Information-theoretic treatment of tripartite systems and quantum channels. Patrick Coles Carnegie Mellon University Pittsburgh, PA USA

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Information-theoretic treatment of tripartite systems and quantum channels Patrick Coles Carnegie Mellon University Pittsburgh, PA USA ArXiv: 1006.4859 a c b Co-authors Li Yu Vlad Gheorghiu Robert Griffiths

Research program Quantum laws d word Everyday world Approach 1.) Dynamics of prototypical systems (Consistent histories) 2.) Information theory

How is quantum information unusual? More general than classical information Classical information: always possible to combine two logical statements to make a new logical statement Spain won the Euro-Cup AND Spain won the World Cup. The z-component of an electron spin is +1/2 AND its x-component is -1/2. NONSENSE x and z are incompatible types of information Challenge: finding relations between incompatible types of information Strong tradeoff in transmitting incompatible (i.e. quantum) information - through a channel and its complementary channel - to distinct parties of a multipartite state

Types and location of information Type of information Technically: Decomposition of the identity where {P aj } is set of orthogonal projectors we also consider more general decompositions (POVMS) Information of some type about a can be located inside b (in that some property of b is correlated to this property of a) a b Are the conditional density operators on b, associated with the P a information, distinguishable?. we aim to quantify this

Quantum Channel Problem Introduce reference system complementary channels D word Cryptography is maximally entangled Or start from the tripartite pure state, use map-state duality to construct isometry

Tripartite problem Quantum channel problem Three-party problem a c b What can we say about the probability distribution? All-or-nothing theorems e.g. all information about a in b, then none in c Goal: generalize all-or-nothing results to case of partial information

Information measures General form Particular entropy functions

Definitions Entropy bias Basis invariance of information difference a c b Information bias Theorem Consider orthonormal bases u and w for system a (pure state)

Basis invariance of information difference a b c Difference between Bob s and Charlie s scores is the same every game!

Example V (z,b) V (z,c) V (x,b) V (x,c) V (z,b) V (x,b) V (z,c) V (x,c) Suppose Bob has perfect classical information about Alice a c b V (z,b) logd a V (x,b) 0 Then it follows that: V (z,c) logd a So classical information always gets copied V (x,c) 0

Shannon and von Neumann measures Classical entropy: Classical mutual information: A relation between classical and quantum entropies: iff all r j are orthogonal is a positive quantity missing information

Uncertainty Principle Robertson. Phys. Rev. (1929) Right-hand-side depends on the state. Entropy: alternative measure of spread Can be zero, e.g. A=Z, B=X, y> = z-eigenstate. Maassen, Uffink. PRL (1988) Mutually unbiased bases (MUBs) r 1/ d H(x) H(z) log d

Theorem The main result ArXiv: 1006.4859 missing information Very general, Very strong uncertainty relation Presence of EXCLUDES information in b information from c a X

Appreciating this result Orthonormal bases Mutually unbiased bases (MUBs) Both an entropic uncertainty relation AND information exclusion relation Suppose q(u,b)=0. then H(w)=log d a AND V (w,c)=0 Equivalent to strong complementary information tradeoff conjectured by Renes, Boileau (PRL 2009), proven by Berta et al. (Nature Physics 2010)

Corollaries Strengthened uncertainty relations for mixed states Maassen, Uffink (1988) Corollary of our result Sanchez-Ruiz (1995) Corollary of our result For qubits, x, y, and z form a complete set of MUBs

The dynamic uncertainty principle Feed in w basis states Input probabilities {p j } Output density operators Quantify distinguishability at the output

The dynamic uncertainty principle Quantify distinguishability at the output Corollary of our result Arbitrary bases u and w, Alice z states Thanks for the z+ state! -Bob x states Which x state was that?? -Chuck Can t build a machine that can send z-info to Bob and x-info to Charlie

No copying or No splitting or Monogamy Monogamy of entanglement Gradual approach to monogamy a b a b X c c If then Proof: Every basis has at least one MUB But do we really have to know that Bob has every type w of information about Alice to ensure Charlie has none?

Two-type presence Alice & Bob Charlie (no Alice) Alice & Bob Date #1 Alice & Bob Date #2 (provided dates are sufficiently different) Quantum mutual information I(a:b) S V (r a ) S V (r b ) S V (r ab ) I(a:b) 2logd a 2[q(x,b) q(z,b)] I(a:c) q(x,b) q(z,b) More general form, for arbitrary bases, on ArXiv

One-type presence/absence Alice & Bob Date #1: Drinks Alice & Charlie Date #1: Drinks Charlie completely decoupled from Alice! Charlie (no Alice)

One-type presence/absence Quantitative version I(a :c) V (z,c) q(z,b) Suppose the z type of information about a is perfectly present in b: and absent from c: q(z,b) 0 V (z,c) 0 Then a and c are completely uncorrelated: All-or-nothing theorem not previously known?

Results for Tripartite states All-or-nothing theorems Theorems for MUBs Partial information theorems More general types of information Basis invariance of information bias Uncertainty principle Monogamy (No copying) Two type presence One type presence / absence q(x,b) q(z,c) logd a I(a:b) 2logd a 2[q(x,b) q(z,b)] I(a:c) q(x,b) q(z,b) I(a :c) V (z,c) q(z,b) All of these results apply to complementary quantum channels! One would have never stumbled upon our results using a global measure of entanglement, it is crucial to look at individual types of information to study these phenomena K (w) S K Patrick Coles Carnegie Mellon Postdoc in Quantum Information & Foundations

Equations for complementary channels Quadratic measure Normalized such that: =1 iff all states are orth. at output Average over all types Generalizes Somewhere Theorem AND No Splitting Theorem in single equation!

Take-home messages Patrick Coles Carnegie Mellon University All-or-nothing theorems are just limiting cases of partialinformation relations. Quantum information comes in different types One would have never stumbled upon our results using a global measure of entanglement, it is crucial to look at individual types of information to study these phenomena Quantum channels can be studied within the framework of tripartite states

Future directions? Location of quantum information in 4-party (or n-party) systems Find more equations, not just inequalities, for the location of quantum information. Other measures besides von Neumann. Apply these rules to physical systems of interest (e.g. quantum optics, spins) Apply these rules to cryptography protocols or other Q.I. tasks

The main result Lemma [proven using an EUR of Krishna, Parthasarathy. Ind. J. of Stat. (2002)] Theorem [proven by invoking the HSW theorem for the achievable information transmission] Very general, Very strong uncertainty relation

All or nothing theorems All info about A in B, then none in C All info about A in BC, and none in C, then all in B (Pure state ABC) All z info about A in B, no x info about A in C z and x info about A in B, then all info about A in B

Equations for complementary channels Quadratic measure Consider complete set of MUBs Normalized such that: =1 iff all states are orth. at output e.g. prime d: Average over complete set

Equations for complementary channels Average over all types Prime-power d : Average over complete set of MUBs equal to average over all types Complete MUB set captures behavior of whole Hilbert space Generalizes Somewhere Theorem AND No Splitting Theorem in single equation!

Quadratic Measure, complementary channels

Absence Bipartite Coherent Information Quantum mutual information