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MUBs and some other quantum designs

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Title: MUBs and some other quantum designs


1
MUBs and some other quantum designs
  • Aleksandrs Belovs
  • and
  • Juris Smotrovs

2
Outline of the talk
  • Combinatorial designs
  • Optimal quantum measurement problem (MUBs, SIC
    POVMs)
  • Quantum designs
  • MUBs and SIC POVMs as quantum designs
  • Links with problems in combinatorics
  • Conclusion

3
History of combinatorial designs
4
History of combinatorial designs
  • 36 officer problem (1782)
  • INVESTIGATIONS ON A NEW TYPE OF MAGIC SQUARE
  • LEONHARD EULER
  • A very curious question that has taxed the brains
    of many inspired me to undertake the following
    research that has seemed to open a new path in
    Analysis and in particular in the area of
    combinatorics. This question concerns a group of
    thirty-six officers of six different ranks, taken
    from six different regiments, and arranged in a
    square in a way such that in each row and column
    there are six officers, each of a different rank
    and regiment. But after spending much effort to
    resolve this problem, we must acknowledge that
    such an arrangement is absolutely impossible,
    though we cannot give a rigorous proof.

5
Combinatorial designs
  • 36 officer problem (L.Euler, 1782)
  • An example with a simpler case with 9 officers

1 2 3
2 3 1
3 1 2
1 2 3
3 1 2
2 3 1
Euler conjectured that there is no solution for
the 6X6 case, and, in general, for the
(4n2)X(4n2) case.
6
Combinatorial designs
  • 36 officer problem
  • Modern name of the general problem Mutually
    orthogonal latin squares (MOLS)
  • Euler conjectured that there is no solution for
    the 6X6 case, and, in general, for the
    (4n2)X(4n2) case.
  • G. Tarry, 1900 proved by exhaustive search of
    6X6 latin squares that no two of them are
    orthogonal
  • Bose, Shrikhande, and Parker, 1960 found with
    computer search orthogonal 10X10 latin squares,
    then proved that they do not exist only for
    dimensions 2X2 and 6X6.

7
Combinatorial designs
  • Kirkmans schoolgirl problem (1850) and Steiner
    triples (solved)
  • Finite geometries (projective, affine,...)
  • Difference sets
  • Hadamard matrices
  • Modern combinatorial design theory started with
    R. Fishers work on design of statistical
    experiments in 1930s.

8
Combinatorial designs
  • Balanced incomplete block designs (BIBD)
  • v elements
  • must be arranged into b blocks (sets) so that
  • each block contains k elements,
  • each element is in r blocks, and
  • each two elements are both contained in ? blocks.
  • For which parameter quintuples (v,b,k,r,?) such
    design can be constructed and how?

9
Combinatorial designs
  • Example
  • v7,
  • b7,
  • k3,
  • r3,
  • ?1

B1 B2 B3 B4 B5 B6 B7
1 2 3 4 5 6 0
2 3 4 5 6 0 1
4 5 6 0 1 2 3
10
Optimal quantum measurement
  • A pure quantum state is a vector (denoted
    something like ?? ) of unit length in the vector
    space Cn.
  • In an orthonormal basis 0?, 1?, ..., n-1? it
    can be represented as
  • ?? ?00? ?11? ... ?n-1n-1?.
  • When measured in this basis, one of the basis
    states i? is obtained with probability ?i2,
    and the state ?? collapses to i?. This is
    called von Neumann measurement.
  • A mixed quantum state is a probabilistic
    composition of pure states ? p1?1???1
    p2?2???2 ... pk?k???k.

11
Optimal quantum measurement
  • Problem
  • Suppose we have many instances of the same state
    ? in Cn. Then we can perform many measurements of
    this state using different bases. How should we
    choose the bases so that we learn the state with
    maximum precision?

12
Optimal quantum measurement
  • Case 1 we are allowed measurements only within
    the given space Cn we use each base for the same
    number of measurements
  • Then the optimum would be obtained with a set of
    n1 mutually unbiased bases (MUBs) if such
    exists.

13
Optimal quantum measurement
  • Case 2 we are allowed to measure in a larger
    space Cm which contains the given space Cn
  • Such measurement from the viewpoint of the given
    space Cn is called positive operator valued
    measurement or POVM.
  • Solution to the problem would then be provided by
    a symmetric informationally complete POVM (SIC
    POVM) if it exists.

14
MUBs
  • A number of orthonormal bases in Cn is said to be
    mutually unbiased iff any two basis vectors x?,
    y? from different bases have the same scalar
    product by absolute value
  • ?xy?
  • There can be no more than n1 such bases in Cn.

15
MUBs
  • An example 3-MUB in C2.

16
MUBs
  • I.D. Ivanovic (1981),
  • W.K.Wootters, B.D.Fields (1989)
  • (n1)-MUB exists for any dimension npm, where p
    is prime
  • r is base index, k is vector index, l is
    component index
  • r,k,l ? GF(pm), Tr is the trace GF(pm) ? GF(p).

17
MUBs
  • Does an (n1)-MUB exist for a dimension n not
    being a prime power?
  • Up to now the answer has not been found for any
    of these dimensions, even for n6. At the moment
    only a 3-MUB is known in 6 dimensions.
  • If an (n1)-MUB does not exist, then what is the
    maximal number of MUB that exist in any given
    dimension?

18
SIC POVMs
  • A set of n2 unit vectors form a symmetric
    informationally complete POVM (SIC POVM) iff any
    two of these vectors x?, y? have the same
    scalar product by absolute value
  • ?xy? .

19
SIC POVMs
  • An example SIC POVM in C2.

20
SIC POVMs
  • Does there exist a SIC POVM for any dimension?
  • It has been conjectured that the answer is
    positive, however it has been proven only for a
    finite amount of dimensions for small n by
    finding SIC POVMs analytically, and for n lt 45 by
    finding approximate SIC POVMs numerically.

21
Quantum designs
  • G.Zauner (1999)

Block design Quantum design
v elements orthonormal basis in Cv
b blocks b orthogonal projections
k elements in each block each projection is to a k -dimensional subspace
each element in r blocks each basis vector is in r projection subspaces
each 2 blocks have ? common elements each 2 proj. subspaces intersection dim ?
22
Quantum designs
  • G.Zauner (1999)
  • Quantum design is a set P1, ..., Pb of
    projection operators in Cv.
  • It is called regular iff there is such k that
    Tr(Pi) k for all i.
  • It is called coherent iff there is such r that
  • P1 ... Pb rE.
  • Its degree s is the number of elements in the set
  • ? Tr(PiPj) i ? j ?1, ..., ?s.

23
Quantum designs
  • MUBs as quantum designs
  • If we consider MUB as consisting not of vectors,
    but of projections on their lines, then an
    (n1)-MUB in Cn is a quantum design with
    parameters
  • v n, b n(n1), k 1, r n1,
  • the degree s 2, and ?1 0, ?2 1/n.

24
Quantum designs
  • SIC POVMs as quantum designs
  • SIC POVM in Cn is a quantum design with
    parameters
  • v n, b n2, k 1, r n,
  • the degree s 1, and ?1 1/(n1).

25
Quantum designs
  • Complex projective t-design
  • A set X of unit vectors in Cn such that
  • for any polynomial f of degree t on the complex
    projective sphere CSn-1 (formed by equivalence
    classes of unit vectors in Cn where collinear
    vectors are considered equivalent).

26
Quantum designs
  • Welch inequalities
  • For any set X of unit vectors in Cn and any
    natural number k holds
  • (L.R.Welch, 1974)

27
Quantum designs
  • A.Klappenecker, M.Rötteler (2005)
  • A set X is a complex projective t-design iff with
    its vectors the Welch inequality turns into an
    equality for all k between 0 and t.
  • MUBs and SIC POVMs are complex projective
    2-designs.

28
Quantum designs
  • A.Belovs, J.Smotrovs (2008)
  • Let X be a set of unit vectors in Cn. Let B be a
    matrix formed by vectors from X as columns. Let
    w1, ..., wn be the rows of matrix B. The Welch
    inequality turns into an equality for X and
    natural number k iff all vectors from
  • are of equal length and pairwise orthogonal.

29
MUBs
  • The known (n1)-MUBs can be expressed in form
  • where base index r, vector index k, component
    index l are elements of an Abelian group G
    Z/n1Z ? ... ? Z/nmZ of size n n1...nm
  • is a character of this group, and f is some
    function in this group. It follows from the
    result of the previous slide that we have
    (n1)-MUB iff this function is perfect non-linear.

30
Link with combinatorial designs
  • Perfect non-linear functions
  • A function f G?G is said to be perfect
    non-linear iff for any a ? 0 and b there is
    exactly one x such that f(xa) ? f(x) b.
  • Example f(x)x2 in Z/pZ, where p is prime, is
    perfect non-linear.
  • These functions are much studied in cryptography,
    but mostly in the binary case n2m.

31
Link with combinatorial designs
  • Difference sets
  • A set Dd1,...,dk of k elements from an Abelian
    group G of size v is said to form a
    (v,k,?)-difference set iff the differences di ?
    dj with i ? j contain each non-zero element of G
    exactly ? times.
  • A long-known special case of balanced incomplete
    block designs.

32
Link with combinatorial designs
  • Relative difference sets
  • If G is an Abelian group, and N its subgroup,
    then a subset Dd1,...,dk of G is called an
    (m,n,k,?)-relative difference set iff Nn,
    G/Nm, and the differences di ? dj with i ?
    j contain no element from N, and each of the
    other non-zero elements of G exactly ? times.

33
Link with combinatorial designs
  • A function f G?G is perfect non-linear iff the
    set D(x,f(x)) x ? G is a relative difference
    set with respect to group G2 and its subgroup
    N(x,0) x ? G.

34
Link with combinatorial designs
  • Finite projective plane
  • a finite set P of points together with a
    collection of subsets of P called lines, such
    that
  • for any two points there is exactly one line
    containing both of them
  • the intersection of any two lines contains
    exactly one point
  • there are 4 points such that no 3 of them belong
    to the same line.

35
Link with combinatorial designs
  • Collineation of a projective plane
  • a transformation of the plane that maps collinear
    points into collinear points.

36
Link with combinatorial designs
  • A.Blokhuis, D.Jungnickel, B.Schmidt (2001)
  • If G is an Abelian collineation group of order n2
    of a projective plane, then n is a prime power.
  • Proof essentially is a proof about relative
    difference sets.
  • It follows from this result that perfect
    non-linear functions can exist only in groups
    whose order is power of a prime.
  • Thus MUBs of the form described above can exist
    only in spaces Cn where n is a prime power.

37
What further?
  • The formula
  • gives an (n1)-MUB in Cn also when f is a
    function of a more general kind
  • Z/n1Z ? ... ? Z/nmZ ? R/n1R ? ... ? R/nmR
  • with properties similar to those of perfect
    non-linear functions. The existence of such
    functions for arbitrary dimension is still an
    open question.

38
Thank you for the attention!Questions?
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