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State Discrimination

Abstract

Details of the task of quantum state discrimination.

Keywords:State DiscriminationPOVMsgames.

In classical physics, any two distinct states of a physical system are distinguishable - there always exists a measurement that can be made to tell the systems apart. In quantum mechanics, this is not generally the case. The task of quantum state discrimination studies these fundamental limitations on our ability to distinguish quantum states.

Quantum State Discrimination

Task of Quantum State Discrimination

Let (px,ρx)x(p_x, \rho_x)_x be an ensemble, such that one gets the state ρx\rho_x with probability pxp_x. Assume this ensemble is known to both to a referee and a player. The referee then takes a state ρy\rho_y from the ensemble, with probability pyp_y, and gives it to the player. The players makes a measurement on the state and outputs an index gg.

If g=yg=y the player succeeds at the task, if gyg \neq y the player fails at the task.

The task of quantum state discrimination therefore asks the player to correctly identify which state from the ensemble they have been given by the referee. To succeed in this task, one should typically consider performing a measurement with N(px,ρx)xN \geq \vert (p_x, \rho_x)_x \vert different possible outcomes, where (px,ρx)x\vert (p_x, \rho_x)_x \vert is the number of different states in the ensemble. Hence, each state in the ensemble is assigned a different measurement outcome.

As the post measurement state is not considered, this measurement can be modelled by a POVM. To the state ρg\rho_g from the ensemble a POVM element TgT_g is assigned, such that if the player gets the outcome associated to TgT_g they output the index gg. The probability of outputting the index gg given the player has ρg\rho_g is then tr[Tgρg]\textrm{tr}\big[T_g\rho_g\big]. This is therefore the probability that the player is successful in the task given the referee gave them ρg\rho_g.

One way of quantifying the ability of a player to succeed in the task of quantum state discrimination is the maximum success probability,

Psuc=max{Tx}xxpxtr[Txρx]s.t  Tx0  x,  xTx=I,\begin{align*} P_{\mathrm{suc}} &= \max_{\{T_x\}_x} \sum_x p_x \textrm{tr}\big[ T_x \rho_x \big] \\ &\textrm{s.t} ~ ~ T_x \geq 0~\forall~x, ~ ~ \sum_x T_x = \mathbb{I}, \end{align*}

such that all POVM are optimised over. This is a semi-definite Program (SDP) and there therefore exists efficient classical methods for finding the optimal solution. Although, in general, there will not be a unique POVM that achieves this optimal. One can therefore choose the measurement strategy best suited for their experimental implementation.

Deterministic Discrimination

If Psuc=1P_{\mathrm{suc}}=1 then the player is always able to identify which state they have been given by the referee with certainty. Although, this is known to be possible if and only if the ensemble consists of only orthogonal states i.e, Psuc=1P_{\mathrm{suc}}=1 if and only if

tr[ρyρz]=δy,z,\textrm{tr}\big[\rho_y\rho_z\big]=\delta_{y,z},

for all pairs ρy,ρz\rho_y, \rho_z in the ensemble.

Proof

If Psuc=1P_{\mathrm{suc}}=1 then tr[Txρx]=1  x\textrm{tr}\big[T_x\rho_x\big]=1~\forall~x, as xpx=1\sum_x p_x = 1 and 0px10 \leq p_x \leq 1.

As tr[ρx]=1\textrm{tr}\big[\rho_x\big]=1, the following holds for all xx,

tr[(ITx)ρx]=0   x.\textrm{tr}\big[(\mathbb{I} - T_x)\rho_x\big]= 0 ~ ~ \forall~x.

As ITx0\mathbb{I} - T_x \geq 0 and ρx0\rho_x \geq 0 it can then be concluded that (ITx)ρx=0(\mathbb{I} - T_x)\rho_x=0 such that Txρx=ρxT_x \rho_x = \rho_x.

From this, it can be seen that TxT_x acts as the identity on the support of ρx\rho_x i.e.,

TxΠx=Πx,T_x \Pi_x = \Pi_x,

where Πx\Pi_x is the projector onto the support of ρx\rho_x. To see that this holds, let {λiλi}i\{ \vert \lambda_i \rangle \langle \lambda_i \vert \}_i be the eigenvectors of ρ\rho, such that

ρ=iλiλiλi.\rho = \sum_i \lambda_i \vert \lambda_i \rangle \langle \lambda_i \vert.

Then,

ρλiλi=λiλiλi.\rho \vert \lambda_i \rangle \langle \lambda_i \vert = \lambda_i \vert \lambda_i \rangle \langle \lambda_i \vert.

From this, it can be seen that

Txλiλi=λiλiT_{x} \vert \lambda_i \rangle \langle \lambda_i \vert = \vert \lambda_i \rangle \langle \lambda_i \vert

using the fact that Txρx=ρxT_x \rho_x = \rho_x. Finally, by noting that Πx=iλiλi\Pi_x = \sum_i \vert \lambda_i \rangle \langle \lambda_i \vert, the condition is found.

We conclude the proof by contradiction. Assume that the intersection between the supports of two arbitrary states in the ensemble ρx\rho_x and ρy\rho_y is non-zero, meaning there exists a ψψ\vert \psi \rangle \langle \psi \vert such that

ψψΠxΠy,\vert \psi \rangle \langle \psi \vert \in \Pi_x \cap \Pi_y,

where Πx\Pi_x and Πy\Pi_y are the projectors onto the supports of ρx\rho_x and ρy\rho_y respectively. Using the facts that TxΠx=ΠxT_x \Pi_x = \Pi_x and TyΠy=ΠyT_y \Pi_y = \Pi_y, it can be seen that

Txψψ=ψψ,   Tyψψ=ψψ.T_x \vert \psi \rangle \langle \psi \vert = \vert \psi \rangle \langle \psi \vert, ~ ~ ~ T_y \vert \psi \rangle \langle \psi \vert = \vert \psi \rangle \langle \psi \vert.

Hence, (Tx+Ty)ψψ=2ψψ(T_x + T_y)\vert \psi \rangle \langle \psi \vert = 2 \vert \psi \rangle \langle \psi \vert. Then, using the fact that zTz=I\sum_z T_z = \mathbb{I}, it can be seen that

Iψψ=zTzψψ=(Tx+Ty+zx,yTz)ψψ.\begin{split} \mathbb{I} \vert \psi \rangle \langle \psi \vert &= \sum_z T_z \vert \psi \rangle \langle \psi \vert \\ & = (T_x + T_y + \sum_{z \neq x,y} T_z) \vert \psi \rangle \langle \psi \vert. \end{split}

Taking the trace of both sides, we get that 1=1+1+α1 = 1 + 1 + \alpha, where

α=zx,ytr[Tzψψ]0,\alpha = \sum_{z \neq x,y}\textrm{tr}\big[T_z \vert \psi \rangle \langle \psi \vert \big] \geq 0,

as tr[Tzψψ]0 z\textrm{tr}\big[T_z \vert \psi \rangle \langle \psi \vert \big] \geq 0 ~\forall z due to Tz0  zT_z \geq 0~\forall~z and ψψ0\vert \psi \rangle \langle \psi \vert \geq 0.

This is therefore a contradiction, with the above equation holding if and only if ψψ=0\vert \psi \rangle \langle \psi \vert=0. As this was done for two arbitrary states in the ensemble, it can be concluded that the intersections of the supports of all states in the ensemble must be zero if Psuc=1P_{\mathrm{suc}}=1.

In the other direction, if all the states in the ensemble are orthogonal, one can always create a POVM that includes the projectors onto the supports of all the states. Specifically, measuring the POVM

{Πx}x+Trest,  Trest=IxΠx,\{ \Pi_x \}_x + T_{\mathrm{rest}}, ~ ~ T_{\mathrm{rest}} = \mathbb{I} - \sum_x \Pi_x,

will allow quantum state discrimination to be performed with certainty.

Unambiguous State Discrimination

An alternative strategy for claiming optimality is unambiguous state discrimination Bae & Kwek (2017), where a measurement with (N+1)(N+1) outcomes is used if N=(px,ρx)xN = \vert (p_x, \rho_x)_x \vert. The aim here is that the index gg is output if and only if g=xg=x, meaning the player outputs an index if and only if they are certain it relates to the state that they were given by the referee. This comes at the expense of the additional measurement outcome that gathers all the uncertain outcomes, with the player outputting that they are uncertain what state they have if they get this outcome, i.e., if the player gets the (N+1)(N+1)th outcome they output `don’t know’ rather than an index.

It will not always be possible to find such a POVM, with characterisations for what sets of states this is possible for being detailed in Chefles (1998), Rudolph et al. (2003). As with the maximum success probability, success in unambiguous state discrimination can be cast as an SDP. Although, success now means minimising the probability of the player outputting `don’t know’.

References
  1. Bae, J., & Kwek, L.-C. (2017). Quantum state discrimination and its applications. 10.48550/ARXIV.1707.02571
  2. Chefles, A. (1998). Unambiguous discrimination between linearly independent quantum states. Physics Letters A, 239(6), 339–347. 10.1016/s0375-9601(98)00064-4
  3. Rudolph, T., Spekkens, R. W., & Turner, P. S. (2003). Unambiguous discrimination of mixed states. Physical Review A, 68(1). 10.1103/physreva.68.010301