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Detecting Incapacity. Graeme Smith IBM Research Joint Work with John Smolin QECC 2011 December 6, 2011. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A. N. Y. X. Noisy Channel Capacity. p(y|x).
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Detecting Incapacity Graeme Smith IBM Research Joint Work with John Smolin QECC 2011 December 6, 2011 TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAAAAA
N Y X Noisy Channel Capacity p(y|x) Capacity: bits per channel use in the limit of many channels C = maxX I(X;Y) I(X;Y) is the mutual information
Zero-quantum-capacity channels Sym. PPT ? Q=0 Q>0
Outline • Zero-capacity channels • Anti-degradable • PPT • Proof that PPT has no capacity • General Incapacity criterion • Linear Maps Motivation: unify thinking about incapacity, appeal to physical principles, apply to generalized prob. Models or mobits
N N N . . . Quantum Capacity • Want to encode qubits so they can be recovered after experiencing noise. • Quantum capacity is the maximum rate, in qubits per channel use, at which this can be done. • We’d like to know when Q(N ) > 0. E D
U 0 E Ã B Quantum Capacity • Coherent Information: Q1 (N ) = maxS(B)-S(E) (cf Shannon formula) • Q(N ) ¸ Q1(N ) (Lloyd-Shor-Devetak) • Q(N ) = limn ! 1(1/n) Q1(N …N ) • Q(N ) Q1(N ) (DiVincenzo-Shor-Smolin ‘98)
U E 0 U B 0 B Ã E Ã Zero Quantum Capacity Channels:Symmetric Channels Example: 50% attenuation channel Output symmetric in B and E = vacuum 50:50 Input mode Output mode environment
Zero Quantum Capacity Channels:Symmetric Channels Suppose a symmetric channel had Q >0 U E 0 B Ã
Zero Quantum Capacity Channels:Symmetric Channels Suppose a symmetric channel had Q >0 Un En 0 Bn Ã
Zero Quantum Capacity Channels:Symmetric Channels Suppose a symmetric channel had Q >0 Un En 0 E Ã D Ã
D D Zero Quantum Capacity Channels:Symmetric Channels Suppose a symmetric channel had Q >0 Ã Un 0 E Ã Ã
D D Zero Quantum Capacity Channels:Symmetric Channels Suppose a symmetric channel had Q >0 So, symmetric channels must have zero quantum capacity. Specifically, the 50% attenuation channel has zero capacity. It will be one of our two zero quantum capacity channels. Ã Un 0 E Ã Ã IMPOSSIBLE!
Zero Quantum Capacity Channels:Positive Partial Transpose • Partial transpose: (|iihj|A|kihl|B) = |iihj|A|lihk|B • If AB is not positive, then the state is entangled • If AB¸ 0, it may be entangled, but then it is very noisy. Bound entanglement---can’t get any pure entanglement from it. • A PPT-channel enforces PPT between output and purification of the input: is PPT • Implies Q(N ) = 0, but can have P(N ) > 0
Outline • Zero-capacity channels • Anti-degradable • PPT • Proof that PPT has no capacity • General Incapacity criterion • Linear Maps Motivation: unify thinking about incapacity, appeal to physical principles, apply to generalized prob. Models or mobits
PPT has no quantum capacity • Let T(½) = ½T. N is PPT iff is CP
PPT has no quantum capacity • Let T(½) = ½T. N is PPT iff is CP • Say such N could send quantum info
PPT has no quantum capacity • Let T(½) = ½T. N is PPT iff is CP • Say such N could send quantum info • Then
PPT has no quantum capacity • Let T(½) = ½T. N is PPT iff is CP • Say such N could send quantum info • Then • Acting on both sides with T, we get
PPT has no quantum capacity • Let T(½) = ½T. N is PPT iff is CP • Say such N could send quantum info • Then • Acting on both sides with T, we get
PPT has no quantum capacity • Let T(½) = ½T. N is PPT iff is CP • Say such N could send quantum info • Then • Acting on both sides with T, we get • LHS is transpose. RHS is physical. Can’t be!
PPT has no quantum capacity • Let T(½) = ½T. N is PPT iff is CP • Say such N could send quantum info • Then • Acting on both sides with T, we get • LHS is transpose. RHS is physical. Can’t be! • T is continuous, and is PPT when is, so also for capacity.
Outline • Zero-capacity channels • Anti-degradable • PPT • Proof that PPT has no capacity • General Incapacity criterion • Linear Maps Motivation: unify thinking about incapacity, appeal to physical principles, apply to generalized prob. Models or mobits
P-commutation • Let R be unphysical on a set S • Say for any physical map , there’s a physical map with • Then, if is physical, can’t transmit S
Is this really more general? Lemma: If R is linear, invertible, preserves system dimension and trace, and is p-commutative, it is either of the form R(½) = (1-p)½T + p I/d or R(½) = (1-p)½ + p I/d Proof: Consider conj by unitaries Has to be faithful rep. of proj. unitary gp. We know what these are.
Improved P-commutation • We want to move to non-linear maps, R, but it gets very hard to make sure they P-commute • So, we can generalize the notion of P-commutation: for a family of unphysical maps • If then can’t send quantum info
Anti-degradable channels • Recall that a channel is antidegradable if there’s an with • Roughly speaking, let R = • This map will clone. • For unitary decoder, let and • Gives
Teleportation P M
Teleportation P Classical information Unitary rotation recovers the state M other information goes back in time, wraps around
Teleportation R Classical information Unitary rotation recovers the state M other information goes back in time, wraps around
Time-traveling information gets confused R Classical information Unitary rotation recovers the state M Now suppose state is PT invariant---PT on A leaves state alone
Time-traveling information gets confused R Classical information Unitary rotation recovers the state M Now suppose state is PT invariant---PT on A leaves state alone Other information gets stuck here because it doesn’t know which direction in time to go---can’t get around the bend!!!
Summary • Channels with zero classical capacity are trivial, but there’s lots of structure in zero quantum capacity channels • Two known tests for incapacity---symmetric extension and PPT • Both can be understood as specal cases of the House diagram, P-commutation, etc. • Gives operational proof the PPT channels have zero quantum capacity---otherwise we could implement the unphysical time-reversal operation. • To go beyond PPT, need nonlinear R.
Questions • Are there other non-linear forbidden operations that give interesting new channels with no capacity? • Can we apply this to generalized probabilistic theories, mobits, etc. ? Should be yes for mobits. • Given a zero-capacity channel, can we find a “reason” for its incapacity? • Sensible classification of unphysical maps? • Can we make the time-travel story more rigorous?