nb 49 7 Energy Bnds Ref: textbook, Chpter 7 Q: Why re there insultors nd conductors? Q: Wht will hppen when n electron moves in crystl? In the previous chpter, we discussed free electron gses,

More information

A Transformation Based Algorithm for Reversible Logic Synthesis

A Transformation Based Algorithm for Reversible Logic Synthesis 2.1 A Trnsformtion Bsed Algorithm for Reversile Logi Synthesis D. Mihel Miller Dept. of Computer Siene University of Vitori Vitori BC V8W 3P6 Cnd mmiller@sr.uvi. Dmitri Mslov Fulty of Computer Siene University

More information

Entanglement Purification

Entanglement Purification Lecture Note Entnglement Purifiction Jin-Wei Pn 6.5. Introduction( Both long distnce quntum teleporttion or glol quntum key distriution need to distriute certin supply of pirs of prticles in mximlly entngled

More information

Dong-Myung Lee, Jeong-Gon Lee, and Ming-Gen Cui. 1. introduction

Dong-Myung Lee, Jeong-Gon Lee, and Ming-Gen Cui. 1. introduction J. Kore So. Mth. Edu. Ser. B: Pure Appl. Mth. ISSN 16-0657 Volume 11, Number My 004), Pges 133 138 REPRESENTATION OF SOLUTIONS OF FREDHOLM EQUATIONS IN W Ω) OF REPRODUCING KERNELS Dong-Myung Lee, Jeong-Gon

More information

Lecture Notes No. 10

Lecture Notes No. 10 2.6 System Identifition, Estimtion, nd Lerning Leture otes o. Mrh 3, 26 6 Model Struture of Liner ime Invrint Systems 6. Model Struture In representing dynmil system, the first step is to find n pproprite

More information

The University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER MACHINES AND THEIR LANGUAGES ANSWERS

The University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER MACHINES AND THEIR LANGUAGES ANSWERS The University of ottinghm SCHOOL OF COMPUTR SCIC A LVL 2 MODUL, SPRIG SMSTR 2015 2016 MACHIS AD THIR LAGUAGS ASWRS Time llowed TWO hours Cndidtes my omplete the front over of their nswer ook nd sign their

More information

Figure 1. The left-handed and right-handed trefoils

Figure 1. The left-handed and right-handed trefoils The Knot Group A knot is n emedding of the irle into R 3 (or S 3 ), k : S 1 R 3. We shll ssume our knots re tme, mening the emedding n e extended to solid torus, K : S 1 D 2 R 3. The imge is lled tuulr

More information

Logic Synthesis and Verification

Logic Synthesis and Verification Logi Synthesis nd Verifition SOPs nd Inompletely Speified Funtions Jie-Hong Rolnd Jing 江介宏 Deprtment of Eletril Engineering Ntionl Tiwn University Fll 2010 Reding: Logi Synthesis in Nutshell Setion 2 most

More information

Digital quantum simulation of fermionic models with a superconducting circuit

Digital quantum simulation of fermionic models with a superconducting circuit Digitl quntum simultion of fermioni models with superonduting iruit R. Brends, 1 L. Lmt, J. Kelly, 3 L. Grí-Álvrez, A. G. Fowler, 1 A. Megrnt, 3, 4 E. Jeffrey, 1 T. C. White, 3 D. Snk, 1 J. Y. Mutus, 1

More information

Quantum Mechanics Qualifying Exam - August 2016 Notes and Instructions

Quantum Mechanics Qualifying Exam - August 2016 Notes and Instructions Quntum Mechnics Qulifying Exm - August 016 Notes nd Instructions There re 6 problems. Attempt them ll s prtil credit will be given. Write on only one side of the pper for your solutions. Write your lis

More information

Counting Paths Between Vertices. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs

Counting Paths Between Vertices. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs Isomorphism of Grphs Definition The simple grphs G 1 = (V 1, E 1 ) n G = (V, E ) re isomorphi if there is ijetion (n oneto-one n onto funtion) f from V 1 to V with the property tht n re jent in G 1 if

More information

Synthesis, testing and tolerance in reversible logic

Synthesis, testing and tolerance in reversible logic Universit of Lethridge Reserh Repositor OPUS Theses http://opus.uleth. Arts nd Siene, Fult of 2017 Snthesis, testing nd tolerne in reversile logi Nshir, Md Asif Lethridge, Alt. : Universit of Lethridge,

More information

Dynamic Template Matching with Mixed-polarity Toffoli Gates

Dynamic Template Matching with Mixed-polarity Toffoli Gates Dynmi Templte Mthing with Mixed-polrity Toffoli Gtes Md Mzder Rhmn 1, Mthis Soeken 2,3, nd Gerhrd W. Duek 1 1 Fulty of Computer Siene, University of New Brunswik, Cnd 2 Deprtment of Mthemtis nd Computer

More information

mmr The quantity a2x(a; Ah) is a monotonic increasing function of a and attains its 4irp

mmr The quantity a2x(a; Ah) is a monotonic increasing function of a and attains its 4irp VOL. 46, 1960 PHYSICS: J. SCHWINGER 257 The quntity 2X(; Ah) is monotonic incresing function of ttins its minimum vlue t = 0. Therefore, if we let A(z) = limit 2 (40) - 0 2X(; A) the minimum field strength,

More information

Descriptional Complexity of Non-Unary Self-Verifying Symmetric Difference Automata

Descriptional Complexity of Non-Unary Self-Verifying Symmetric Difference Automata Desriptionl Complexity of Non-Unry Self-Verifying Symmetri Differene Automt Lurette Mris 1,2 nd Lynette vn Zijl 1 1 Deprtment of Computer Siene, Stellenosh University, South Afri 2 Merk Institute, CSIR,

More information

Worksheet #2 Math 285 Name: 1. Solve the following systems of linear equations. The prove that the solutions forms a subspace of

Worksheet #2 Math 285 Name: 1. Solve the following systems of linear equations. The prove that the solutions forms a subspace of Worsheet # th Nme:. Sole the folloing sstems of liner equtions. he proe tht the solutions forms suspe of ) ). Find the neessr nd suffiient onditions of ll onstnts for the eistene of solution to the sstem:.

More information

On the Origin of Charge-Asymmetric Matter. I. Geometry of the Dirac Field

On the Origin of Charge-Asymmetric Matter. I. Geometry of the Dirac Field Journl of Modern Physis 6 7 587-6 Pulished Online pril 6 in SiRes http://wwwsirporg/journl/jmp http://dxdoiorg/6/jmp6776 On the Origin of Chrge-symmetri Mtter I Geometry of the Dir Field lexnder Mkhlin

More information

Sufficient condition on noise correlations for scalable quantum computing

Sufficient condition on noise correlations for scalable quantum computing Sufficient condition on noise correltions for sclble quntum computing John Presill, 2 Februry 202 Is quntum computing sclble? The ccurcy threshold theorem for quntum computtion estblishes tht sclbility

More information

f (x)dx = f(b) f(a). a b f (x)dx is the limit of sums

f (x)dx = f(b) f(a). a b f (x)dx is the limit of sums Green s Theorem If f is funtion of one vrible x with derivtive f x) or df dx to the Fundmentl Theorem of lulus, nd [, b] is given intervl then, ording This is not trivil result, onsidering tht b b f x)dx

More information

arxiv: v1 [math.ca] 21 Aug 2018

arxiv: v1 [math.ca] 21 Aug 2018 rxiv:1808.07159v1 [mth.ca] 1 Aug 018 Clulus on Dul Rel Numbers Keqin Liu Deprtment of Mthemtis The University of British Columbi Vnouver, BC Cnd, V6T 1Z Augest, 018 Abstrt We present the bsi theory of

More information

DETC2016/MESA INFORMATION FUSION IN POLAR COORDINATES

DETC2016/MESA INFORMATION FUSION IN POLAR COORDINATES Proeedings of the ASME 6 Interntionl Design Engineering Tehnil Conferenes & Computers nd Informtion in Engineering Conferene IDETC/CIE 6 August -, 6, Chrlotte, USA DETC6/MESA INFORMATION FUSION IN POLAR

More information

arxiv:hep-ph/ v2 17 Jun 1999

arxiv:hep-ph/ v2 17 Jun 1999 Tlk given t 34th Renontres de Moriond QCD nd High Energy Hdroni Intertions, Les Ars, Frne, Mrh 20 27, 1999 TRANSVERSE SPECTRA OF INDUCED RADIATION rxiv:hep-ph/9906373v2 17 Jun 1999 B.G. Zkhrov Lndu Institute

More information

Hybrid Systems Modeling, Analysis and Control

Hybrid Systems Modeling, Analysis and Control Hyrid Systems Modeling, Anlysis nd Control Rdu Grosu Vienn University of Tehnology Leture 5 Finite Automt s Liner Systems Oservility, Rehility nd More Miniml DFA re Not Miniml NFA (Arnold, Diky nd Nivt

More information

A Non-parametric Approach in Testing Higher Order Interactions

A Non-parametric Approach in Testing Higher Order Interactions A Non-prmetri Approh in Testing igher Order Intertions G. Bkeerthn Deprtment of Mthemtis, Fulty of Siene Estern University, Chenkldy, Sri Lnk nd S. Smit Deprtment of Crop Siene, Fulty of Agriulture University

More information

MATRIX INVERSE ON CONNEX PARALLEL ARCHITECTURE

MATRIX INVERSE ON CONNEX PARALLEL ARCHITECTURE U.P.B. Si. Bull., Series C, Vol. 75, Iss. 2, ISSN 86 354 MATRIX INVERSE ON CONNEX PARALLEL ARCHITECTURE An-Mri CALFA, Gheorghe ŞTEFAN 2 Designed for emedded omputtion in system on hip design, the Connex

More information

#A42 INTEGERS 11 (2011) ON THE CONDITIONED BINOMIAL COEFFICIENTS

#A42 INTEGERS 11 (2011) ON THE CONDITIONED BINOMIAL COEFFICIENTS #A42 INTEGERS 11 (2011 ON THE CONDITIONED BINOMIAL COEFFICIENTS Liqun To Shool of Mthemtil Sienes, Luoyng Norml University, Luoyng, Chin lqto@lynuedun Reeived: 12/24/10, Revised: 5/11/11, Aepted: 5/16/11,

More information

Co-ordinated s-convex Function in the First Sense with Some Hadamard-Type Inequalities

Co-ordinated s-convex Function in the First Sense with Some Hadamard-Type Inequalities Int. J. Contemp. Mth. Sienes, Vol. 3, 008, no. 3, 557-567 Co-ordinted s-convex Funtion in the First Sense with Some Hdmrd-Type Inequlities Mohmmd Alomri nd Mslin Drus Shool o Mthemtil Sienes Fulty o Siene

More information

ANALYSIS AND MODELLING OF RAINFALL EVENTS

ANALYSIS AND MODELLING OF RAINFALL EVENTS Proeedings of the 14 th Interntionl Conferene on Environmentl Siene nd Tehnology Athens, Greee, 3-5 Septemer 215 ANALYSIS AND MODELLING OF RAINFALL EVENTS IOANNIDIS K., KARAGRIGORIOU A. nd LEKKAS D.F.

More information

Memory Minimization for Tensor Contractions using Integer Linear Programming.

Memory Minimization for Tensor Contractions using Integer Linear Programming. Memory Minimiztion for Tensor Contrtions using Integer Liner Progrmming A. Allm 1, J. Rmnujm 1, G. Bumgrtner 2, nd P. Sdyppn 3 1 Deprtment of Eletril nd Computer Engineering, Louisin Stte University, USA

More information

Fierz transformations

Fierz transformations Fierz trnsformtions Fierz identities re often useful in quntum field theory clcultions. They re connected to reordering of field opertors in contct four-prticle interction. The bsic tsk is: given four

More information

arxiv: v1 [math.ct] 8 Sep 2009

arxiv: v1 [math.ct] 8 Sep 2009 On the briding of n Ann-tegory rxiv:0909.1486v1 [mth.ct] 8 Sep 2009 September 8, 2009 NGUYEN TIEN QUANG nd DANG DINH HANH Dept. of Mthemtis, Hnoi Ntionl University of Edution, Viet Nm Emil: nguyenqung272002@gmil.om

More information

Research Collection. Quantum error correction (QEC) Student Paper. ETH Library. Author(s): Baumann, Rainer. Publication Date: 2003

Research Collection. Quantum error correction (QEC) Student Paper. ETH Library. Author(s): Baumann, Rainer. Publication Date: 2003 Reserch Collection Student Pper Quntum error correction (QEC) Author(s): Bumnn, Riner Publiction Dte: 3 Permnent Link: https://doi.org/.399/ethz--4778 Rights / License: In Copyright - Non-Commercil Use

More information

Something found at a salad bar

Something found at a salad bar Nme PP Something found t sld r 4.7 Notes RIGHT TRINGLE hs extly one right ngle. To solve right tringle, you n use things like SOH-H-TO nd the Pythgoren Theorem. n OLIQUE TRINGLE hs no right ngles. To solve

More information

Linear Algebra Introduction

Linear Algebra Introduction Introdution Wht is Liner Alger out? Liner Alger is rnh of mthemtis whih emerged yers k nd ws one of the pioneer rnhes of mthemtis Though, initilly it strted with solving of the simple liner eqution x +

More information

Discrete Structures, Test 2 Monday, March 28, 2016 SOLUTIONS, VERSION α

Discrete Structures, Test 2 Monday, March 28, 2016 SOLUTIONS, VERSION α Disrete Strutures, Test 2 Mondy, Mrh 28, 2016 SOLUTIONS, VERSION α α 1. (18 pts) Short nswer. Put your nswer in the ox. No prtil redit. () Consider the reltion R on {,,, d with mtrix digrph of R.. Drw

More information

Exercise 3 Logic Control

Exercise 3 Logic Control Exerise 3 Logi Control OBJECTIVE The ojetive of this exerise is giving n introdution to pplition of Logi Control System (LCS). Tody, LCS is implemented through Progrmmle Logi Controller (PLC) whih is lled

More information

VECTOR ALGEBRA. Syllabus :

VECTOR ALGEBRA. Syllabus : MV VECTOR ALGEBRA Syllus : Vetors nd Slrs, ddition of vetors, omponent of vetor, omponents of vetor in two dimensions nd three dimensionl spe, slr nd vetor produts, slr nd vetor triple produt. Einstein

More information

A Family of Logical Fault Models for Reversible Circuits

A Family of Logical Fault Models for Reversible Circuits A Fmily of Logil Fult Moels for Reversile Ciruits Ili Polin John P. Hyes Thoms Fiehn Bern Beker Alert-Luwigs-University Georges-Köhler-Allee 5 79 Freiurg i. Br., Germny {polin fiehn eker}@informtik.uni-freiurg.e

More information

THREE DIMENSIONAL GEOMETRY

THREE DIMENSIONAL GEOMETRY MD THREE DIMENSIONAL GEOMETRY CA CB C Coordintes of point in spe There re infinite numer of points in spe We wnt to identif eh nd ever point of spe with the help of three mutull perpendiulr oordintes es

More information

Aike ikx Bike ikx. = 2k. solving for. A = k iκ

Aike ikx Bike ikx. = 2k. solving for. A = k iκ LULEÅ UNIVERSITY OF TECHNOLOGY Division of Physics Solution to written exm in Quntum Physics F0047T Exmintion dte: 06-03-5 The solutions re just suggestions. They my contin severl lterntive routes.. Sme/similr

More information

A Hierarchical Approach to Computer-Aided Design of Quantum Circuits

A Hierarchical Approach to Computer-Aided Design of Quantum Circuits A ierrhil Approh to Computer-Aided Design of Quntum Ciruits Mrek Perkowski,+* Mrtin Luk,* Mikhil Pivtoriko,* Pwel Kerntopf, & Mihele Folgheriter ^, Dongsoo Lee, + yungok Kim,+ oong wngo, Jung-wook Kim+

More information

EFFICIENT SYMBOLIC COMPUTATION FOR WORD-LEVEL ABSTRACTION FROM COMBINATIONAL CIRCUITS FOR VERIFICATION OVER FINITE FIELDS

EFFICIENT SYMBOLIC COMPUTATION FOR WORD-LEVEL ABSTRACTION FROM COMBINATIONAL CIRCUITS FOR VERIFICATION OVER FINITE FIELDS EXTENDED VERSION OF THE PAPER ACCEPTED TO APPEAR IN IEEE TRANS ON CAD, PAPER ACCEPTANCE OCTOBER 2015 1 EFFICIENT SYMBOLIC COMPUTATION FOR WORD-LEVEL ABSTRACTION FROM COMBINATIONAL CIRCUITS FOR VERIFICATION

More information

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4.

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4. Mth 5 Tutoril Week 1 - Jnury 1 1 Nme Setion Tutoril Worksheet 1. Find ll solutions to the liner system by following the given steps x + y + z = x + y + z = 4. y + z = Step 1. Write down the rgumented mtrix

More information

Does the electromotive force (always) represent work?

Does the electromotive force (always) represent work? rxiv.org > physis > rxiv:1405.7474 Does the eletromotive fore (lwys) represent work?. J. Pphristou 1, A. N. Mgouls 1 Deprtment of Physil Sienes, Nvl Ademy of Greee, Pireus, Greee E-mil: pphristou@snd.edu.gr

More information

arxiv:math-ph/ v1 6 Jun 2003

arxiv:math-ph/ v1 6 Jun 2003 On the energy-momentum tensor Rirdo E. Gmbo Srví Deprtmento de Físi, Universidd Nionl de L Plt C.C. 67, 1900 L Plt, Argentin Dted: September 10, 2002 We lrify the reltion mong nonil, metri nd Belinfnte

More information

arxiv: v1 [hep-ph] 11 Sep 2018

arxiv: v1 [hep-ph] 11 Sep 2018 Neutrino spetrum in SU3 l SU3 E guged lepton flvor model rxiv:1809.03677v1 [hep-ph] 11 Sep 018 W Sreethwong 1, W Treesukrt 1 nd P Uttyrt 1 Shool of Physis, Surnree University of Tehnology, Nkhon Rthsim

More information

Arbitrary superpositions of quantum operators by single-photon interference

Arbitrary superpositions of quantum operators by single-photon interference Bri, 29 settembre 2009 Società Itlin di Fisic XCV Congresso Nzionle Seoul Ntionl University Arbitrry superpositions of quntum opertors by single-photon interference Alessndro Zvtt CNR-INOA (Firenze) Vlentin

More information

Measurement-Only Topological Quantum Computation

Measurement-Only Topological Quantum Computation Mesurement-Only Topologicl Quntum Computtion Prs Bonderson Microsoft Sttion Q DAS Theoreticl Physics Seminr August 21, 2008 work done in collbortion with: Mike Freedmn nd Chetn Nyk rxiv:0802.0279 (PRL

More information

Lecture 6: Coding theory

Lecture 6: Coding theory Leture 6: Coing theory Biology 429 Crl Bergstrom Ferury 4, 2008 Soures: This leture loosely follows Cover n Thoms Chpter 5 n Yeung Chpter 3. As usul, some of the text n equtions re tken iretly from those

More information

Propositional models. Historical models of computation. Application: binary addition. Boolean functions. Implementation using switches.

Propositional models. Historical models of computation. Application: binary addition. Boolean functions. Implementation using switches. Propositionl models Historil models of omputtion Steven Lindell Hverford College USA 1/22/2010 ISLA 2010 1 Strt with fixed numer of oolen vriles lled the voulry: e.g.,,. Eh oolen vrile represents proposition,

More information

ONE of the great engineering challenge of this century is

ONE of the great engineering challenge of this century is A Mthemtil Theory of Co-Design Andre Censi 1 rxiv:1512.08055v7 [s.lo] 12 Ot 2016 Astrt One of the hllenges of modern engineering, nd rootis in prtiulr, is designing omplex systems, omposed of mny susystems,

More information

CS103B Handout 18 Winter 2007 February 28, 2007 Finite Automata

CS103B Handout 18 Winter 2007 February 28, 2007 Finite Automata CS103B ndout 18 Winter 2007 Ferury 28, 2007 Finite Automt Initil text y Mggie Johnson. Introduction Severl childrens gmes fit the following description: Pieces re set up on plying ord; dice re thrown or

More information

Spacetime and the Quantum World Questions Fall 2010

Spacetime and the Quantum World Questions Fall 2010 Spetime nd the Quntum World Questions Fll 2010 1. Cliker Questions from Clss: (1) In toss of two die, wht is the proility tht the sum of the outomes is 6? () P (x 1 + x 2 = 6) = 1 36 - out 3% () P (x 1

More information

Continuous Quantum Systems

Continuous Quantum Systems Chpter 8 Continuous Quntum Systems 8.1 The wvefunction So fr, we hve been tlking bout finite dimensionl Hilbert spces: if our system hs k qubits, then our Hilbert spce hs n dimensions, nd is equivlent

More information

Chapter 3. Vector Spaces. 3.1 Images and Image Arithmetic

Chapter 3. Vector Spaces. 3.1 Images and Image Arithmetic Chpter 3 Vetor Spes In Chpter 2, we sw tht the set of imges possessed numer of onvenient properties. It turns out tht ny set tht possesses similr onvenient properties n e nlyzed in similr wy. In liner

More information

Math 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1)

Math 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1) Green s Theorem Mth 3B isussion Session Week 8 Notes Februry 8 nd Mrh, 7 Very shortly fter you lerned how to integrte single-vrible funtions, you lerned the Fundmentl Theorem of lulus the wy most integrtion

More information

Lecture Summaries for Multivariable Integral Calculus M52B

Lecture Summaries for Multivariable Integral Calculus M52B These leture summries my lso be viewed online by liking the L ion t the top right of ny leture sreen. Leture Summries for Multivrible Integrl Clulus M52B Chpter nd setion numbers refer to the 6th edition.

More information

Random subgroups of a free group

Random subgroups of a free group Rndom sugroups of free group Frédérique Bssino LIPN - Lortoire d Informtique de Pris Nord, Université Pris 13 - CNRS Joint work with Armndo Mrtino, Cyril Nicud, Enric Ventur et Pscl Weil LIX My, 2015 Introduction

More information

Arrow s Impossibility Theorem

Arrow s Impossibility Theorem Rep Fun Gme Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Fun Gme Properties Arrow s Theorem Leture Overview 1 Rep 2 Fun Gme 3 Properties

More information

Gauss Quadrature Rule of Integration

Gauss Quadrature Rule of Integration Guss Qudrture Rule o Integrtion Computer Engineering Mjors Authors: Autr Kw, Chrlie Brker http://numerilmethods.eng.us.edu Trnsorming Numeril Methods Edution or STEM Undergrdutes /0/00 http://numerilmethods.eng.us.edu

More information

TENSOR FORM OF SPECIAL RELATIVITY

TENSOR FORM OF SPECIAL RELATIVITY TENSOR FORM OF SPECIAL RELATIVITY We begin by realling that the fundamental priniple of Speial Relativity is that all physial laws must look the same to all inertial observers. This is easiest done by

More information

Chapter 3. Vector Spaces

Chapter 3. Vector Spaces 3.4 Liner Trnsformtions 1 Chpter 3. Vector Spces 3.4 Liner Trnsformtions Note. We hve lredy studied liner trnsformtions from R n into R m. Now we look t liner trnsformtions from one generl vector spce

More information

arxiv: v1 [quant-ph] 19 Dec 2017

arxiv: v1 [quant-ph] 19 Dec 2017 Quntum supervlutionist ccount of the EPR prdox Arkdy Bolotin Ben-Gurion University of the Negev, Beersheb (Isrel) December, 17 rxiv:171.6746v1 [qunt-ph] 19 Dec 17 Abstrct In the pper, the EPR prdox is

More information

A Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version

A Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version A Lower Bound for the Length of Prtil Trnsversl in Ltin Squre, Revised Version Pooy Htmi nd Peter W. Shor Deprtment of Mthemtil Sienes, Shrif University of Tehnology, P.O.Bo 11365-9415, Tehrn, Irn Deprtment

More information

Generalized Kronecker Product and Its Application

Generalized Kronecker Product and Its Application Vol. 1, No. 1 ISSN: 1916-9795 Generlize Kroneker Prout n Its Applition Xingxing Liu Shool of mthemtis n omputer Siene Ynn University Shnxi 716000, Chin E-mil: lxx6407@163.om Astrt In this pper, we promote

More information

Chern Simons D = 3, N = 6 superfield theory

Chern Simons D = 3, N = 6 superfield theory Physics Letters B 66 28) 254 259 www.elsevier.com/locte/physlet Chern Simons D = 3 N = 6 superfield theory B.M. Zupni Bogoliuov Lortory of Theoreticl Physics JINR Dun Moscow Region 498 Russi Received 29

More information

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1.

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1. 398 CHAPTER 11 ORTHOGONAL FUNCTIONS AND FOURIER SERIES 11.1 ORTHOGONAL FUNCTIONS REVIEW MATERIAL The notions of generlized vectors nd vector spces cn e found in ny liner lger text. INTRODUCTION The concepts

More information