Title: MUBs and some other quantum designs
1MUBs and some other quantum designs
- Aleksandrs Belovs
- and
- Juris Smotrovs
2Outline 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
3History of combinatorial designs
4History 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.
5Combinatorial 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.
6Combinatorial 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.
7Combinatorial 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.
8Combinatorial 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?
9Combinatorial 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
10Optimal 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.
11Optimal 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?
12Optimal 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.
13Optimal 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.
14MUBs
- 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.
15MUBs
16MUBs
- 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).
17MUBs
- 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?
18SIC 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? .
19SIC POVMs
- An example SIC POVM in C2.
20SIC 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.
21Quantum designs
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 ?
22Quantum 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.
23Quantum 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.
24Quantum 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).
25Quantum 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).
26Quantum designs
- Welch inequalities
- For any set X of unit vectors in Cn and any
natural number k holds - (L.R.Welch, 1974)
27Quantum 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.
28Quantum 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.
29MUBs
- 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.
30Link 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.
31Link 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.
32Link 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.
33Link 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.
34Link 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.
35Link with combinatorial designs
- Collineation of a projective plane
- a transformation of the plane that maps collinear
points into collinear points.
36Link 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.
37What 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.
38Thank you for the attention!Questions?