Entanglement Purification

Size: px
Start display at page:

Download "Entanglement Purification"

Transcription

1 Lecture Note Entnglement Purifiction Jin-Wei Pn 6.5.

2 Introduction( Both long distnce quntum teleporttion or glol quntum key distriution need to distriute certin supply of pirs of prticles in mximlly entngled stte to two distnt users.

3 Introduction( owever, distriuted quits will interct with the environment nd decoherence will hppen. E U ( t ( t E ( t E U E ( t ere, represents the quit stte nd E represents the environment initil stte, U (t is the joint unitry time evolution opertor. or ritrry quit stte: ( U ( t α α E α E( t α E ( t ρ * α αα E E q( t TrEρq E * αα E E α The off-digonl element of the quit density mtrix will drop down with the Γ(t Γt rte E ( t E( t e, depends on the coupling etween quit nd environment. The mximlly entngled stte will e in some mixed stte with certin entnglement fidelity due to the process.

4 Introduction( Solution to the decoherence Quntum Error Correction for Quntum computtion Quntum Entnglement Purifiction for Quntum Communiction Quntum Communiction sed on Decoherence free Suspce The sic ide of entnglement purifiction is to extrct from lrge ensemle of lowfidelity EPR pirs smll su-ensemle with sufficiently high fidelity EPR pir. Entnglement Purifiction----improve purify of ny kind of unknown mixed stte Locl filtering----improve entnglement degree for known stte Entnglement Concentrtion---- improve entnglement degree for unknown stte

5 Principle of Entnglement Purifiction Model: Suppose Alice wnt to shre n ensemles of -quit mximlly entngled sttes with Bo vi noise chnnel. After the trnsmission, the stte hs een chnged into generl mixed stte M, the purity of M cn e expressed s. Severl ingredients in the Entnglement Purifiction: ( Bell sttes:, ; ( Werner stte: ; ( Puli rottion:,, ; ( CNOT gte:, / ( M x σ z σ σ y ( ± ± ( ± ± W y x x y x

6 Principle of Entnglement Purifiction Steps of Entnglement Purifiction: ( Rndom Bilterl Puli Rottion on ech photon in the sttes. This step cn chnge ritrry mixed stte into Werner stte: W σ y ( A Unilterl Rottions converting the sttes from mostly Werner sttes to the nlogous mostly sttes, ( σ mps ±, ( Bilterl CNOT opertions on two photon pirs in the Werner stte. y [C. Bennett, et l., PRL 76, 77 (996]

7 Bilterl CNOT opertions will convert the Bell sttes s the form: or exmple: (-/ Proility, we hve CNOT ( S T CNOT[( SA CNOT ( SA ( SA TA SB S T SB TA TB SB S SA TB SA SB T ( TA SA TA SB TA TB TB SB TA TB SA TB TA ] SA SB TA TB SB TB SA TA SA SB TA TB SB TB

8 Principle of Entnglement Purifiction ( Mesuring the trget pir in z sis, if the result is prllel, keep the source pir, if not, discrd the source pirs. After the protocol, the purity of the source pir hs een improved: If >/, then > i severl this kind processes, we cn purify generl mixed stte into highly entngled stte. [C. Bennett, et l., PRL 76, 77 (996]

9 Experiment of Entnglement Purifiction The theoreticl proposl needs C-Not gte which requires high non-linerities. Unluckily, no efficient C-Not gte exists t the moment A etter solution for experiments [J.-W. Pn et l., Nture, 67 (]

10 ( ( ( t s t s t s t s Initil Stte: Purified Stte: ( ρ ( ρ / (if ( > >

11 ( ( ( ( > > > > > our-fold events No four-fold events or the first cse, 5% / proility of

12 Similrly, ( 5% No four-fold events proility of ( / ( In this wy ρ ( > ( if > / (

13 Experimentl Reliztion [J.-W. Pn et l., Nture, 7 (]

14 contriution contriution our-fold contriution from doule pirs emission ( > > > > > [J.-W. Pn et l., Nture, 7 (]

15 To keep the phse stle, we use the polriztion-sptil entnglement ( ( ( Two-fold coincidence per second Time dely (μm Two-fold coincidence per 5 seconds Piezo position (nm

16 Experimentl Result Before purifiction, /.5.5. >> >>. 5 o >5 o > -5 o >-5 o > rction. rction... >> >> 5 o >-5 o > -5 o >5 o >.... After purifiction, /.5 >> >>.5 5 o >5 o > -5 o >-5 o >.. rction. rction.... >> >>. 5 o >-5 o > -5 o >5 o >.. [J.-W. Pn et l., Nture, 7 (]

17 Locl filtering The purifiction protocol is such wste for the photon pir sources. When we hve known some informtion of the stte, there is some more efficient method to improve the purity. ε or exmple, ( ε / ε ( is non-mximlly ε entngled stte, cn e converted into the mximlly entngled stte ( / y sujecting one of the quits to generlized mesurement filtering process: ε,. This process is clled locl filtering. It cn only e used in known stte nd cn only improve the entnglement degree. [P. Kwit et l., Nture 9, (]

18 Locl filtering Any inseprle two spin-/ system Mtrices Cn Be Distilled to Singlet orm with locl filtering nd entnglement purifiction A quntum system is clled inseprle if its density mtrix cnnot e written s mixture of product sttes: [M. orodecki, et l., PRL 78, 57 (997]

19 [P. Kwit et l., Nture 9, (]

20 Locl iltering nd idden Non-loclity or the stte ρε, λ λ ε ε ( sometimes it cn not violte Bell inequlity. After the Locl iltering process, the stte is chnged into the stte ( λ ε λ ε which cn violte the Bell inequlity. ε ( λ ( [P. Kwit et l., Nture 9, (]

21 Entnglement Concentrtion---Scheme ψ T ( α β ( α β R9 ( α β ( α β αβ. α PBS ψ ψ ( αβ. ( β [C.. Bennett et l., Phys. Rev. A 5, 6 (996] [Z. Zho et l., Phys. Rev. A6, (] [T. Ymmoto et l., Phys. Rev. A6, (]

22 Experiment Reliztion [Z. Zho et l, Phys. Rev. Lett. 9, 79(.] [T. Ymmoto et l., Nture, (]

23 Difficulties in Long-distnce Quntum Communiction Due to the noisy quntum chnnel ( sorption photon loss ( decoherence degrding entnglement qulity Solution to prolem (: Entnglement swpping! [N. Gisin et l., Rev. Mod. Phys. 7, 5 (] Solution to prolem (: Entnglement purifiction! [C.. Bennett et l., Phys. Rev. Lett. 76, 7 (996] [D. Deutsch et l., Phys. Rev. Lett. 77, 88 (996]

24 The Kernel Device for Long Distnce Quntum Communiction Quntum repeters: Require [. Briegel et l., Phys. Rev. Lett. 8, 59(998] entnglement swpping with high precision entnglement purifiction with high precision quntum memory

25 A proof-in-principle demonstrtion of quntum repeter [Z. Zho et l, Phys. Rev. Lett. 9, 79(.]

26 Results for Repeter S.58 ± ±. Stndrd Devition S ±.5 ±.8 Stndrd Devition S 5..8 ±.. ±.8 Stndrd Devition idelity.96 ±..9±..9±. [Z. Zho et l, Phys. Rev. Lett. 9, 79(.]

27 Drwck in ormer Experiments Asence of quntum memory Proilistic entngled photon source Proilistic entnglement purifiction Quntum memory uge photon loss in fier ree-spce entnglement distriution - we re working on km nd 5km scle Synchroniztion of independent lsers - we re working on entnglement swpping [T. Yng et l., PRL 96, 5 (6]

28 Drwck in ormer Experiments P / P In multi-stge experiments, the cost of resource is proportionl to N N/ P thus not sclle If one knows when the photon pir is creted nd the entngled pir cn e stored s demnded, the totl cost is then N/P P

29 Another Solution---- Quntum Communiction sed on Decoherence free Suspce or specil noise, we cn utilize some entnglement suspce to directly implement quntum communiction. or exmple, the phse flip error chnnel:, iφ e The Bell stte ψ, ψ re immune to the noise: ( / i iφ ( e e / i e ( ( / i iφ ( e e / i e ( / / We cn tke nd, Ech stte comined y the two sis cn e used for decoherence free communiction. The suspce is clled decoherence free suspce. [Q. Zhng et l., PRA 7. (R (6] [T.-Y. Chen et l., PRL 96, 55 (6]

Quantum Nonlocality Pt. 2: No-Signaling and Local Hidden Variables May 1, / 16

Quantum Nonlocality Pt. 2: No-Signaling and Local Hidden Variables May 1, / 16 Quntum Nonloclity Pt. 2: No-Signling nd Locl Hidden Vriles My 1, 2018 Quntum Nonloclity Pt. 2: No-Signling nd Locl Hidden Vriles My 1, 2018 1 / 16 Non-Signling Boxes The primry lesson from lst lecture

More information

C/CS/Phys C191 Bell Inequalities, No Cloning, Teleportation 9/13/07 Fall 2007 Lecture 6

C/CS/Phys C191 Bell Inequalities, No Cloning, Teleportation 9/13/07 Fall 2007 Lecture 6 C/CS/Phys C9 Bell Inequlities, o Cloning, Teleporttion 9/3/7 Fll 7 Lecture 6 Redings Benenti, Csti, nd Strini: o Cloning Ch.4. Teleporttion Ch. 4.5 Bell inequlities See lecture notes from H. Muchi, Cltech,

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

Extended nonlocal games from quantum-classical games

Extended nonlocal games from quantum-classical games Extended nonlocl gmes from quntum-clssicl gmes Theory Seminr incent Russo niversity of Wterloo October 17, 2016 Outline Extended nonlocl gmes nd quntum-clssicl gmes Entngled vlues nd the dimension of entnglement

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

Measurement-Only Topological Quantum Computation

Measurement-Only Topological Quantum Computation Mesurement-Only Topologicl Quntum Computtion Prs Bonderson Microsoft Sttion Q University of Virgini Condensed Mtter Seminr October, 8 work done in collbortion with: Mike Freedmn nd Chetn Nyk rxiv:8.79

More information

Local orthogonality: a multipartite principle for (quantum) correlations

Local orthogonality: a multipartite principle for (quantum) correlations Locl orthogonlity: multiprtite principle for (quntum) correltions Antonio Acín ICREA Professor t ICFO-Institut de Ciencies Fotoniques, Brcelon Cusl Structure in Quntum Theory, Bensque, Spin, June 2013

More information

Measurement-Only Topological Quantum Computation

Measurement-Only Topological Quantum Computation Mesurement-Only Topologicl Quntum Computtion Prs Bonderson Microsoft Sttion Q UIUC Workshop on Topologicl Phses of Mtter October 24, 2008 work done in collbortion with: Mike Freedmn nd Chetn Nyk rxiv:0802.0279

More information

Lecture Notes PH 411/511 ECE 598 A. La Rosa Portland State University INTRODUCTION TO QUANTUM MECHANICS

Lecture Notes PH 411/511 ECE 598 A. La Rosa Portland State University INTRODUCTION TO QUANTUM MECHANICS Lecture Notes PH 4/5 ECE 598. L Ros Portlnd Stte University INTRODUCTION TO QUNTUM MECHNICS Underlying subject of the PROJECT ssignment: QUNTUM ENTNGLEMENT Fundmentls: EPR s view on the completeness of

More information

Teleportation of qubit states through dissipative channels: Conditions for surpassing the no-cloning limit

Teleportation of qubit states through dissipative channels: Conditions for surpassing the no-cloning limit Teleporttion of quit sttes through dissiptive chnnels: Conditions for surpssing the no-cloning limit Şhin Ky Özdemir,,2,3 Krol Brtkiewicz, 4 Yu-xi Liu, 5,6 nd Adm Mirnowicz,3,4 SORST Reserch Tem for Intercting

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

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

Discrete Mathematics and Probability Theory Spring 2013 Anant Sahai Lecture 17

Discrete Mathematics and Probability Theory Spring 2013 Anant Sahai Lecture 17 EECS 70 Discrete Mthemtics nd Proility Theory Spring 2013 Annt Shi Lecture 17 I.I.D. Rndom Vriles Estimting the is of coin Question: We wnt to estimte the proportion p of Democrts in the US popultion,

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

Chapter 9 Many Electron Atoms

Chapter 9 Many Electron Atoms Chem 356: Introductory Quntum Mechnics Chpter 9 Mny Electron Atoms... 11 MnyElectron Atoms... 11 A: HrtreeFock: Minimize the Energy of Single Slter Determinnt.... 16 HrtreeFock Itertion Scheme... 17 Chpter

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

Monte Carlo method in solving numerical integration and differential equation

Monte Carlo method in solving numerical integration and differential equation Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The

More information

Lecture 08: Feb. 08, 2019

Lecture 08: Feb. 08, 2019 4CS4-6:Theory of Computtion(Closure on Reg. Lngs., regex to NDFA, DFA to regex) Prof. K.R. Chowdhry Lecture 08: Fe. 08, 2019 : Professor of CS Disclimer: These notes hve not een sujected to the usul scrutiny

More information

Genetic Programming. Outline. Evolutionary Strategies. Evolutionary strategies Genetic programming Summary

Genetic Programming. Outline. Evolutionary Strategies. Evolutionary strategies Genetic programming Summary Outline Genetic Progrmming Evolutionry strtegies Genetic progrmming Summry Bsed on the mteril provided y Professor Michel Negnevitsky Evolutionry Strtegies An pproch simulting nturl evolution ws proposed

More information

Lecture 9: LTL and Büchi Automata

Lecture 9: LTL and Büchi Automata Lecture 9: LTL nd Büchi Automt 1 LTL Property Ptterns Quite often the requirements of system follow some simple ptterns. Sometimes we wnt to specify tht property should only hold in certin context, clled

More information

dx dt dy = G(t, x, y), dt where the functions are defined on I Ω, and are locally Lipschitz w.r.t. variable (x, y) Ω.

dx dt dy = G(t, x, y), dt where the functions are defined on I Ω, and are locally Lipschitz w.r.t. variable (x, y) Ω. Chpter 8 Stility theory We discuss properties of solutions of first order two dimensionl system, nd stility theory for specil clss of liner systems. We denote the independent vrile y t in plce of x, nd

More information

The realization of a full-scale quantum computer presents one

The realization of a full-scale quantum computer presents one ARICLES PUBLISED ONLINE: 7 DECEMBER 28 DOI:.38/NPYS5 Simplifying quntum logic using higher-dimensionl ilert spces Benjmin P. Lnyon *, Mrco Brieri, Mrcelo P. Almeid, homs Jennewein,2, imothy C. Rlph, Kevin

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

Discrete Mathematics and Probability Theory Summer 2014 James Cook Note 17

Discrete Mathematics and Probability Theory Summer 2014 James Cook Note 17 CS 70 Discrete Mthemtics nd Proility Theory Summer 2014 Jmes Cook Note 17 I.I.D. Rndom Vriles Estimting the is of coin Question: We wnt to estimte the proportion p of Democrts in the US popultion, y tking

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

Nondeterminism and Nodeterministic Automata

Nondeterminism and Nodeterministic Automata Nondeterminism nd Nodeterministic Automt 61 Nondeterminism nd Nondeterministic Automt The computtionl mchine models tht we lerned in the clss re deterministic in the sense tht the next move is uniquely

More information

Module 6: LINEAR TRANSFORMATIONS

Module 6: LINEAR TRANSFORMATIONS Module 6: LINEAR TRANSFORMATIONS. Trnsformtions nd mtrices Trnsformtions re generliztions of functions. A vector x in some set S n is mpped into m nother vector y T( x). A trnsformtion is liner if, for

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

Particle Lifetime. Subatomic Physics: Particle Physics Lecture 3. Measuring Decays, Scatterings and Collisions. N(t) = N 0 exp( t/τ) = N 0 exp( Γt/)

Particle Lifetime. Subatomic Physics: Particle Physics Lecture 3. Measuring Decays, Scatterings and Collisions. N(t) = N 0 exp( t/τ) = N 0 exp( Γt/) Sutomic Physics: Prticle Physics Lecture 3 Mesuring Decys, Sctterings n Collisions Prticle lifetime n with Prticle ecy moes Prticle ecy kinemtics Scttering cross sections Collision centre of mss energy

More information

Classical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011

Classical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011 Clssicl Mechnics From Moleculr to Con/nuum Physics I WS 11/12 Emilino Ippoli/ October, 2011 Wednesdy, October 12, 2011 Review Mthemtics... Physics Bsic thermodynmics Temperture, idel gs, kinetic gs theory,

More information

set is not closed under matrix [ multiplication, ] and does not form a group.

set is not closed under matrix [ multiplication, ] and does not form a group. Prolem 2.3: Which of the following collections of 2 2 mtrices with rel entries form groups under [ mtrix ] multipliction? i) Those of the form for which c d 2 Answer: The set of such mtrices is not closed

More information

Designing Information Devices and Systems I Discussion 8B

Designing Information Devices and Systems I Discussion 8B Lst Updted: 2018-10-17 19:40 1 EECS 16A Fll 2018 Designing Informtion Devices nd Systems I Discussion 8B 1. Why Bother With Thévenin Anywy? () Find Thévenin eqiuvlent for the circuit shown elow. 2kΩ 5V

More information

Lecture 3. In this lecture, we will discuss algorithms for solving systems of linear equations.

Lecture 3. In this lecture, we will discuss algorithms for solving systems of linear equations. Lecture 3 3 Solving liner equtions In this lecture we will discuss lgorithms for solving systems of liner equtions Multiplictive identity Let us restrict ourselves to considering squre mtrices since one

More information

Section 14.3 Arc Length and Curvature

Section 14.3 Arc Length and Curvature Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in

More information

2.4 Linear Inequalities and Interval Notation

2.4 Linear Inequalities and Interval Notation .4 Liner Inequlities nd Intervl Nottion We wnt to solve equtions tht hve n inequlity symol insted of n equl sign. There re four inequlity symols tht we will look t: Less thn , Less thn or

More information

De Broglie Wavelength of a Nonlocal Four-Photon

De Broglie Wavelength of a Nonlocal Four-Photon 1 De Broglie Wvelength of Nonlocl Four-Photon Philip Wlther*, Jin-Wei Pn, Mrkus Aspelmeyer *, Rupert Ursin *, Sr Gsproni* & Anton Zeilinger * * Institut für Experimentlphysik, Universität Wien, Boltzmnngsse

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry dierentil eqution (ODE) du f(t) dt with initil condition u() : Just

More information

Chapter 14. Matrix Representations of Linear Transformations

Chapter 14. Matrix Representations of Linear Transformations Chpter 4 Mtrix Representtions of Liner Trnsformtions When considering the Het Stte Evolution, we found tht we could describe this process using multipliction by mtrix. This ws nice becuse computers cn

More information

CS 188: Artificial Intelligence Fall Announcements

CS 188: Artificial Intelligence Fall Announcements CS 188: Artificil Intelligence Fll 2009 Lecture 20: Prticle Filtering 11/5/2009 Dn Klein UC Berkeley Announcements Written 3 out: due 10/12 Project 4 out: due 10/19 Written 4 proly xed, Project 5 moving

More information

Chapter 6 Continuous Random Variables and Distributions

Chapter 6 Continuous Random Variables and Distributions Chpter 6 Continuous Rndom Vriles nd Distriutions Mny economic nd usiness mesures such s sles investment consumption nd cost cn hve the continuous numericl vlues so tht they cn not e represented y discrete

More information

Bases for Vector Spaces

Bases for Vector Spaces Bses for Vector Spces 2-26-25 A set is independent if, roughly speking, there is no redundncy in the set: You cn t uild ny vector in the set s liner comintion of the others A set spns if you cn uild everything

More information

Ideal Gas behaviour: summary

Ideal Gas behaviour: summary Lecture 4 Rel Gses Idel Gs ehviour: sury We recll the conditions under which the idel gs eqution of stte Pn is vlid: olue of individul gs olecules is neglected No interctions (either ttrctive or repulsive)

More information

Linear Systems with Constant Coefficients

Linear Systems with Constant Coefficients Liner Systems with Constnt Coefficients 4-3-05 Here is system of n differentil equtions in n unknowns: x x + + n x n, x x + + n x n, x n n x + + nn x n This is constnt coefficient liner homogeneous system

More information

Numerical Linear Algebra Assignment 008

Numerical Linear Algebra Assignment 008 Numericl Liner Algebr Assignment 008 Nguyen Qun B Hong Students t Fculty of Mth nd Computer Science, Ho Chi Minh University of Science, Vietnm emil. nguyenqunbhong@gmil.com blog. http://hongnguyenqunb.wordpress.com

More information

Describe in words how you interpret this quantity. Precisely what information do you get from x?

Describe in words how you interpret this quantity. Precisely what information do you get from x? WAVE FUNCTIONS AND PROBABILITY 1 I: Thinking out the wve function In quntum mechnics, the term wve function usully refers to solution to the Schrödinger eqution, Ψ(x, t) i = 2 2 Ψ(x, t) + V (x)ψ(x, t),

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

Preparation of decoherence-free cluster states with optical superlattices

Preparation of decoherence-free cluster states with optical superlattices PHYSICAL REVIEW A 79, 0309 009 Preprtion of decoherence-free cluster sttes with opticl superlttices Ling Jing, 1 An Mri Rey,,3 Oriol Romero-Isrt, 4 Jun José Grcí-Ripoll, 5 Ann Snper, 4,6 nd Mikhil D. Lukin

More information

Analytically, vectors will be represented by lowercase bold-face Latin letters, e.g. a, r, q.

Analytically, vectors will be represented by lowercase bold-face Latin letters, e.g. a, r, q. 1.1 Vector Alger 1.1.1 Sclrs A physicl quntity which is completely descried y single rel numer is clled sclr. Physiclly, it is something which hs mgnitude, nd is completely descried y this mgnitude. Exmples

More information

Intermediate Math Circles Wednesday, November 14, 2018 Finite Automata II. Nickolas Rollick a b b. a b 4

Intermediate Math Circles Wednesday, November 14, 2018 Finite Automata II. Nickolas Rollick a b b. a b 4 Intermedite Mth Circles Wednesdy, Novemer 14, 2018 Finite Automt II Nickols Rollick nrollick@uwterloo.c Regulr Lnguges Lst time, we were introduced to the ide of DFA (deterministic finite utomton), one

More information

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018 Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.

More information

Generalized Fano and non-fano networks

Generalized Fano and non-fano networks Generlized Fno nd non-fno networks Nildri Ds nd Brijesh Kumr Ri Deprtment of Electronics nd Electricl Engineering Indin Institute of Technology Guwhti, Guwhti, Assm, Indi Emil: {d.nildri, bkri}@iitg.ernet.in

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION doi: 1.138/nnno.29.451 Aove-ndgp voltges from ferroelectric photovoltic devices S. Y. Yng, 1 J. Seidel 2,3, S. J. Byrnes, 2,3 P. Shfer, 1 C.-H. Yng, 3 M. D. Rossell, 4 P. Yu,

More information

Closing loopholes in Bell tests of local realism

Closing loopholes in Bell tests of local realism Mx lnck Institute of Quntum Optics MQ Grching / Munich Germny Closing loopholes in Bell tests of locl relism Johnnes Kofler Workshop Quntum hysics nd the Nture of Relity Interntionl Acdemy Trunkirchen

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

Physics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2011

Physics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2011 Physics 74 Grdute Quntum Mechnics Solutions to Finl Exm, Fll 0 You my use () clss notes, () former homeworks nd solutions (vilble online), (3) online routines, such s Clebsch, provided by me, or (4) ny

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

Vectors , (0,0). 5. A vector is commonly denoted by putting an arrow above its symbol, as in the picture above. Here are some 3-dimensional vectors:

Vectors , (0,0). 5. A vector is commonly denoted by putting an arrow above its symbol, as in the picture above. Here are some 3-dimensional vectors: Vectors 1-23-2018 I ll look t vectors from n lgeric point of view nd geometric point of view. Algericlly, vector is n ordered list of (usully) rel numers. Here re some 2-dimensionl vectors: (2, 3), ( )

More information

03 Qudrtic Functions Completing the squre: Generl Form f ( x) x + x + c f ( x) ( x + p) + q where,, nd c re constnts nd 0. (i) (ii) (iii) (iv) *Note t

03 Qudrtic Functions Completing the squre: Generl Form f ( x) x + x + c f ( x) ( x + p) + q where,, nd c re constnts nd 0. (i) (ii) (iii) (iv) *Note t A-PDF Wtermrk DEMO: Purchse from www.a-pdf.com to remove the wtermrk Add Mths Formule List: Form 4 (Updte 8/9/08) 0 Functions Asolute Vlue Function Inverse Function If f ( x ), if f ( x ) 0 f ( x) y f

More information

Quantum Non-demolition Detection of Single Microwave Photons in a Circuit

Quantum Non-demolition Detection of Single Microwave Photons in a Circuit Quntum Non-demolition Detection of Single Microwve Photons in Circuit B. R. Johnson, 1 M. D. Reed, 1 A. A. Houck, 2 D. I. Schuster, 1 Lev S. Bishop, 1 E. Ginossr, 1 J. M. Gmett, 3 L. DiCrlo, 1 L. Frunzio,

More information

Hamiltonian Cycle in Complete Multipartite Graphs

Hamiltonian Cycle in Complete Multipartite Graphs Annls of Pure nd Applied Mthemtics Vol 13, No 2, 2017, 223-228 ISSN: 2279-087X (P), 2279-0888(online) Pulished on 18 April 2017 wwwreserchmthsciorg DOI: http://dxdoiorg/1022457/pmv13n28 Annls of Hmiltonin

More information

7.1 Integral as Net Change and 7.2 Areas in the Plane Calculus

7.1 Integral as Net Change and 7.2 Areas in the Plane Calculus 7.1 Integrl s Net Chnge nd 7. Ares in the Plne Clculus 7.1 INTEGRAL AS NET CHANGE Notecrds from 7.1: Displcement vs Totl Distnce, Integrl s Net Chnge We hve lredy seen how the position of n oject cn e

More information

Review of Probability Distributions. CS1538: Introduction to Simulations

Review of Probability Distributions. CS1538: Introduction to Simulations Review of Proility Distriutions CS1538: Introduction to Simultions Some Well-Known Proility Distriutions Bernoulli Binomil Geometric Negtive Binomil Poisson Uniform Exponentil Gmm Erlng Gussin/Norml Relevnce

More information

Deterministic Finite Automata

Deterministic Finite Automata Finite Automt Deterministic Finite Automt H. Geuvers nd J. Rot Institute for Computing nd Informtion Sciences Version: fll 2016 J. Rot Version: fll 2016 Tlen en Automten 1 / 21 Outline Finite Automt Finite

More information

Boolean algebra.

Boolean algebra. http://en.wikipedi.org/wiki/elementry_boolen_lger Boolen lger www.tudorgir.com Computer science is not out computers, it is out computtion nd informtion. computtion informtion computer informtion Turing

More information

The Minimum Label Spanning Tree Problem: Illustrating the Utility of Genetic Algorithms

The Minimum Label Spanning Tree Problem: Illustrating the Utility of Genetic Algorithms The Minimum Lel Spnning Tree Prolem: Illustrting the Utility of Genetic Algorithms Yupei Xiong, Univ. of Mrylnd Bruce Golden, Univ. of Mrylnd Edwrd Wsil, Americn Univ. Presented t BAE Systems Distinguished

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] 27 May 2015

arxiv: v1 [quant-ph] 27 May 2015 Clssicl Verifiction of Quntum Proofs rxiv:1505.0743v1 [qunt-ph] 7 My 015 Zhengfeng Ji Institute for Quntum Computing nd School of Computer Science, University of Wterloo, Wterloo, Ontrio, Cnd Stte Key

More information

1. For each of the following theorems, give a two or three sentence sketch of how the proof goes or why it is not true.

1. For each of the following theorems, give a two or three sentence sketch of how the proof goes or why it is not true. York University CSE 2 Unit 3. DFA Clsses Converting etween DFA, NFA, Regulr Expressions, nd Extended Regulr Expressions Instructor: Jeff Edmonds Don t chet y looking t these nswers premturely.. For ech

More information

To Do. Vectors. Motivation and Outline. Vector Addition. Cartesian Coordinates. Foundations of Computer Graphics (Spring 2010) x y

To Do. Vectors. Motivation and Outline. Vector Addition. Cartesian Coordinates. Foundations of Computer Graphics (Spring 2010) x y Foundtions of Computer Grphics (Spring 2010) CS 184, Lecture 2: Review of Bsic Mth http://inst.eecs.erkeley.edu/~cs184 o Do Complete Assignment 0 Downlod nd compile skeleton for ssignment 1 Red instructions

More information

Thomas Whitham Sixth Form

Thomas Whitham Sixth Form Thoms Whithm Sith Form Pure Mthemtics Unit C Alger Trigonometry Geometry Clculus Vectors Trigonometry Compound ngle formule sin sin cos cos Pge A B sin Acos B cos Asin B A B sin Acos B cos Asin B A B cos

More information

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3 2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is

More information

Chapter 2 Finite Automata

Chapter 2 Finite Automata Chpter 2 Finite Automt 28 2.1 Introduction Finite utomt: first model of the notion of effective procedure. (They lso hve mny other pplictions). The concept of finite utomton cn e derived y exmining wht

More information

2. VECTORS AND MATRICES IN 3 DIMENSIONS

2. VECTORS AND MATRICES IN 3 DIMENSIONS 2 VECTORS AND MATRICES IN 3 DIMENSIONS 21 Extending the Theory of 2-dimensionl Vectors x A point in 3-dimensionl spce cn e represented y column vector of the form y z z-xis y-xis z x y x-xis Most of the

More information

Quantum physics has come a long way

Quantum physics has come a long way www.nture.com/nture Vol 453 Issue no. 7198 19 June 28 QUANTUM COHERENCE Cover illustrtion The entngling of toms through spin coupling in doule-well potentil (Courtesy of I. Bloch) Editor, Nture Philip

More information

Quantum Secret Sharing with Error Correction

Quantum Secret Sharing with Error Correction Commun. Theor. Phys. 58 (01) 661 671 Vol. 58, No. 5, November 15, 01 Quntum Secret Shring with Error Correction Aziz Mouzli, 1, Ftih Merzk, nd Dmin Mrkhm 3 1 Electronic Deprtment, Ntionl Polytechnic School,

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

PHY4605 Introduction to Quantum Mechanics II Spring 2005 Final exam SOLUTIONS April 22, 2005

PHY4605 Introduction to Quantum Mechanics II Spring 2005 Final exam SOLUTIONS April 22, 2005 . Short Answer. PHY4605 Introduction to Quntum Mechnics II Spring 005 Finl exm SOLUTIONS April, 005 () Write the expression ψ ψ = s n explicit integrl eqution in three dimensions, ssuming tht ψ represents

More information

expression simply by forming an OR of the ANDs of all input variables for which the output is

expression simply by forming an OR of the ANDs of all input variables for which the output is 2.4 Logic Minimiztion nd Krnugh Mps As we found ove, given truth tle, it is lwys possile to write down correct logic expression simply y forming n OR of the ANDs of ll input vriles for which the output

More information

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24 Mtrix lger Mtrix ddition, Sclr Multipliction nd rnsposition Mtrix lger Section.. Mtrix ddition, Sclr Multipliction nd rnsposition rectngulr rry of numers is clled mtrix ( the plurl is mtrices ) nd the

More information

Simple Harmonic Motion I Sem

Simple Harmonic Motion I Sem Simple Hrmonic Motion I Sem Sllus: Differentil eqution of liner SHM. Energ of prticle, potentil energ nd kinetic energ (derivtion), Composition of two rectngulr SHM s hving sme periods, Lissjous figures.

More information

Lecture Solution of a System of Linear Equation

Lecture Solution of a System of Linear Equation ChE Lecture Notes, Dept. of Chemicl Engineering, Univ. of TN, Knoville - D. Keffer, 5/9/98 (updted /) Lecture 8- - Solution of System of Liner Eqution 8. Why is it importnt to e le to solve system of liner

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

quantum error-rejection

quantum error-rejection Lecture Note 7 Decoherence-free sub-space space and quantum error-rejection rejection.06.006 open system dynamics ψ = α 0 + α 0 Decoherence System Environment 0 E 0 U ( t) ( t) 0 E ( t) E U E ( t) U()

More information

WENJUN LIU AND QUÔ C ANH NGÔ

WENJUN LIU AND QUÔ C ANH NGÔ AN OSTROWSKI-GRÜSS TYPE INEQUALITY ON TIME SCALES WENJUN LIU AND QUÔ C ANH NGÔ Astrct. In this pper we derive new inequlity of Ostrowski-Grüss type on time scles nd thus unify corresponding continuous

More information

Designing finite automata II

Designing finite automata II Designing finite utomt II Prolem: Design DFA A such tht L(A) consists of ll strings of nd which re of length 3n, for n = 0, 1, 2, (1) Determine wht to rememer out the input string Assign stte to ech of

More information

Homework Assignment 6 Solution Set

Homework Assignment 6 Solution Set Homework Assignment 6 Solution Set PHYCS 440 Mrch, 004 Prolem (Griffiths 4.6 One wy to find the energy is to find the E nd D fields everywhere nd then integrte the energy density for those fields. We know

More information

Concepts of Concurrent Computation Spring 2015 Lecture 9: Petri Nets

Concepts of Concurrent Computation Spring 2015 Lecture 9: Petri Nets Concepts of Concurrent Computtion Spring 205 Lecture 9: Petri Nets Sebstin Nnz Chris Poskitt Chir of Softwre Engineering Petri nets Petri nets re mthemticl models for describing systems with concurrency

More information

(See Notes on Spontaneous Emission)

(See Notes on Spontaneous Emission) ECE 240 for Cvity from ECE 240 (See Notes on ) Quntum Rdition in ECE 240 Lsers - Fll 2017 Lecture 11 1 Free Spce ECE 240 for Cvity from Quntum Rdition in The electromgnetic mode density in free spce is

More information

CMPSCI 250: Introduction to Computation. Lecture #31: What DFA s Can and Can t Do David Mix Barrington 9 April 2014

CMPSCI 250: Introduction to Computation. Lecture #31: What DFA s Can and Can t Do David Mix Barrington 9 April 2014 CMPSCI 250: Introduction to Computtion Lecture #31: Wht DFA s Cn nd Cn t Do Dvid Mix Brrington 9 April 2014 Wht DFA s Cn nd Cn t Do Deterministic Finite Automt Forml Definition of DFA s Exmples of DFA

More information

Bayesian Networks: Approximate Inference

Bayesian Networks: Approximate Inference pproches to inference yesin Networks: pproximte Inference xct inference Vrillimintion Join tree lgorithm pproximte inference Simplify the structure of the network to mkxct inferencfficient (vritionl methods,

More information

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY Chpter 3 MTRIX In this chpter: Definition nd terms Specil Mtrices Mtrix Opertion: Trnspose, Equlity, Sum, Difference, Sclr Multipliction, Mtrix Multipliction, Determinnt, Inverse ppliction of Mtrix in

More information

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying Vitli covers 1 Definition. A Vitli cover of set E R is set V of closed intervls with positive length so tht, for every δ > 0 nd every x E, there is some I V with λ(i ) < δ nd x I. 2 Lemm (Vitli covering)

More information

QUADRATURE is an old-fashioned word that refers to

QUADRATURE is an old-fashioned word that refers to World Acdemy of Science Engineering nd Technology Interntionl Journl of Mthemticl nd Computtionl Sciences Vol:5 No:7 011 A New Qudrture Rule Derived from Spline Interpoltion with Error Anlysis Hdi Tghvfrd

More information

5. (±±) Λ = fw j w is string of even lengthg [ 00 = f11,00g 7. (11 [ 00)± Λ = fw j w egins with either 11 or 00g 8. (0 [ ffl)1 Λ = 01 Λ [ 1 Λ 9.

5. (±±) Λ = fw j w is string of even lengthg [ 00 = f11,00g 7. (11 [ 00)± Λ = fw j w egins with either 11 or 00g 8. (0 [ ffl)1 Λ = 01 Λ [ 1 Λ 9. Regulr Expressions, Pumping Lemm, Right Liner Grmmrs Ling 106 Mrch 25, 2002 1 Regulr Expressions A regulr expression descries or genertes lnguge: it is kind of shorthnd for listing the memers of lnguge.

More information

Homework Assignment 3 Solution Set

Homework Assignment 3 Solution Set Homework Assignment 3 Solution Set PHYCS 44 6 Ferury, 4 Prolem 1 (Griffiths.5(c The potentil due to ny continuous chrge distriution is the sum of the contriutions from ech infinitesiml chrge in the distriution.

More information

a * a (2,1) 1,1 0,1 1,1 2,1 hkl 1,0 1,0 2,0 O 2,1 0,1 1,1 0,2 1,2 2,2

a * a (2,1) 1,1 0,1 1,1 2,1 hkl 1,0 1,0 2,0 O 2,1 0,1 1,1 0,2 1,2 2,2 18 34.3 The Reciprocl Lttice The inverse of the intersections of plne with the unit cell xes is used to find the Miller indices of the plne. The inverse of the d-spcing etween plnes ppers in expressions

More information

Lecture 3 Gaussian Probability Distribution

Lecture 3 Gaussian Probability Distribution Introduction Lecture 3 Gussin Probbility Distribution Gussin probbility distribution is perhps the most used distribution in ll of science. lso clled bell shped curve or norml distribution Unlike the binomil

More information

Lecture 23: Quantum Computation

Lecture 23: Quantum Computation princeton university cos 522: computtionl complexity Lecture 23: Quntum Computtion Lecturer: Snjeev Aror Scribe:Zhifeng Chen, Ji Xu This lecture concerns quntum computtion, n re tht hs become very populr

More information

PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS

PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS To strt on tensor clculus, we need to define differentition on mnifold.a good question to sk is if the prtil derivtive of tensor tensor on mnifold?

More information

Things to Memorize: A Partial List. January 27, 2017

Things to Memorize: A Partial List. January 27, 2017 Things to Memorize: A Prtil List Jnury 27, 2017 Chpter 2 Vectors - Bsic Fcts A vector hs mgnitude (lso clled size/length/norm) nd direction. It does not hve fixed position, so the sme vector cn e moved

More information