Entanglement vs Discord: Who Wins?

Size: px
Start display at page:

Download "Entanglement vs Discord: Who Wins?"

Transcription

1 Entanglement vs Dscord: Who Wns? Vlad Gheorghu Department of Physcs Carnege Mellon Unversty Pttsburgh, PA 15213, U.S.A. Januray 20, 2011 Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

2 Outlne 1 Introducton to Quantum Dscord 2 Entanglement vs Dscord Reference: A. Brodutch and D. Terno, PRA 83, (Rapd) (2011) A summary of ths talk s avalable onlne at Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

3 Introducton to Quantum Dscord Quantfyng (quantum) correlatons Mutual Informaton (Classcal): I (A : B) = H(A) + H(B) H(A, B) Yet another equvalent defnton (Classcal) I (A : B) = H(B) H(B A) How does one thnk operatonally about a condtonal entropy? H(B A) = a Pr(a)H(B A = a) = a Pr(a) b Pr(b a) log(pr(b a)) = a,b Pr(a, b) [log(pr(a, b)) log(pr(a))] = H(A, B) H(A) Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

4 Introducton to Quantum Dscord Quantum doman: replace H by S and classcal random varables by quantum states! How to defne the quantum condtonal entropy? There are 2 ways: 1 A smple way (but whch lacks a nce operatonal nterpretaton, and can also be negatve!!!) S(B A) = S(A, B) S(A) 2 An operatonal way, whch nvolves measurements {Π a A } on Alce s sde: S(B Π A ) = a Pr(a)S(ρ a B), Pr(a)ρ a B = Tr A (Π a A I B ρ AB Π a A I B ) and s always postve. Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

5 Introducton to Quantum Dscord They gve rse to 2 (nequvalent) ways of wrtng the quantum mutual nformaton: 1 S(A : B) = S(B) S(B A) = S(ρ A ) + S(ρ B ) S(ρ AB ), and 2 χ(a : B, Π A ) = S(B) S(B Π A ) = S(ρ B ) a Pr(a)S(ρa B ), wth a choce of {Π a A } n mnd. The second defnton s not symmetrc and depends on who s dong the measurement and also on the measurement operators! Quantum dscord (ntroduced by H. Ollver and W. H. Zurek n PRL 88, (2001)): D A (ρ AB, Π A ) = S(A : B) χ(a : B, Π A ). Sometmes an optmzaton s made over all possble measurement strateges D A (ρ AB ) = S(A : B) max {Π A } χ(a : B, Π A). Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

6 Introducton to Quantum Dscord Propertes of Quantum Dscord In a sense, dscord removes the classcal correlatons from a bpartte quantum state. D A (ρ AB ) 0 D A (ρ AB ) = 0 f and only f there exsts an orthonormal bass { ψ k } on Alce s sde such that ρ AB = k p k ψ k ψ k A ρ k B, see A. Datta, arxv: [quant-ph]. Recently Vedral et al proved n PRL 105, (2010) that D A (ρ AB ) = 0 f and only f [L n, L m ] = 0, n, m, where ρ AB = n c nl n R n s a Schmdt operator form. Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

7 Introducton to Quantum Dscord There are separable states that have non-zero quantum dscord! Example: ρ AB = 1 [ ]. Hence dscord s not an LOCC monotone! Zero dscord envronment states s a necessary and suffcent condton for CPTP evoluton! Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

8 Entanglement vs Dscord Entanglement vs Dscord Defnton A blocal mplementaton G of a gate U on some fnte set of separable states L = {ρ n } N =1 (and ther convex combnatons) s a CPTP map that s mplemented by local operatons on the subsystems A and B, asssted by unlmted classcal communcaton such that for any state ρ n L G(ρ n ) = k K k ρ n K k Uρn U = ρ out The dual map G (ρ) := k K k ρk k satsfes for all pure nput states ρ n ρ out = G(ρ n ) = Uρ n 1 = ρ out G (ρ out ) = ρ n L. Why? U s pure, hence ρ out = G(ρ n ) ρ out = ρ n G (ρ out ) Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

9 Entanglement vs Dscord If the set L s locally dstngushable, then the gate can be mplemented by LOCC (obvous). If the acton creates entanglement, then agan the mplementaton must fal! However, the absence of entanglement s not suffcent! If one restrcts the local operatons to projectve measurements and untares, then zero dscord becomes a necessary crteron for such mplementaton success. That s because local measurements on a state of non-zero dscord ncreases t s entropy, see PRA 81, (2010), whereas the gate U does not! Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

10 Entanglement vs Dscord Result 1: If a set L contans one product state ( 00 ) and the maxmally mxed state (I I )/4, and the acton of U s realzed by LOCC, then all other allowed nputs (and ther arbtrary convex combnatons) must have zero dscord! Example: the tles Fgure: Bennett et al states Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

11 Entanglement vs Dscord Result 2: If the set L contans two pure non-orthogonal states, and the untary operaton s such that D(ρ) D(UρU ), where ρ = p ψ 1 ψ 1 + (1 p) ψ 2 ψ 2, for some 0 < p < 1, then t cannot be mplemented on L by LOCC alone. Conclusons: The absence of entanglement n both nput and output does not automatcally enable a remote mplementaton by LOCC. A dscrepancy between local and global nformaton content of separable states (whch s captured by the dscord) requres entanglement for ther processng. Entanglement s requred for any gate whch changes the dscord of the states! Recent results (arxv: , arxv: ) suggest that a change n dscord rather than entanglement s the requred resource n computatonal speedup. Vlad Gheorghu (CMU) Entanglement vs Dscord: Who Wns? Januray 20, / 11

Generalized measurements to distinguish classical and quantum correlations

Generalized measurements to distinguish classical and quantum correlations Generalzed measurements to dstngush classcal and quantum correlatons. R. Usha Dev Department of physcs, angalore Unversty, angalore-560 056, Inda and. K. Rajagopal, Department of omputer Scence and enter

More information

arxiv:quant-ph/ Feb 2000

arxiv:quant-ph/ Feb 2000 Entanglement measures and the Hlbert-Schmdt dstance Masanao Ozawa School of Informatcs and Scences, Nagoya Unversty, Chkusa-ku, Nagoya 464-86, Japan Abstract arxv:quant-ph/236 3 Feb 2 In order to construct

More information

How many singlets are needed to create a bipartite state via LOCC?

How many singlets are needed to create a bipartite state via LOCC? How many snglets are needed to create a bpartte state va LOCC? Nlanjana Datta Unversty of Cambrdge,U.K. jontly wth: Francesco Buscem Unversty of Nagoya, Japan [PRL 106, 130503 (2011)] ntanglement cannot

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

arxiv: v1 [quant-ph] 6 Sep 2007

arxiv: v1 [quant-ph] 6 Sep 2007 An Explct Constructon of Quantum Expanders Avraham Ben-Aroya Oded Schwartz Amnon Ta-Shma arxv:0709.0911v1 [quant-ph] 6 Sep 2007 Abstract Quantum expanders are a natural generalzaton of classcal expanders.

More information

Quantum and Classical Information Theory with Disentropy

Quantum and Classical Information Theory with Disentropy Quantum and Classcal Informaton Theory wth Dsentropy R V Ramos rubensramos@ufcbr Lab of Quantum Informaton Technology, Department of Telenformatc Engneerng Federal Unversty of Ceara - DETI/UFC, CP 6007

More information

arxiv: v1 [quant-ph] 8 Oct 2015

arxiv: v1 [quant-ph] 8 Oct 2015 Lmtatons on entanglement as a unversal resource n multpartte systems Somshubhro Bandyopadhyay and Saronath Halder Department of Physcs and Center for Astropartcle Physcs and Space Scence, Bose Insttute,

More information

Ph 219a/CS 219a. Exercises Due: Wednesday 23 October 2013

Ph 219a/CS 219a. Exercises Due: Wednesday 23 October 2013 1 Ph 219a/CS 219a Exercses Due: Wednesday 23 October 2013 1.1 How far apart are two quantum states? Consder two quantum states descrbed by densty operators ρ and ρ n an N-dmensonal Hlbert space, and consder

More information

Explicit constructions of all separable two-qubits density matrices and related problems for three-qubits systems

Explicit constructions of all separable two-qubits density matrices and related problems for three-qubits systems Explct constructons of all separable two-qubts densty matrces and related problems for three-qubts systems Y. en-ryeh and. Mann Physcs Department, Technon-Israel Insttute of Technology, Hafa 2000, Israel

More information

10-801: Advanced Optimization and Randomized Methods Lecture 2: Convex functions (Jan 15, 2014)

10-801: Advanced Optimization and Randomized Methods Lecture 2: Convex functions (Jan 15, 2014) 0-80: Advanced Optmzaton and Randomzed Methods Lecture : Convex functons (Jan 5, 04) Lecturer: Suvrt Sra Addr: Carnege Mellon Unversty, Sprng 04 Scrbes: Avnava Dubey, Ahmed Hefny Dsclamer: These notes

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

Solution 1 for USTC class Physics of Quantum Information

Solution 1 for USTC class Physics of Quantum Information Soluton 1 for 017 018 USTC class Physcs of Quantum Informaton Shua Zhao, Xn-Yu Xu and Ka Chen Natonal Laboratory for Physcal Scences at Mcroscale and Department of Modern Physcs, Unversty of Scence and

More information

arxiv:quant-ph/ v1 16 Mar 2000

arxiv:quant-ph/ v1 16 Mar 2000 Partal Teleportaton of Entanglement n the Nosy Envronment Jnhyoung Lee, 1,2 M. S. Km, 1 Y. J. Park, 2 and S. Lee 1 School of Mathematcs and Physcs, The Queen s Unversty of Belfast, BT7 1NN, Unted Kngdom

More information

arxiv:quant-ph/ Jul 2002

arxiv:quant-ph/ Jul 2002 Lnear optcs mplementaton of general two-photon proectve measurement Andrze Grudka* and Anton Wóck** Faculty of Physcs, Adam Mckewcz Unversty, arxv:quant-ph/ 9 Jul PXOWRZVNDR]QDRODQG Abstract We wll present

More information

Efficient Optimal Control for a Unitary Operation under Dissipative Evolution

Efficient Optimal Control for a Unitary Operation under Dissipative Evolution Effcent Optmal Control for a Untary Operaton under Dsspatve Evoluton Mchael Goerz, Danel Rech, Chrstane P. Koch Unverstät Kassel March 20, 2014 DPG Frühjahrstagung 2014, Berln Sesson Q 43 Mchael Goerz

More information

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1.

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1. 7636S ADVANCED QUANTUM MECHANICS Soluton Set 1 Sprng 013 1 Warm-up Show that the egenvalues of a Hermtan operator  are real and that the egenkets correspondng to dfferent egenvalues are orthogonal (b)

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

The entanglement of purification

The entanglement of purification JOURNAL OF MATHEMATICAL PHYSICS VOLUME 43, NUMBER 9 SEPTEMBER 2002 The entanglement of purfcaton Barbara M. Terhal a) Insttute for Quantum Informaton, Calforna Insttute of Technology, Pasadena, Calforna

More information

arxiv: v1 [quant-ph] 20 Mar 2008

arxiv: v1 [quant-ph] 20 Mar 2008 Entanglement Monogamy of Trpartte Quantum States Chang-shu Yu and He-shan Song School of Physcs and Optoelectronc Technology, Dalan Unversty of Technology, Dalan 11604, P. R. Chna (Dated: November 5, 018

More information

Affine and Riemannian Connections

Affine and Riemannian Connections Affne and Remannan Connectons Semnar Remannan Geometry Summer Term 2015 Prof Dr Anna Wenhard and Dr Gye-Seon Lee Jakob Ullmann Notaton: X(M) space of smooth vector felds on M D(M) space of smooth functons

More information

Lecture 3: Probability Distributions

Lecture 3: Probability Distributions Lecture 3: Probablty Dstrbutons Random Varables Let us begn by defnng a sample space as a set of outcomes from an experment. We denote ths by S. A random varable s a functon whch maps outcomes nto the

More information

Supplementary Information

Supplementary Information Supplementary Informaton Quantum correlatons wth no causal order Ognyan Oreshkov 2 Fabo Costa Časlav Brukner 3 Faculty of Physcs Unversty of Venna Boltzmanngasse 5 A-090 Venna Austra. 2 QuIC Ecole Polytechnque

More information

arxiv: v1 [quant-ph] 26 Feb 2018

arxiv: v1 [quant-ph] 26 Feb 2018 Strong Subaddtvty Lower Bound and Quantum Channels L. R. S. Mendes 1, 2 and M. C. de Olvera 2, 1 Insttuto de Físca de São Carlos, Unversdade de São Paulo, 13560-970, São Carlos, SP, Brazl 2 Insttuto de

More information

Exhaustive Search for the Binary Sequences of Length 2047 and 4095 with Ideal Autocorrelation

Exhaustive Search for the Binary Sequences of Length 2047 and 4095 with Ideal Autocorrelation Exhaustve Search for the Bnary Sequences of Length 047 and 4095 wth Ideal Autocorrelaton 003. 5. 4. Seok-Yong Jn and Hong-Yeop Song. Yonse Unversty Contents Introducton Background theory Ideal autocorrelaton

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

Computing Correlated Equilibria in Multi-Player Games

Computing Correlated Equilibria in Multi-Player Games Computng Correlated Equlbra n Mult-Player Games Chrstos H. Papadmtrou Presented by Zhanxang Huang December 7th, 2005 1 The Author Dr. Chrstos H. Papadmtrou CS professor at UC Berkley (taught at Harvard,

More information

CSCE 790S Background Results

CSCE 790S Background Results CSCE 790S Background Results Stephen A. Fenner September 8, 011 Abstract These results are background to the course CSCE 790S/CSCE 790B, Quantum Computaton and Informaton (Sprng 007 and Fall 011). Each

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN FINITELY-GENERTED MODULES OVER PRINCIPL IDEL DOMIN EMMNUEL KOWLSKI Throughout ths note, s a prncpal deal doman. We recall the classfcaton theorem: Theorem 1. Let M be a fntely-generated -module. (1) There

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

An Introduction to Morita Theory

An Introduction to Morita Theory An Introducton to Morta Theory Matt Booth October 2015 Nov. 2017: made a few revsons. Thanks to Nng Shan for catchng a typo. My man reference for these notes was Chapter II of Bass s book Algebrac K-Theory

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem.

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem. prnceton u. sp 02 cos 598B: algorthms and complexty Lecture 20: Lft and Project, SDP Dualty Lecturer: Sanjeev Arora Scrbe:Yury Makarychev Today we wll study the Lft and Project method. Then we wll prove

More information

Ph 219a/CS 219a. Exercises Due: Wednesday 12 November 2008

Ph 219a/CS 219a. Exercises Due: Wednesday 12 November 2008 1 Ph 19a/CS 19a Exercses Due: Wednesday 1 November 008.1 Whch state dd Alce make? Consder a game n whch Alce prepares one of two possble states: ether ρ 1 wth a pror probablty p 1, or ρ wth a pror probablty

More information

Appendix B. Criterion of Riemann-Stieltjes Integrability

Appendix B. Criterion of Riemann-Stieltjes Integrability Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for

More information

arxiv: v3 [quant-ph] 24 Dec 2016

arxiv: v3 [quant-ph] 24 Dec 2016 Lower and upper bounds for entanglement of Rény- entropy We Song,, Ln Chen 2,3,, and Zhuo-Lang Cao arxv:604.02783v3 [quant-ph] 24 Dec 206 Insttute for Quantum Control and Quantum Informaton, and School

More information

Constructing mutually unbiased bases from quantum Latin squares

Constructing mutually unbiased bases from quantum Latin squares Constructng mutually unbased bases from quantum Latn squares Benjamn Musto benjamn.musto@cs.ox.ac.uk Department of Computer Scence, Unversty of Oxford Saturday 28 th May, 2016 Abstract We ntroduce orthogonal

More information

arxiv: v2 [quant-ph] 25 Dec 2013

arxiv: v2 [quant-ph] 25 Dec 2013 A comparson of old and new defntons of the geometrc measure of entanglement Ln Chen 1, Martn Aulbach 2, Mchal Hajdušek 3 arxv:1308.0806v2 [quant-ph] 25 Dec 2013 1 Department of Pure Mathematcs and Insttute

More information

The Second Anti-Mathima on Game Theory

The Second Anti-Mathima on Game Theory The Second Ant-Mathma on Game Theory Ath. Kehagas December 1 2006 1 Introducton In ths note we wll examne the noton of game equlbrum for three types of games 1. 2-player 2-acton zero-sum games 2. 2-player

More information

Lecture 14: Forces and Stresses

Lecture 14: Forces and Stresses The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal

More information

für Mathematik in den Naturwissenschaften Leipzig

für Mathematik in den Naturwissenschaften Leipzig ŠܹÈÐ Ò ¹ÁÒ Ø ØÙØ für Mathematk n den Naturwssenschaften Lepzg Bounds for multpartte concurrence by Mng L, Shao-Mng Fe, and Zh-X Wang Preprnt no.: 11 010 Bounds for multpartte concurrence Mng L 1, Shao-Mng

More information

2 More examples with details

2 More examples with details Physcs 129b Lecture 3 Caltech, 01/15/19 2 More examples wth detals 2.3 The permutaton group n = 4 S 4 contans 4! = 24 elements. One s the dentty e. Sx of them are exchange of two objects (, j) ( to j and

More information

arxiv: v3 [quant-ph] 14 Feb 2013

arxiv: v3 [quant-ph] 14 Feb 2013 Quantum correlatons wth no causal order Ognyan Oreshkov,, Fabo Costa, Časlav Brukner,3 Faculty of Physcs, Unversty of Venna, Boltzmanngasse 5, A-090 Venna, Austra. QuIC, Ecole Polytechnque, CP 65, Unversté

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

Another converse of Jensen s inequality

Another converse of Jensen s inequality Another converse of Jensen s nequalty Slavko Smc Abstract. We gve the best possble global bounds for a form of dscrete Jensen s nequalty. By some examples ts frutfulness s shown. 1. Introducton Throughout

More information

A Simple Inventory System

A Simple Inventory System A Smple Inventory System Lawrence M. Leems and Stephen K. Park, Dscrete-Event Smulaton: A Frst Course, Prentce Hall, 2006 Hu Chen Computer Scence Vrgna State Unversty Petersburg, Vrgna February 8, 2017

More information

Communication Complexity 16:198: February Lecture 4. x ij y ij

Communication Complexity 16:198: February Lecture 4. x ij y ij Communcaton Complexty 16:198:671 09 February 2010 Lecture 4 Lecturer: Troy Lee Scrbe: Rajat Mttal 1 Homework problem : Trbes We wll solve the thrd queston n the homework. The goal s to show that the nondetermnstc

More information

The Cost of Randomness for Converting a Tripartite Quantum State to be Approximately Recoverable

The Cost of Randomness for Converting a Tripartite Quantum State to be Approximately Recoverable The Cost of Randomness for Convertng a Trpartte Quantum State to be Approxmately Recoverable Eyur Waauwa, Ahto Soeda, Mo Murao Graduate School of Informaton Systems, The Unversty of Electro-Communcatons,

More information

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0 Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of

More information

QUANTUM MARKOVIAN DYNAMICS AND BIPARTITE ENTANGLEMENT

QUANTUM MARKOVIAN DYNAMICS AND BIPARTITE ENTANGLEMENT UNIVERSITÀ DEGLI STUDI DI TRIESTE Sede ammnstratva del Dottorato d Rcerca DIPARTIMENTO DI FISICA TEORICA XXII CICLO DEL DOTTORATO DI RICERCA IN FISICA QUANTUM MARKOVIAN DYNAMICS AND BIPARTITE ENTANGLEMENT

More information

Modulo Magic Labeling in Digraphs

Modulo Magic Labeling in Digraphs Gen. Math. Notes, Vol. 7, No., August, 03, pp. 5- ISSN 9-784; Copyrght ICSRS Publcaton, 03 www.-csrs.org Avalable free onlne at http://www.geman.n Modulo Magc Labelng n Dgraphs L. Shobana and J. Baskar

More information

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars

More information

Modeling of Risk Treatment Measurement Model under Four Clusters Standards (ISO 9001, 14001, 27001, OHSAS 18001)

Modeling of Risk Treatment Measurement Model under Four Clusters Standards (ISO 9001, 14001, 27001, OHSAS 18001) Avalable onlne at www.scencedrect.com Proceda Engneerng 37 (202 ) 354 358 The Second SREE Conference on Engneerng Modelng and Smulaton Modelng of Rsk Treatment Measurement Model under Four Clusters Standards

More information

Differential Polynomials

Differential Polynomials JASS 07 - Polynomals: Ther Power and How to Use Them Dfferental Polynomals Stephan Rtscher March 18, 2007 Abstract Ths artcle gves an bref ntroducton nto dfferental polynomals, deals and manfolds and ther

More information

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton

More information

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper Games of Threats Elon Kohlberg Abraham Neyman Workng Paper 18-023 Games of Threats Elon Kohlberg Harvard Busness School Abraham Neyman The Hebrew Unversty of Jerusalem Workng Paper 18-023 Copyrght 2017

More information

Externalities in wireless communication: A public goods solution approach to power allocation. by Shrutivandana Sharma

Externalities in wireless communication: A public goods solution approach to power allocation. by Shrutivandana Sharma Externaltes n wreless communcaton: A publc goods soluton approach to power allocaton by Shrutvandana Sharma SI 786 Tuesday, Feb 2, 2006 Outlne Externaltes: Introducton Plannng wth externaltes Power allocaton:

More information

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium?

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium? APPLIED WELFARE ECONOMICS AND POLICY ANALYSIS Welfare Propertes of General Equlbrum What can be sad about optmalty propertes of resource allocaton mpled by general equlbrum? Any crteron used to compare

More information

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0 Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the

More information

One-Shot Quantum Information Theory I: Entropic Quantities. Nilanjana Datta University of Cambridge,U.K.

One-Shot Quantum Information Theory I: Entropic Quantities. Nilanjana Datta University of Cambridge,U.K. One-Shot Quantu Inforaton Theory I: Entropc Quanttes Nlanjana Datta Unversty of Cabrdge,U.K. In Quantu nforaton theory, ntally one evaluated: optal rates of nfo-processng tasks, e.g., data copresson, transsson

More information

Grover s Algorithm + Quantum Zeno Effect + Vaidman

Grover s Algorithm + Quantum Zeno Effect + Vaidman Grover s Algorthm + Quantum Zeno Effect + Vadman CS 294-2 Bomb 10/12/04 Fall 2004 Lecture 11 Grover s algorthm Recall that Grover s algorthm for searchng over a space of sze wors as follows: consder the

More information

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

More information

arxiv: v2 [quant-ph] 13 Jan 2018 January 16, 2018

arxiv: v2 [quant-ph] 13 Jan 2018 January 16, 2018 Approxmate Quantum Error Correcton Revsted: Introducng the Alpha-bt Patrck Hayden and Geoffrey Penngton Stanford Insttute for Theoretcal Physcs, Stanford Unversty, Stanford CA 94305 USA arxv:706.09434v2

More information

Phys304 Quantum Physics II (2005) Quantum Mechanics Summary. 2. This kind of behaviour can be described in the mathematical language of vectors:

Phys304 Quantum Physics II (2005) Quantum Mechanics Summary. 2. This kind of behaviour can be described in the mathematical language of vectors: MACQUARIE UNIVERSITY Department of Physcs Dvson of ICS Phys304 Quantum Physcs II (2005) Quantum Mechancs Summary The followng defntons and concepts set up the basc mathematcal language used n quantum mechancs,

More information

Time-Varying Systems and Computations Lecture 6

Time-Varying Systems and Computations Lecture 6 Tme-Varyng Systems and Computatons Lecture 6 Klaus Depold 14. Januar 2014 The Kalman Flter The Kalman estmaton flter attempts to estmate the actual state of an unknown dscrete dynamcal system, gven nosy

More information

Operational quantum theory without predefined time

Operational quantum theory without predefined time Operatonal quantum theory wthout predefned tme Ognyan Oreshkov and Ncolas J. Cerf QuIC, Ecole Polytechnque de Bruxelles, CP 165, nversté Lbre de Bruxelles, 1050 Brussels, Belgum. noton of operaton was

More information

Errors for Linear Systems

Errors for Linear Systems Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch

More information

e i is a random error

e i is a random error Chapter - The Smple Lnear Regresson Model The lnear regresson equaton s: where + β + β e for,..., and are observable varables e s a random error How can an estmaton rule be constructed for the unknown

More information

Effects of Ignoring Correlations When Computing Sample Chi-Square. John W. Fowler February 26, 2012

Effects of Ignoring Correlations When Computing Sample Chi-Square. John W. Fowler February 26, 2012 Effects of Ignorng Correlatons When Computng Sample Ch-Square John W. Fowler February 6, 0 It can happen that ch-square must be computed for a sample whose elements are correlated to an unknown extent.

More information

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION talan journal of pure appled mathematcs n. 33 2014 (63 70) 63 SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION M.R. Farhangdoost Department of Mathematcs College of Scences Shraz Unversty Shraz, 71457-44776

More information

Group Analysis of Ordinary Differential Equations of the Order n>2

Group Analysis of Ordinary Differential Equations of the Order n>2 Symmetry n Nonlnear Mathematcal Physcs 997, V., 64 7. Group Analyss of Ordnary Dfferental Equatons of the Order n> L.M. BERKOVICH and S.Y. POPOV Samara State Unversty, 4430, Samara, Russa E-mal: berk@nfo.ssu.samara.ru

More information

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016 U.C. Berkeley CS94: Spectral Methods and Expanders Handout 8 Luca Trevsan February 7, 06 Lecture 8: Spectral Algorthms Wrap-up In whch we talk about even more generalzatons of Cheeger s nequaltes, and

More information

Pauli measurements are universal

Pauli measurements are universal QPL 2005 Prelmnary Verson Paul measurements are unversal Vncent Danos 1 CNRS & Unversté Pars 7 Elham Kashef 2 IQC & Unversty of Waterloo Abstract We show that a varant of the one-way model where one only

More information

PHYS 215C: Quantum Mechanics (Spring 2017) Problem Set 3 Solutions

PHYS 215C: Quantum Mechanics (Spring 2017) Problem Set 3 Solutions PHYS 5C: Quantum Mechancs Sprng 07 Problem Set 3 Solutons Prof. Matthew Fsher Solutons prepared by: Chatanya Murthy and James Sully June 4, 07 Please let me know f you encounter any typos n the solutons.

More information

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

More information

Optimization Methods for Engineering Design. Logic-Based. John Hooker. Turkish Operational Research Society. Carnegie Mellon University

Optimization Methods for Engineering Design. Logic-Based. John Hooker. Turkish Operational Research Society. Carnegie Mellon University Logc-Based Optmzaton Methods for Engneerng Desgn John Hooker Carnege Mellon Unerst Turksh Operatonal Research Socet Ankara June 1999 Jont work wth: Srnas Bollapragada General Electrc R&D Omar Ghattas Cl

More information

Solution 1 for USTC class Physics of Quantum Information

Solution 1 for USTC class Physics of Quantum Information Soluton 1 for 018 019 USTC class Physcs of Quantum Informaton Shua Zhao, Xn-Yu Xu and Ka Chen Natonal Laboratory for Physcal Scences at Mcroscale and Department of Modern Physcs, Unversty of Scence and

More information

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there

More information

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2].

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2]. Bulletn of Mathematcal Scences and Applcatons Submtted: 016-04-07 ISSN: 78-9634, Vol. 18, pp 1-10 Revsed: 016-09-08 do:10.1805/www.scpress.com/bmsa.18.1 Accepted: 016-10-13 017 ScPress Ltd., Swtzerland

More information

Introduction. - The Second Lyapunov Method. - The First Lyapunov Method

Introduction. - The Second Lyapunov Method. - The First Lyapunov Method Stablty Analyss A. Khak Sedgh Control Systems Group Faculty of Electrcal and Computer Engneerng K. N. Toos Unversty of Technology February 2009 1 Introducton Stablty s the most promnent characterstc of

More information

Ali Omer Alattass Department of Mathematics, Faculty of Science, Hadramout University of science and Technology, P. O. Box 50663, Mukalla, Yemen

Ali Omer Alattass Department of Mathematics, Faculty of Science, Hadramout University of science and Technology, P. O. Box 50663, Mukalla, Yemen Journal of athematcs and Statstcs 7 (): 4448, 0 ISSN 5493644 00 Scence Publcatons odules n σ[] wth Chan Condtons on Small Submodules Al Omer Alattass Department of athematcs, Faculty of Scence, Hadramout

More information

Homework Notes Week 7

Homework Notes Week 7 Homework Notes Week 7 Math 4 Sprng 4 #4 (a Complete the proof n example 5 that s an nner product (the Frobenus nner product on M n n (F In the example propertes (a and (d have already been verfed so we

More information

ESCI 341 Atmospheric Thermodynamics Lesson 10 The Physical Meaning of Entropy

ESCI 341 Atmospheric Thermodynamics Lesson 10 The Physical Meaning of Entropy ESCI 341 Atmospherc Thermodynamcs Lesson 10 The Physcal Meanng of Entropy References: An Introducton to Statstcal Thermodynamcs, T.L. Hll An Introducton to Thermodynamcs and Thermostatstcs, H.B. Callen

More information

ECE 534: Elements of Information Theory. Solutions to Midterm Exam (Spring 2006)

ECE 534: Elements of Information Theory. Solutions to Midterm Exam (Spring 2006) ECE 534: Elements of Informaton Theory Solutons to Mdterm Eam (Sprng 6) Problem [ pts.] A dscrete memoryless source has an alphabet of three letters,, =,, 3, wth probabltes.4,.4, and., respectvely. (a)

More information

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws Representaton theory and quantum mechancs tutoral Representaton theory and quantum conservaton laws Justn Campbell August 1, 2017 1 Generaltes on representaton theory 1.1 Let G GL m (R) be a real algebrac

More information

NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules

NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules EVAN WILSON Quantum groups Consder the Le algebra sl(n), whch s the Le algebra over C of n n trace matrces together wth the commutator

More information

Complete subgraphs in multipartite graphs

Complete subgraphs in multipartite graphs Complete subgraphs n multpartte graphs FLORIAN PFENDER Unverstät Rostock, Insttut für Mathematk D-18057 Rostock, Germany Floran.Pfender@un-rostock.de Abstract Turán s Theorem states that every graph G

More information

LECTURE 9 CANONICAL CORRELATION ANALYSIS

LECTURE 9 CANONICAL CORRELATION ANALYSIS LECURE 9 CANONICAL CORRELAION ANALYSIS Introducton he concept of canoncal correlaton arses when we want to quantfy the assocatons between two sets of varables. For example, suppose that the frst set of

More information

ON THE EXTENDED HAAGERUP TENSOR PRODUCT IN OPERATOR SPACES. 1. Introduction

ON THE EXTENDED HAAGERUP TENSOR PRODUCT IN OPERATOR SPACES. 1. Introduction ON THE EXTENDED HAAGERUP TENSOR PRODUCT IN OPERATOR SPACES TAKASHI ITOH AND MASARU NAGISA Abstract We descrbe the Haagerup tensor product l h l and the extended Haagerup tensor product l eh l n terms of

More information

6. Stochastic processes (2)

6. Stochastic processes (2) Contents Markov processes Brth-death processes Lect6.ppt S-38.45 - Introducton to Teletraffc Theory Sprng 5 Markov process Consder a contnuous-tme and dscrete-state stochastc process X(t) wth state space

More information

Fuzzy Boundaries of Sample Selection Model

Fuzzy Boundaries of Sample Selection Model Proceedngs of the 9th WSES Internatonal Conference on ppled Mathematcs, Istanbul, Turkey, May 7-9, 006 (pp309-34) Fuzzy Boundares of Sample Selecton Model L. MUHMD SFIIH, NTON BDULBSH KMIL, M. T. BU OSMN

More information

6. Stochastic processes (2)

6. Stochastic processes (2) 6. Stochastc processes () Lect6.ppt S-38.45 - Introducton to Teletraffc Theory Sprng 5 6. Stochastc processes () Contents Markov processes Brth-death processes 6. Stochastc processes () Markov process

More information

a b a In case b 0, a being divisible by b is the same as to say that

a b a In case b 0, a being divisible by b is the same as to say that Secton 6.2 Dvsblty among the ntegers An nteger a ε s dvsble by b ε f there s an nteger c ε such that a = bc. Note that s dvsble by any nteger b, snce = b. On the other hand, a s dvsble by only f a = :

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

More information

Week 2. This week, we covered operations on sets and cardinality.

Week 2. This week, we covered operations on sets and cardinality. Week 2 Ths week, we covered operatons on sets and cardnalty. Defnton 0.1 (Correspondence). A correspondence between two sets A and B s a set S contaned n A B = {(a, b) a A, b B}. A correspondence from

More information

arxiv: v2 [quant-ph] 24 Aug 2012

arxiv: v2 [quant-ph] 24 Aug 2012 Quantum-correlaton breakng channels, broadcastng scenaros, and fnte Markov chans arv:208.262v2 [quant-ph] 24 Aug 202 J. K. Korbcz,, P. Horodeck, 2,3 and R. Horodeck 4,3 ICFO-Insttut de Cènces Fotònques,

More information

STEINHAUS PROPERTY IN BANACH LATTICES

STEINHAUS PROPERTY IN BANACH LATTICES DEPARTMENT OF MATHEMATICS TECHNICAL REPORT STEINHAUS PROPERTY IN BANACH LATTICES DAMIAN KUBIAK AND DAVID TIDWELL SPRING 2015 No. 2015-1 TENNESSEE TECHNOLOGICAL UNIVERSITY Cookevlle, TN 38505 STEINHAUS

More information

Dirichlet s Theorem In Arithmetic Progressions

Dirichlet s Theorem In Arithmetic Progressions Drchlet s Theorem In Arthmetc Progressons Parsa Kavkan Hang Wang The Unversty of Adelade February 26, 205 Abstract The am of ths paper s to ntroduce and prove Drchlet s theorem n arthmetc progressons,

More information