Operator-Schmidt Decompositions And the Fourier Transform:

Similar documents
Principles of Quantum Mechanics Pt. 2

Maximal vectors in Hilbert space and quantum entanglement

Linear Algebra and Dirac Notation, Pt. 3

Quantum Computing Lecture 2. Review of Linear Algebra

Quantum entanglement and symmetry

Algebraic Theory of Entanglement

Quantum decoherence. Éric Oliver Paquette (U. Montréal) -Traces Worshop [Ottawa]- April 29 th, Quantum decoherence p. 1/2

Quantum Computing Lecture 3. Principles of Quantum Mechanics. Anuj Dawar

MP 472 Quantum Information and Computation

The Principles of Quantum Mechanics: Pt. 1

CS286.2 Lecture 8: A variant of QPCP for multiplayer entangled games

Lecture 3: Hilbert spaces, tensor products

Hilbert Space, Entanglement, Quantum Gates, Bell States, Superdense Coding.

THE NUMBER OF ORTHOGONAL CONJUGATIONS

Linear Algebra and Dirac Notation, Pt. 1

Permutations and quantum entanglement

Quantum Mechanics II: Examples

CHAPTER 6. Representations of compact groups

Lecture 4: Postulates of quantum mechanics

Representation theory and quantum mechanics tutorial Spin and the hydrogen atom

From Bernstein approximation to Zauner s conjecture

Time Evolving Block Decimation Algorithm

Einstein-Hilbert action on Connes-Landi noncommutative manifolds

Unitary evolution: this axiom governs how the state of the quantum system evolves in time.

The quantum state as a vector

arxiv: v1 [quant-ph] 24 May 2011

Topics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem

Optimal Realizations of Controlled Unitary Gates

Chapter 2 The Density Matrix

Elementary linear algebra

Nullity of Measurement-induced Nonlocality. Yu Guo

MAT 445/ INTRODUCTION TO REPRESENTATION THEORY

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Fermionic coherent states in infinite dimensions

On a Block Matrix Inequality quantifying the Monogamy of the Negativity of Entanglement

. Here we are using the standard inner-product over C k to define orthogonality. Recall that the inner-product of two vectors φ = i α i.

1 Mathematical preliminaries

Factoring on a Quantum Computer

Frustration-free Ground States of Quantum Spin Systems 1

MP463 QUANTUM MECHANICS

BOGOLIUBOV TRANSFORMATIONS AND ENTANGLEMENT OF TWO FERMIONS

The Framework of Quantum Mechanics

Short Course in Quantum Information Lecture 2

1. Basic rules of quantum mechanics

1 Readings. 2 Unitary Operators. C/CS/Phys C191 Unitaries and Quantum Gates 9/22/09 Fall 2009 Lecture 8

ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA

Lecture notes on Quantum Computing. Chapter 1 Mathematical Background

REPRESENTATION THEORY WEEK 7

arxiv: v2 [quant-ph] 16 Nov 2018

arxiv: v3 [quant-ph] 11 Dec 2018

arxiv:quant-ph/ v1 19 Mar 2006

1 More on the Bloch Sphere (10 points)

Ph 219/CS 219. Exercises Due: Friday 20 October 2006

4 Matrix product states

Quantum Symmetries and Cartan Decompositions in Arbitrary Dimensions

Frustration-free Ground States of Quantum Spin Systems 1

C/CS/Phys 191 Quantum Gates and Universality 9/22/05 Fall 2005 Lecture 8. a b b d. w. Therefore, U preserves norms and angles (up to sign).

Classification of Tripartite Entanglement with one Qubit. Marcio F. Cornelio and A. F. R. de Toledo Piza

Symplectic Structures in Quantum Information

Local cloning of entangled states

Topological Qubit Design and Leakage

Lecture 2: Linear operators

Compression and entanglement, entanglement transformations

A remarkable representation of the Clifford group

Introduction to Quantum Information Processing QIC 710 / CS 768 / PH 767 / CO 681 / AM 871

Entanglement Measures and Monotones

2. Introduction to quantum mechanics

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C :

The Cayley-Hamilton Theorem and the Jordan Decomposition

Compression, Matrix Range and Completely Positive Map

On PPT States in C K C M C N Composite Quantum Systems

GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory.

Entanglement in Quantum Field Theory

b) (5 points) Give a simple quantum circuit that transforms the state

Distinguishing different classes of entanglement for three qubit pure states

Probabilistic exact cloning and probabilistic no-signalling. Abstract

Topics in Representation Theory: The Weyl Integral and Character Formulas

3 Symmetry Protected Topological Phase

QUANTUM INFORMATION -THE NO-HIDING THEOREM p.1/36

Introduction to Quantum Information Hermann Kampermann

Decomposition of Quantum Gates

Introduction to the Mathematics of the XY -Spin Chain

Kac-Moody Algebras. Ana Ros Camacho June 28, 2010

Efficient time evolution of one-dimensional quantum systems

Selection rules - electric dipole

Chapter III. Quantum Computation. Mathematical preliminaries. A.1 Complex numbers. A.2 Linear algebra review

Quantum Information & Quantum Computing

Instantaneous Nonlocal Measurements

Weyl Group Representations and Unitarity of Spherical Representations.

Unitary Dynamics and Quantum Circuits

Chiral Haldane-SPT phases of SU(N) quantum spin chains in the adjoint representation

Tensors and complexity in quantum information science

INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD

Mic ael Flohr Representation theory of semi-simple Lie algebras: Example su(3) 6. and 20. June 2003

Linear Algebra using Dirac Notation: Pt. 2

The following definition is fundamental.

Quantum Circuits for Incompletely Specified Two-Qubit Operators

On positive maps in quantum information.

Quantum expanders from any classical Cayley graph expander

Representation Theory

Transcription:

Operator-Schmidt Decompositions And the Fourier Transform: Jon E. Tyson Research Assistant Physics Department, Harvard University jonetyson@post.harvard.edu Simons Foundation Conference on Quantum and Reversible Computation May 31, 2003 1

The following transparancies (except for this one) are just as given in my talk to facilitate web-surfers listening to the talk audio. My paper of the same title, will appear on the Archive within one day from the time these transparancies are posted. The construction of a two-qutrit unitary with Schmidt number 4 has since been carried out. (It was trivial, but I left it as an open problem.) Note however, that if I were giving this talk again today, I would include material from the following paper, (as is explained in the arxiv version): W. Dür, G. Vidal, J. I. Cirac, Optimal conversion of nonlocal unitary operations, Phys. Rev. Lett. 89 (2002), 057901. Their paper connects the study of operator-schmidt numbers with probabilistic interconversion of unitary operators aided by (S)LOCC. Furthermore, they first discovered the fact that two-qubit unitaries have Schmidt numbers 1, 2, or 4. (I attributed this to Nielsen et. al, who rediscovered this subsequently, but didn t explain the significance of this fact in terms of (S)LOCC.) 2

1.Motivation of the operator-schmidt decomposition: Nielsen s coherent communication complexity bound (and a slight generalization). Nielsen et. al, Quantum Dynamics as a Physical Resource, (To appear in Phys Rev A; quant-ph/0208077 ) & other work of Nielsen 2. Apply (1) to show the communication complexity of the quantum Fourier transform is maximal, generalizing previous special cases of Nielsen and Nielsen et al. (See quant-ph/0210100) 3. Operator-Schmidt decompositions computed using the Fourier transform: A. Application to operator-schmidt number of unitaries. B. Construction of maximally-entangled unitaries on C n C n. 4. Remarks on the magic basis of Hill and Wootters. (Time permitting) 3

Communication Complexity alice, bob, eve.jpg 4

Strength measures S (V ) of linear operations V : Desirable properties: Nonnegativity: S (V ) 0, Chaining: S (V W ) S (V ) + S (W ), H W K V L Locality: S (U 1 U 2... U M ) = 0, (U α local unitaries) Nielsen et. al, Quantum Dynamics as a Physical Resource, (To appear in Phys Rev A; quant-ph/0208077 ) 5

Ancilla Reduction alice, bob, charlie.jpg U ψ A B C = 0, 0, 0 A1 B 1 C 1 V ψ A B C 0, 0, 0 A0 B 0 C 0 = S (U) S (V ) Nielsen et al also consider other properties... 6

Complexity Bounds using Strength Measures If V is the implementation of U using ancilla, and V is decomposed into gates and local unitaries V = (C 0 D 0 ) G 1 (C 1 D 1 ) G 2...G n (C n D n ), then n S (U) S (V ) S (G k ) k=1 (Nielsen et al, 2002) 7

Strength from the Minimal Definition 1 Let W : A B C A B C be nonzero. An expression W = l A j B j C j, j=1 A j : A A, ect. is called a minimal decomposition if there is no other such expression with a fewer than l terms. The smallest such l is called the minimal length of W, and denoted ML (W ). The minimal strength is S min (W ) = log 2 ML (W ). 8

Properties of Minimal Strength: Chaining Suppose V and W have minimal depositions V = A 1 B 1 + A 2 B 2 W = C 1 D 1 + C 2 D 2 H K where V L M W Q R Then V W = A 1 C 1 B 1 D 1 + A 1 C 2 B 1 D 2 + A 2 C 1 B 2 D 1 + A 2 C 2 B 2 D 2. ML (V W ) ML (V ) ML (W ) Taking logs, S min(v W ) Smin(V )+Smin(W ) 9

Two tensor products Let W : A A X : B B W X : A B A B φ ψ (W φ) (Xψ) W X B (A A ) B (B B ) W 1, W 2 B(H H ) = Tr W 1 W 2 10

Since i A i B i, j C j D j B(A A ) B(B B ) = i,j A i, C j B(A A ) B i, D j B(B B ) = i A i B i, j C j D j There exists a natural isomorphism B(A B A B ) Ω : B (A A ) B (B B ) B (A B A B ) C D C D 11

Properties of Minimal Strength: General Reduction V min = A 1 B 1 + A 2 B 2 +... (P 1 P 2 )V = P 1 (A 1 ) P 2 (B 1 ) + P 1 (A 2 ) P 2 (B 2 ) +... S min satisfies the General reduction property: S min ((P 1... P M ) V ) S min (V ) for V : H 1... H M H 1... H M and P k : B (H k H k ) B (H k H k ) 12

General Reduction = Ancilla Reduction Suppose U is implemented using ancilla: U ψ A B = 0 A1 B 1 V ψ A B 0 A0 B 0 Define by P A : B (A A 0 A A 1 ) B (A A) Then P A (W A ) ψ A = 0 A1 W A ψ A 0 A0 U = (P A P B P C ) V and ancilla reduction follows: S min (U) S min (V ) 13

We have proved the minimal strength satisfies the desired properties, but How can one compute it? 14

The Generalized operator-schmidt decomposition W = W : A B A B Sch(W ) i=1 λ i A i B i, λ i > 0 where A i : A A and B i : B B are orthonormal: Tr A i A j = Tr B i B j = δ ij. and define the Generalized Hartley Strength S har (W ) log 2 Sch (W ) 15

Operator-Schmidt decomposition is just (vector)-schmidt decomposition W B (H K H K ) Ω W B (H H ) B (K K ) Ω W = λ i A i B i W = λ i A i B i 16

U, W B (H K H K ) have the same Schmidt coefficients U = (A B) V for unitary operator-operators A : B (H H ) B (H H ), B : B (K K ) B (K K ) One would like invariants which determine much more: Open Problem (except for qubits): When does U = (C D) V (E F ) for local unitaries C, D, E, F?? 17

Theorem (Nielsen): S har (U) = S min (U) for bipartite U. Proof. U : A B A B Note that U = Sch(U) k=1 Span ({D k }) = Taking a minimal decomposition λ k C k D k = S min (U) S har (U). { E B(H) U B(H K) E : H H } U = ML(U) k=1 G k H k then { } E B(H H ) U B(H K H K ) E : H H Span ({H k }) S har (U) S min 18

The Communication Operator The communication operator : C : (C n 1 C n 2 ) C n 3 C n 1 (C n 2 C n 3 ) ( a b ) c a ( b c). C has generalized Schmidt decomposition where C = A j = n 2 j=1 n 1 i=1 In particular Sch (C) = n 2. A j B j, (Normalization ignored) i ij and B j = n 3 k=1 jk k. A j B j lm n = δ jm l mn 19

Nielsen s Coherent Communication Bound (slight generalization to qudits and to allow net data transfer) Theorem If U : A B A B is implemented using ancilla, local operations, and quantum communication (NO CC!) then N d log 2 (d) S har (U), where d=2 N d = The number of qudits of dimension d communicated Nielsen s complexity bound is: S har (U A B A B ) S ( ) har VA0 A B B 0 A 1 A B B 1 n S har (G k ) k=1 where V is the implementation of U using ancilla. 20

References for Nielsen s Communication Bound (all take U : H K H K and consider qubits.) 1. M. A. Nielsen, Ph.D. Thesis, University of New Mexico, 1998, Chapter 6; quant-ph/0011036. 2 N d log 2 (d) 1 2 S har (U), d=2 2. M. A. Nielsen, Entanglement and distributed quantum computation, Talk at the Benasque Center for Physics, July 19, 2000; URL: http://www.qinfo.org/talks/index.html. Proved 2 N d log 2 (d) S har (U), d=2 using a clever argument using reference states, working on the level of vectors. 3. M. A. Nielsen et al, Quantum dynamics as a physical resource, (accepted for publication in Phys. Rev. A); quant-ph/0208077. Used (ungeneralized) Hartley strength + SWAP to prove 2 N d log 2 (d) 1 2 S har (U), d=2 21

Application: Communication complexity of the QFT F : C M 1 C M 2 C N 1 C N 2, N = M 1 M 2 = N 1 N 2 Alice Bob Before } {{ } dim M 1 } {{ } dim M 2 After }{{} dim N 1 }{{} dim N 2 What is maximal communication complexity? 22

Maximal Communication Complexity F : C M 1 C M 2 C N 1 C N 2, N = M 1 M 2 = N 1 N 2 Alice Bob Before } {{ } dim M 1 } {{ } dim M 2 After Trivial upper bound: }{{} dim N 1 }{{} dim N }{{} dim N 2 Q 0 ( FC M 1 C M 2 C N 1 C N 2) log2 min (N 1 M 1, N 2 M 2 ) 23

The QFT using Mixed-Decimals N = M 1 M 2 = N 1 N 2. F M 1 M 2 N 1 N 2 : C M 1 C M 2 C N F N C N C N 1 C N 2 k 1 M1 k 2 M2 k 1 M 2 + k 2 N 1 N 1 N N 1 s=0 exp ( 2πi N (k 1M 2 + k 2 ) s ) s N N1 1 p 1 =0 N2 1 p 2 =0 exp ( 2πi N (k 1M 2 + k 2 ) (p 1 N 2 + p 2 ) ) p 1 N1 p 2 N2 24

Warning F N1 N 2 M 1 M 2 does NOT in general have Schmidt coefficients related in any way to that of to F N2 N 1 M 1 M 2, F N1 N 2 M 2 M 1 or F N2 N 1 M 2 M 1. The Fourier transform knows which digit in the mixed-decimal expansion is the high-order qudit. 25

let ω = exp (2πi/10) 10FC 2 C 5 C 2 C 5 = + [ 1 1 1 ω 25 ] [ 1 1 ω 5 ω 30 ] ω 0 ω 0 ω 0 ω 0 ω 4 ω 8 ω 0 ω 8 ω 16 ω 0 ω 0 ω 2 ω 6 ω 4 ω 12 + one omitted term [ ] 1 ω 5 ω 1 ω 3 + ω 5 ω 35 ω 3 ω 9 26

Example: F : C 2 C 6 C 4 C 3 ω = exp ( ) 2πi 12 12F = + +... + +... 1 1 1 ω 15 1 ω 30 1 ω 45 1 1 ω 5 ω 20 ω 10 ω 40 ω 15 ω 60 1 ω 3 1 ω 18 1 ω 33 1 ω 48 1 1 1 ω 8 1 1 ω 2 ω 10 1 ω 4 27

Theorem: (Operator-Schmidt decomposition of the QFT) F M1 M 2 N 1 N 2 = λ c A C B C, C where N = N 1 N 2 = M 1 M 2, and C is a red equivalence class of Z N2 Z M2 mod M 1, N 1 : λ C = (A C ) jk = (B C ) jk = N1 M 1 Card (C) N [ 1 2πi ( exp N2 M 2 jk + M 2 kŝ + N 2 jˆt )], ( ŝ, ˆt ) C N1 M 1 N { ( 1 exp 2πi N jk) if (j, k) C Card (C) 0 otherwise 28

Corollary: The Communiciation Complexity of the QFT is Maximal in all cases. 29

Problems (Some open): 1. How much quantum communication is required to implement U n, if one allows a small error which is negligible (in some appropriate sense) for large n? (open) (Warning: Nielsen et al show that the entanglement of U : H K H K as an element of B (H H ) B (K K ) does NOT satisfy chaining.) 2. Does the answer to (1) depend only on the operator-schmidt coefficients of U? 3. Is there a nice canonical decomposition of the maximally-entangled unitaries? (Open) Can we at least construct infinitely many inequivalent maximal unitaries? (Maybe) 4. What operator-schmidt numbers exist for unitaries on C n C m? (We ll consider C 3 C 3.) 30

Schmidt number of two qubit unitaries Theorem (Makhlin 2000; Khaneja, Brockett, Glaser 2001): Let U be a two-qubit unitary. Then one-qubit unitaries A, B, C, D and θ α ( π/4, π/4] such that U = (A B) e i (θ x X X+θ y Y Y +θ z Z Z) (C D). Furthermore, V has the same invariants θ α iff V = (E F ) U (G H) for some local unitaries E, F, G, and H. Corollary (Nielsen et al 2002): A two-qubit unitary may have Schmidt-number 1, 2, or 4, but not 3. Conjecture (Nielsen et al 2002): There exist unitary operators on C N 1 C N 2 of Schmidt number S iff S divides N 1 N 2. An alternative conjecture is that unitary operators with Schmidt number S exist iff S and N 1 N 2 have a common factor. 31

References for the Canonical Decomposition 1. Y. Makhlin, LANL e-print quant-ph/0002045 (2000). Gives the invariants θ α. 2. N. Khaneja, R. Brockett, and S. J. Glaser, Time optimal control of spin systems, Phys. Rev. A 63, 032308 (2001); LANL e-print quant-ph quant-ph/0006114. Gives the decomposition. 3. B. Kraus and J. I. Cirac, Optimal creation of entanglement using a two-qubit gate, Phys. Rev. A 63, 062309 (2001); LANL e-print quant-ph/0011050. An elegant proof of the decomposition. 32

Operator-Schmidt Decompositions given by the Discrete Fourier Transform Theorem: There exists a basis φ αβ of C N C N such that the operator-schmidt coefficients of the diagonal operator D = N 1 α,β=0 λ (α, β) φ αβ φ αβ are the nonzero values of ˆλ (α, β), where ˆ is the discrete Fourier transform ˆλ (α, β) = 1 N N 1 α,β =0 exp ( 2πi N (αα + ββ ) ) λ (α, β ). Technical Remark: We will work on H H, with dim H = N, rather than on C N C N, to employ operator-theory techniques to this problem. 33

The Discrete Fourier Transform Definition Let H be an N-dimensional Hilbert space. Define the Twist T : H H and Discrete Rotation R : H H and by ( ) 2πij T j = exp j, j {0,..., N 1} N R j = j + 1 mod N Products of the form R α T β are called Twisted Rotations. T k e itx R m e isp 34

The Discrete Fourier Transform and Twisted Rotations Theorem 2 (Weyl 1930) R and T satisfy the discrete Weyl relations R α = I iff α NZ (1) T α = I iff α NZ (2) RT = exp ( 2πi/N) T R (3) and the associated Fourier relations FRF = T (4) FT F = R. (5) Furthermore, any irreducible representation of (1) (3) is unitarily equivalent to the defined rotations and twists, and in such a representation an F satisfying (4) (5) is represented up to a phase as the discrete Fourier transform. Observation (J. Schwinger 1960): The set of twisted rotations 35

{ 1 N R α T }α,β {0,...,N 1} β forms an orthonormal basis of B (H). 36

The Space H H ψ = a ij i j H H A ψ = a ij i j : H H 37

The Hilbert Space of Bras Definition: The Dual space H is the space of (continuous) linear functionals on H. In Dirac notation, H is the space of bras. What is the inner product on H? Define the map ψ ψ : H H by ψ = ψ. The inner product on H is given by f, ḡ H = g, f H. Unfortunately, Dirac notation would become confusing in what follows. Equivalently, ψ, φ = φ, ψ H H 38

The Conjugate Operator Let A : H H. The conjugate operator Ā : H H is given by Ā f = Af Why the Bar? f = k a k k = f = k ā k k = k ā k k A j = k a jk k = Ā j = k ā jk k 39

The Natural Isomorphism Theorem: The linear map Ξ : B (H) H H satisfying Ξ ( f g ) = f ḡ is a unitary equivalence. Furthermore, for A, B, C B (H). one has ( A B) ΞC = Ξ ( ACB ). Furthermore, ΞC is maximally entangled iff C is a nonzero scalar multiple of a unitary. C is unitary C = e j f j ΞC = e j f j 40

Schmidt Decompositions given by the Fourier Transform Theorem: Define Φ αβ = Ξ ( T α R β) H H, α, β {0,..., N 1} Then the {Φ αβ } form a maximally entangled orthonormal basis. Furthermore, the diagonal operator D D = N 1 α,β=0 λ (α, β) Φ αβ Φ αβ : H H H H, with arbitrary λ (α, β) C, satisfies D = N 1 a,b=0 ˆλ (a, b) ( 1 N R a T b ) ( 1 N R a T b ). In particular, the Schmidt coefficients of D are the nonzero values of ˆλ (a, b). 41

Proof. Φ αβ is an eigenvector of each ( R a T b) (R a T b ): ( R a T b) (R a T b ) Φ αβ = ( R a T b) (R a T b ) Ξ ( T α R β) (R a T b T α R ( β R a T b) ) αβ=0 = Ξ ( = exp 2πi ( N = exp 2πi N ) (aα + bβ) ) (aα + bβ) Since the {Φ αβ } form an orthonormal basis, ( R a T b) N 1 ( (R a T b ) = exp 2πi ) (aα + bβ) N Ξ ( T α R β) Φ αβ (6) Φ αβ Φ αβ. 42

By the Fourier inversion theorem, Φ αβ Φ αβ = 1 N 1 ( 2πi exp N 2 N Hence D = = = 1 N N 1 α,β=0 N 1 α,β=0 N 1 a,b=0 a,b=0 λ (α, β) Φ αβ Φ αβ λ (α, β) 1 N 2 N 1 a,b=0 ( 2πi exp N ˆλ (a, b) ( R a T b) (R a T b ). ) (R (aα + bβ) a T b) (R a T b ) ) (R (aα + bβ) a T b) (R a T b ) 43

Application: Operator-Schmidt numbers on C 3 C 3 Question: How many zeros may the discrete Fourier transform of a phase-valued function have? Theorem: There exists a phase-valued function λ on Z 2 3 such that the support of ˆλ has cardinality S iff S {1, 3, 5, 6, 7, 8, 9}. Proof. S f ˆf 1 1 1 1 1 1 1 1 1 1 3 0 0 0 0 0 0 0 0 44

S f ˆf 3 1 1 1 1 1 1 ω ω ω ω + 2 0 0 ω + 2 0 0 i 3 0 0 5 1 1 1 ω ω ω 2 ω 2 ω 2 ω 0 0 0 1 ω 2 ω 0 1 ω 1 ω 2 6 1 1 1 ω ω ω 2 ω 2 ω 2 ω 0 0 0 1 ω 2 ω 2 1 + ω 1 + ω 2 45

S f ˆf 7 1 ω ω 2 1 ω 2 ω 1 ω 2 ω 1 3 0 0 3 2 + 2ω 1 + 2ω 7 + 2ω 2 2ω 1 2ω 1 2ω 8 ω ω ω 2 1 ω 2 ω 2 1 1 ω 1 3 0 3 + 3ω 3 2 + 2ω 1 + 2ω 4 + 5ω 1 + ω 1 2ω 1 2ω 9 S = 9 is generic 46

Now take S = 2 or 4 and assume there exists a phase-valued function f on Z 2 3 so that the cardinality of the support of ˆf is S. Then since ff = 1 identically, then δ v,0 = ( ) ff ( v) = 1 3 w {0,...,2} 2 ˆf ( v + w mod 3Z 2 ) ˆf ( w) But it is not hard to see that for any subset of Z 2 3 of cardinality 2 or 4 there exists a nonzero v Z 2 3 such that f ( w) 0 and f ( v + w mod 3Z 2) 0 for exactly one value of w, yielding a contradiction. 47

The Fourier transform doesn t give everything for C 3 C 3 Theorem (the commutative case): There exists a unitary U on C N C N with Sch (U) = S for any S {1,..., N}.. Proof. Fix S and set ψ S = N ψ S ij = ij=1 ψs ij ij with { 1 if i = j and i < S 1 otherwise Then Sch ( ψ S) = S, since the matrix [ ψij] S is rank S. Schmidtdecompose S ψ = λ i v i w i, λ i > 0. i=1 A diagonal unitary operator U ψ with Sch (U ψ ) = S is constructed by changing the vectors v i and w i in this decomposition into diagonal matrices.. 48

Construction of Maximally Entangled Unitaries on C N C N Recall that satisfies Hence D = D = N 1 α,β=0 N 1 a,b=0 λ (α, β) Φ αβ Φ αβ : H H H H, ˆλ (a, b) ( 1 N R a T b ) ( 1 N R a T b ). D is maximally entangled λ and ˆλ are phase-valued functions. 49

Biunimodular Functions and Maximally Entangled Unitaries Definition: A function f is biunimodular phase-valued functions. iff both f and ˆf are The problem of characterizing biunimodular functions on Z 2 N proper has not been studied. Note however, that if f and g are biunimodular on Z N then f g is biunimodular on Z 2 N = Z n Z n. 50

Known results on biunimodular functions on Z N Guassian biunimodulars were known to Guass: g N,a,b (k) = exp ( ( 2πi N ak 2 + bk )), N odd, a coprime to N g N (k) = exp ( 2πi N k2), N even For N divisible by a square, Björck and Saffari (1995) have constructed an uncountably infinite family of biunimodulars on Z N. Furthermore, they conjecture that there exist an infinite number (up to phases) iff N is divisible by a square. Interestingly, their examples use mixed-decimals. The conjecture of Björck and Saffari was already known to be valid for N 9, as all such biunimodulars had already been found. (G Björck, 1990, J. Backelin and R. Fröberg 1991, G Björck and R Fröberg 1991 and 1994) 51

Remarks on Hill & Wootters s Magic Basis and the Gradient of the Determinant The gradient of the determinant is defined by d dt det (A) = det (A), da dt In particular B(H) { ( ) det (A) A 1 if det (A) 0 det (A)= the continuous extension, otherwise What is the meaning of det in the B (H) = H H formalism? 52

Theorem Let C : B (H) B (H) be the continuous extension of C (A) = ( (det A) A 1) Define the corresponding map D : H H H H by Then D (ψ) = ΞC (Ξ ψ). Theorem 3 1. C (AB) = C (A) C (B) and C (A ) = (C (A)). In particular, C acts independently on the factors of the polar decomposition. 2. D (( A B ) ψ ) ( ) = C (A) C (B) D (ψ). In particular, if A and B are unitary then D (( A B ) ψ ) = (det A B) ( A B ) D (ψ 3. D (ψ) = αψ for some α C iff ψ is maximally entangled or zero. 4. Temporarily allowing Schmidt coefficients to vanish, the product of the Schmidt coefficients of ψ is given by N 1 ψ, Dψ H H. 53

5. Furthermore, if N = 2 then (a) C and D are conjugations, i.e. antiunitary maps squaring to the identity, and ([ ]) [ ] a b d c C = c d b ā (b) ψ is separable iff ψ, Dψ = 0. (c) Denote i j i j H H. Then each of the following basis vectors are invariant under D: { 0 0 + 1 1, i 0 0 i 1 1, i 0 1 + i 1 0, 0 1 1 0 }. (d) If A = e iθ UP, where U SU (2) and P = diag (λ 1, λ 2 ) is positive, then C (A) = e iθ U diag (λ 2, λ 1 ). In particular, D preserves Schmidt coefficients. 54

Vollbrecht and Werner make the following point in Why two qubits are special : The remarkable properties of the [magic] basis...are in some sense not so much a property of that basis, but of the antiunitary operation of complex conjugation in [that] basis. In particular, one may canonically translate the results and the magicbasis or magic-conjugation proofs of Wooters and Makhlin on C 2 C 2 into basis-free results and proofs on H H. 55