This paper introduces dual quantum instruments and sub-observables, exploring their properties, relationships, and extensions, with applications to various quantum measurement models and future research directions.
Contribution
It defines dual instruments and sub-observables, characterizes their effect algebras, and studies their convexity, sequential products, and extensions, advancing the mathematical framework of quantum measurements.
Findings
01
Dual instruments measure a unique observable but determine many sub-observables.
02
Characterization of sub-observable effect algebras and their convexity.
03
Discussion of sequential products and examples including L"uders, Holero, and constant state instruments.
Abstract
We introduce the concepts of dual instruments and sub-observables. We show that although a dual instruments measures a unique observable, it determines many sub-observables. We define a unique minimal extension of a sub-observable to an observable and consider sequential products and conditioning of sub-observables. Sub-observable effect algebras are characterized and studied. Moreover, the convexity of these effect algebras is considered. The sequential product of instruments is discussed. These concepts are illustrated with many examples of instruments. In particular, we discuss L\"uders, Holero and constant state instruments. Various conjectures for future research are presented.
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Algebra and Logic · Quantum Mechanics and Applications · Quantum Information and Cryptography
We introduce the concepts of dual instruments and sub-observables. We show that although a dual instruments measures a unique observable, it determines many sub-observables. We define a unique minimal extension of a sub-observable to an observable and consider sequential products and conditioning of sub-observables. Sub-observable effect algebras are characterized and studied. Moreover, the convexity of these effect algebras is considered. The sequential product of instruments is discussed. These concepts are illustrated with many examples of instruments. In particular, we discuss Lüders, Holero and constant state instruments. Various conjectures for future research are presented.
1 Introduction
In this section we only present general ideas and the detailed definitions will be given in Section 2. An instrument I is considered to be a two-step measurement process. In the first step, an input state ρ is selected and a measurement of I is performed. The outcome Δ of this measurement is observed and the probability of this outcome is given by the trace tr[I(Δ)(ρ)]. In the second step, the state ρ is updated to a new state I(Δ)(ρ)∼ depending on the outcome Δ of the first step. When I produces the outcome Δ we say that the resulting effect is A(Δ). We call the map Δ↦A(Δ) an effect-valued measure or observable and say that I measures the observable A. As we shall see in Section 2, the probability distribution of A in the state ρ becomes:
[TABLE]
In Section 2, we introduce the concept of a sub-observable A1 which can be considered as a deficient observable in the sense that all the possible values of A1 need not be attainable.
We also present the concept of a dual instrument I∗ in Section 2. As we shall see, I∗ satisfies the equation
[TABLE]
for states ρ, outcomes Δ and effects a. Equation (1.1) gives a duality between I and I∗. Defining
Ia∗(Δ)=I∗(Δ)(a), we shall show in Section 2 that Ia∗ is a sub-observable which we say is determined by I. Thus, although I measures a unique observable, it determines many sub-observables.
In Section 3, we show that every sub-observable has a unique minimal extension to an observable. We also consider sequential products and conditioning of
sub-observables. We next characterize and study sub-observable effect algebras. In particular, we show that the set of sub-observables Ia∗ determined by
I forms an effect algebra in the natural way. Moreover, the convexity of these effect algebras is considered. Section 4 studies sequential products of instruments. All of these concepts are illustrated with many examples of instruments and observables. In particular, we discuss Lüders, Holevo and constant state instruments. Various conjectures for future research are presented
2 Basic Definitions
Let S be a quantum system described by a complex Hilbert space H and L(H) be the set of bounded linear operators on H. For
A,B∈L(H), we write A≤B if ⟨ϕ,Aϕ⟩≤⟨ϕ,Bϕ⟩ for all ϕ∈H. We call a∈L(H) an effect if 0≤a≤I where [math], I are the zero and identity operators, respectively. An effect describes a two-valued true-false experiment and the set of effects is denoted by E(H).
If an a∈E(H) is true, then its complementa′=I−a is false. Let (ΩA,FA) be a measurable space. An observable with
outcome space(ΩA,FA) is a normalized effect-valued measure A:FA→E(H). That is, Δ↦A(Δ) is countably additive in the strong operator topology and A(ΩA)=I. We interpret A(Δ) as the effect that is true when a measurement of A results in an outcome in Δ. A state for the system S is an effect ρ that satisfies tr(ρ)=1. States describe the initial condition of the system and the set of states is denoted by S(H) [1, 2, 9, 11, 13]. If ρ∈S(H) and A is an observable, the distribution of A in the state
ρ is a probability measure given by
[TABLE]
We denote the set of observables by Ob(H). If Δ↦A(Δ) is countably additive but A(ΩA) need not be I, then A is called a
sub-observable. We denote the set of sub-observables by Sob(H).
An effect ρ is called a partial state if tr(ρ)≤1. An operation is a completely positive linear map O:L(H)→L(H) such that tr[O(ρ)]≤1 for all ρ∈S(H). If tr[O(ρ)]=1 for all ρ∈S(H) then O is called a
channel [1, 9, 11, 13]. We denote the set of operations by O(H). Let (ΩI,FI) be a measurable space. An instrument with outcome space(ΩI,FI) is a normalized operation-valued measure I. That is, for Δ∈FI, Δ↦I(Δ)∈O(H) is countably additive in the strong operation topology and I=I(ΩI) is a channel
[9, 13]. We denote the set of instruments by In(H). We interpret I∈In(H) as an apparatus that measures an observable I and updates states. If ρ∈S(H), then I(Δ)(ρ) is a partial state and assuming I(Δ)(ρ)=0, then
[TABLE]
is a state. We call [I(Δ)(ρ)]∼ the update of ρ given that a measurement of I results in an outcome in Δ. If
ρ∈S(H), the distribution of I∈In(H) is the probability measure given by
[TABLE]
The dual instrument to I∈In(H) is the unique map I∗(Δ):L(H)→L(H), Δ∈FI, satisfying
[TABLE]
for all A∈L(H) [8]. It follows that Δ↦I∗(Δ) is countable additive and I∗(Δ) is a completely positive linear map such that I∗(Δ):E(H)→E(H) for all Δ∈FI and I∗(ΩI)I=I [8]. If a∈E(H), we define Ia∗(Δ)=I∗(Δ)(a). Then Ia∗∈Sob(H) and we say that IdeterminesIa∗. We interpret
Ia∗(Δ)∈E(H) as the update of the effect a given that a measurement of I results in an outcome in Δ. In this way, an instrument not only updates states, it also can be employed to update effects. For all ρ∈S(H) we have from (2.1) that
[TABLE]
Thus, the probability of the effect Ia∗(Δ) when S is in the state ρ is the probability that a measurement of I results in an outcome in
Δ times the probability of a in the updated state (I(Δ)(ρ))∼. Notice that
[TABLE]
so II∗ is an observable. We call II∗ the observable measured by I and we write I=II∗. Notice that I is the unique observable satisfying
[TABLE]
for all Δ∈FI, ρ∈S(H). We have that Ia∗ is an observable if and only if
[TABLE]
which is equivalent to
[TABLE]
We now present some examples that illustrate the previous definitions. An observable A is finite if ΩA is a finite set. In this case we assume that
FA=2ΩA so we need not specify the σ-algebra FA. We then write A={ax:x∈ΩA} and we have that
[TABLE]
for all Δ⊆ΩA. Corresponding to a finite observable A we have the Lüders instrumentLx(ρ)=ax1/2ρax1/2 for all ρ∈S(H), x∈ΩA [12]. It follows that
[TABLE]
for all ρ∈S(H), Δ⊆ΩA=ΩL. The dual instrument satisfies Lx∗(b)=a1/2ba1/2 for all x∈ΩA,
b∈E(H) [8]. The sub-observables determined by L have the form Lb∗, b∈E(H) where
[TABLE]
If Lb∗∈Ob(h), we have that
[TABLE]
It follows that b=I. Hence,
[TABLE]
for all Δ⊆ΩA so L=A is the only observable determined by L.
A Holevo instrument with stateα and observableA has the form
[TABLE]
for all ρ∈S(H), Δ∈FA [10]. The sub-observables determined by H(α,A) become
[TABLE]
Then (H(α,A)∗)a is an observable if and only if
[TABLE]
This is equivalent to tr(αa)=1 which is equivalent to (H(α,A)∗)a(Δ)=A(Δ). Thus, A=(H(α,A)∗)I is the only observable determined by H(α,A).
Let A={ax:x∈ΩA} be a finite observable and {αx:x∈ΩA}⊆S(H). A
finite Holevo instrument with states{αx:x∈ΩA} and observableA has the form
[TABLE]
The sub-observables determined by H(α,A) becomes
[TABLE]
We see that (H(α,A)∗)a is an observable if and only if
[TABLE]
which is equivalent to tr(αxa)=1 for all x∈ΩA. Again, A is the only observable determined by H(α,A).
H(α,A) is also called a conditional state preparator [9].
A constant-state instrument has the form Iα(Δ)(ρ)=I(Δ)(α) where α∈S(H), I∈In(H)
[8]. Since
[TABLE]
for all ρ∈S(H), we conclude that Iα∗(Δ)(a)=tr[I(Δ)(α)a]I for all Δ∈FI. Hence, for all a∈E(H) we obtain
[TABLE]
It follows that (Iα∗)a is an observable if and only if
[TABLE]
There can be many a∈E(H) that satisfy (2.3). For example, suppose I(ρ)=∑PiρPi where Pi=∣ψi⟩⟨ψi∣ and
{ψi} is an orthonormal basis for H. Also, suppose α=∣ψ1⟩⟨ψ1∣. Then I(α)=P1 and we have
[TABLE]
Then ⟨ψ1,aψ1⟩=1 if and only if aψ1=ψ1 and there are many a∈E(H) that satisfy this. We conclude that Iα can determine many sub-observables. The unique observable measured by Iα is Iα=(Iα∗)I where
[TABLE]
We now discuss the algebraic structure of E(H). An effect algebra is a four-tuple (E,0,1,⊕) where E is a set, 0,1 are elements of E and
⊕ is a partial binary operation on E [3, 5, 6, 9]. When a⊕b is defined, we say that a⊕bexists and write
a⊥b. An effect algebra satisfies the following axioms:
(E1)
If a⊥b, then b⊥a and a⊕b=b⊕a.
(E2)
If a⊥b, c⊥(a⊕b), then b⊥c, a⊥(b⊕c) and
a⊕(b⊕c)=(a⊕b)⊕c.
(E3)
If a∈E, there exists a unique a′∈E such that a′⊥a and a⊕a′=1.
(E4)
If a⊥1, then a=0.
It is easy to check that (E(H),0,I,⊕) is an effect algebra where a⊥b when a+b≤I and in this case we define a⊕b=a+b. We interpret the effect a⊕b to be a parallel stochastic sum of a and b.
For a,b∈E(H) we define their standard sequential product by a∘b=a1/2ba1/2 [3, 4]. We interpret a∘b as the effect that results from first measuring a and then measuring b. In this way, the measurement of a can interfere with the measurement of b but not vice-versa. It is shown in [4] that a∘b=b∘a if and only if ab=ba. Most of the following properties of the standard sequential product are straightforward to show
[3].
Lemma 2.1**.**
(1)* a∘(b⊕c)=a∘b⊕a∘c.
(2)I∘a=a∘I=a.
(3) If a∘b=0, then ab=ba.
(4) If ab=ba, then a∘(b∘c)=(a∘b)∘c for all c∈E(H).
(5) If ac=ca and bc=cb, then c(a∘b)=(a∘b)c and c(a⊕b)=(a⊕b)c.
(6)a∘b≤a for all a,b∈E(H).
(7) If a≤b, then c∘a≤c∘b for all c∈E(H).*
Notice that if A={ax:x∈ΩA} is a finite observable, then the corresponding Lüders instrument has the form
[TABLE]
and its determined sub-observables are given by
[TABLE]
3 Sub-Observables
Let A be a sub-observable that is not an observable and let a=A(ΩA)=I. For the outcome space (ΩA,FA), let y∈/ΩA and define ΩB=ΩA∪{y}, FB=FA∪{Δ∪{y}:Δ∈FA}. Then FB is a σ-algebra of subsets of ΩB and we call (ΩB,FB) the one-point extension of (ΩA,FA). For Γ∈FB define
B(Γ)=A(Γ) if Γ∈FA and B(Γ)=A(Δ)+a′ if Γ=Δ∪{y}, Δ∈FA. Then B is an observable with outcome space (ΩB,FB) that we call the minimal extension of A. Notice that if A=Ob(H), then B is essentially the same as A. For a simple example, if a∈E(H) with a=0,I, then Ax=a is a sub-observable with outcome space {{x},{∅,{x}}}. The minimal extension of A is B={Bx,By} where Bx=a, By=a′ and the outcome space is
{{x,y},{∅,{x},{y},{x,y}}}.
A sub-instrumentI satisfies the conditions for an instrument except I(ΩI) need not be a channel. Let the Kraus decomposition of I(ΩI) be I(Ω)(ρ)=∑CiρCi∗ [9, 11, 13] where Ci∈L(H) and ∑Ci∗Ci=D<I. Notice that D∈E(H). Let (ΩJ,FJ) be the one-point extension of (ΩJ,FJ) and define
J(Δ)=I(Δ) if Δ∈ΩJ and
[TABLE]
Then J is an instrument called the minimal extension of I.
Let A∈Sob(H) with outcome space (ΩA,FA) and let A1 be the minimal extension of A with outcome space
(ΩA1,FA1). Let J1 be an instrument with outcome space (ΩA1,FA1) such that J1=A1. (Such an instrument exists although it need not be unique.) Then for all Δ∈FA1 we have
[TABLE]
for all ρ∈S(H). Hence, for all Δ∈FA we have tr[J1(Δ)(ρ)]=tr[ρA(Δ)] for all
ρ∈S(H). For example, let Ia∗ be a sub-observable determined by I∈In(H). Let Ia,1∗ be the minimal extension of
Ia∗ with outcome space (Ω1,F1) and let J1 be an instrument with outcome space (Ω1,F1) such that
(Ω1,F1) and J1=Ia,1∗. Then for every Δ∈FI we have
[TABLE]
Let A,B∈Sob(H) and let A1 be the minimal extension of A. If I∈In(H) satisfies I=A1, then define the
I-sequential product ofAthenBwith outcome space(ΩA×ΩB,FA×FB) to be the sub-observable A[I]B=I∗(B). This is shorthand notation for
[TABLE]
for all Δ∈FA, Γ∈FB [5, 6, 7]. We also define BI-conditioned byA to be the sub-observable with outcome space(ΩB,FB) given by
Example 1. Let A={ax:x∈Ω} be a finite observable and let L be the Lüders instrument given by Lx(ρ)=ax∘ρ. Then for
b∈E(H) we have Lb∗(Δ)=x∈Δ∑ax∘b and we define b1∈E by
[TABLE]
Let Ω1=Ω∪{y} be the one-point extension of Ω and the minimal extension of Lb∗ satisfies Lb,1∗(x)=ax∘b for x∈Ω, Lb,1∗(y)=b′ and
[TABLE]
for Δ⊆Ω. Let J be the instrument on Ω1 given by
[TABLE]
for x∈Ω and J(y)(ρ)=(b1′)∘ρ. Then J=Lb,1∗ so J measures Lb,1∗. The J-sequential product of Lb∗ then Lc∗ becomes [7]
Another instrument that measures Lb,1∗ is the finite Holevo instrument H(α,Lb,1∗) with states αx and observable A. We then have
[TABLE]
Moreover,
[TABLE]
Example 2. Let H(α,A)(Δ)(ρ)=tr[ρA(Δ)]α be a Holevo instrument and let
[TABLE]
be a sub-observable determined by H(α,A). The minimal extension of (H(α,A)∗)a satisfies
[TABLE]
Notice that D is additive because if Δ∩Γ=∅ and y∈/Δ∪Γ, then
[TABLE]
Since H(β,D) measures D we have
[TABLE]
Moreover,
[TABLE]
If A∈Sob(H) and Δ1,Δ2∈FA with Δ1⊆Δ2, then A(Δ1)≤A(Δ2) and in particular,
A(Δ)≤A(ΩA) for all Δ∈FA. For A,B∈Sob(H) we write A≤B if (ΩA,FA)=(ΩB,FB) and
A(Δ)≤B(Δ) for all Δ∈FA. Let U⊆Sob(H) and assume that all elements of U have the same outcome set
(Ω,F). We call U a Sobeffect algebra if:
(S1)
there exists an observable Z∈U,
(S2)
if A∈U then A′=Z−A∈U,
(S3)
if A,B∈U and A+B∈Sob(H), then A+B∈U.
Notice that 0∈U because 0=Z−Z∈U. Also, Z=A is the only observable in U. Indeed, suppose A is an observable in U, then
A′=Z−A∈U. Since
[TABLE]
we conclude that A′(Δ)≤A′(Ω)=0 for all Δ∈F. Hence, A′=0 so A=Z. If A,B∈Sob(H) with A+B∈Sob(H), we write A⊥B. When A⊥B we define A⊕B=A+B and say that A⊕Bexists.
Theorem 3.1**.**
If U is a Sob effect algebra, then (U,0,Z,⊕) is an effect algebra.
Proof.
There are four conditions to be satisfied which we now check.
(E1) If A,B∈U with A⊥B, then B⊥A and A⊕B=B⊕A=A+B∈U.
(E2) If A,B,C∈U with A⊥B and C⊥(A⊕B), then (A⊕B)⊕C=A+B+C∈U,
Hence, B⊥C and A⊥(B⊕C) so
[TABLE]
(E3) If A∈U, then A′=Z−A is the unique element of U satisfying A⊕A′=Z.
(E4) If A∈U and A⊥Z, then
[TABLE]
Hence, −A∈U and it follows that A=0.
∎
If I∈In(H) and UI={Ia∗:a∈E(H)}, then we conjecture that U need not be a Sob effect algebra. However, we can change the definition of ⊥ so that UI becomes an effect algebra. We write Ia∗⊥Ib∗ is a⊥b and if a⊥b we define Ia∗⊕Ib∗=I(a+b)∗.
Theorem 3.2**.**
If I∈In(H), then (UI,0,II∗,⊕) is an effect algebra and F(a)=Ia∗ is a morphism from E(H) onto
UI. Moreover, (Ia∗)′=Ia′∗.
Proof.
If a⊥b, then
[TABLE]
for all Δ∈FI. Hence, Ia∗⊕Ib∗=Ia+b∗=Ib∗+Ib∗. We now check the four conditions for an effect algebra.
(E1) If Ia∗,Ib∗∈UI with Ia∗⊥Ib∗ we have Ib∗⊥Ia∗ and
[TABLE]
(E2) If Ia∗,Ib∗,Ic∗∈UI with Ia∗⊥Ib∗ and Ic∗⊥(Ia∗⊕Ib∗) then a⊥b and c⊥(a⊕b). Hence, a+b+c∈E(H) so b⊥c and a⊥(b⊕c). Hence, Ib∗⊥Ic∗ and
Ia∗⊥(Ib∗⊕Ic∗) and we have
[TABLE]
(E3) If Ia∗∈UI, then Ia′∗⊥Ia∗ and Ia∗⊕Ia′∗=Ia+a′∗=II∗.
If Ia∗⊕Ib∗=II∗, then Ib∗=II∗−Ia∗=Ia′∗ so (Ia∗)′=Ia′∗ is unique.
(E4) If Ia∗⊥II∗, then a⊥I so a=0 and hence, Ia∗=0.
To show that F is a morphism, if a⊥b we have
[TABLE]
Moreover, F(I)=II∗ so F is a morphism.
∎
We now show that certain subsets UI⊆Sob(H) are Sob effect algebras.
Theorem 3.3**.**
If I=H(α,A) is a Holevo instrument, then UI is a Sob effect algebra.
Proof.
We have that UI={Ia∗:a∈E(H)}. We now check the three conditions for a Sob effect algebra.
(1) II∗∈UI and II∗∈Ob(H).
(2) If Ia∗∈UI, then for all Δ∈FI we obtain
[TABLE]
Hence, II∗−Ia∗=Ia′∗∈UI.
(3) Let Ia∗,Ib∗∈UI and suppose Ia∗+Ib∗∈Sob(H). Then for all Δ∈FI we have
[TABLE]
It follows that 0≤tr(αa)+tr(αb)≤1. If C=[tr(αa)+tr(αb)]I we have that C∈E(H) and
[TABLE]
Therefore, Ia∗+Ib∗=Ic∗∈UI.
We conclude that UI is a Sob effect algebra.
∎
Theorem 3.4**.**
If Iα(Δ)(ρ)=I(Δ)(α) is a constant state instrument, then UIα is a Sob effect algebra if and only if for every a,b∈E(H) satisfying tr[I(α)(a+b)]≤1 there exists a c∈E(H) such that
[TABLE]
for all Δ∈FI.
Proof.
We have that (Iα∗)a(Δ)=tr[I(Δ)(α)a]I for all a∈E(H), Δ∈FI. The three conditions for
UI to be a Sob effect algebra are the following:
(1) (Iα∗)I=tr[I(Δ)(α)]I∈Ob(H).
(2) (Iα∗)I−(Iα∗)a=(Iα∗)a′∈UIα.
(3) Let (Iα∗)a,(Iα∗)b∈Uα and suppose that (Iα∗)a+(Iα∗)b∈Sob(H). We then have
[TABLE]
and hence, tr[I(Δ)(α)(a+b)]≤1 for all Δ∈FI.
It follows that [I(α)(a+b)]≤1. If the given condition holds, there exists a c∈E(H) such that
[TABLE]
for all Δ∈FI so that (Iα∗)c=(Iα∗)a+(Iα∗)b.
Hence, UIα is a Sob effect algebra. Conversely, suppose UIα is a Sob effect algebra and a,b∈E(H) satisfy tr[I(α)(a+b)]≤1. Then by (3.1)
[TABLE]
for all Δ∈FI so (Iα∗)a+(Iα∗)b∈Sob(H). Therefore, there exists a c∈E(H) such that
(Iα∗)a+(Iα∗)b=(Iα∗)c. Again by (3.1)
[TABLE]
Example 3. If Lx(ρ)=ax∘ρ is an arbitrary Lüders instrument, we do not know whether UL is a Sob effect algebra. However, in the case where ax are projections (we then call Lsharp) we can show that it is. Indeed, if La∗+Lb∗∈Sob(H) then
[TABLE]
We conclude that c∈E(H) and since axay=δxyax for every x,y∈ΩL we have
[TABLE]
Hence, Lc∗=La∗+Lb∗ so UL is a Sob effect algebra. ∎
A subset V⊆Sob(H) is convex if Ai∈V, 0≤λi≤1, i=1,2,…,n, ∑i=1nλi=1, implies
∑i=1nλiAi∈V. A Sob effect algebra need not be convex. For example V={{0,0},{0,I}} is a Sob effect algebra that is not convex because
[TABLE]
Theorem 3.5**.**
A Sob effect algebra U is convex if and only if A∈U, 0≤λ≤1 imply λA∈U.
Proof.
Suppose U is convex, A∈U and 0≤λ≤1. We then have
[TABLE]
Conversely, suppose λA∈U whenever A∈U and 0≤λ≤1. We need to show that if Ai∈U, 0≤λi≤1,
∑i=1nλi=1, then ∑i=1nλiAi∈U. We employ induction on n. If n=2, suppose that A1,A2∈U,
0≤λ1,λ2≤1 and λ1+λ2=1. By assumption λ1A1,λ2A2∈U and since
[TABLE]
we have that λaA1+λ2A2∈Sob(H). Since U is a Sob effect algebra
λ1A1+λ2A2∈U so the result holds for n=2. Proceeding by induction, suppose the result holds for n≥2, Ai∈U,
i=1,2,…,n+1, 0≤λi≤1 and ∑i=1n+1λi=1. Letting μ=∑i=1nλi we can assume that μ=0. We have that ∑i=1nλi/μ=1 so by hypothesis μ1∑n=1nλiAi∈U. Since 0≤μ≤1 we obtain
∑i=1nλiAi∈U. Since An+1∈U we have that λn+1An+1∈U. Moreover,
∑i=1nλiAi+λn+1An+1∈Sob(H) so ∑i=1n+1λiAi∈U.
∎
Notice that UI={Ia∗:a∈E(H)} is convex because if Iai∗∈UI and 0≤λi≤1 with
∑λi=1, then b=∑λiai∈E(H). We conclude that
[TABLE]
If a,b∈E(H) we define the sequential product of Ia∗ and Ib∗ to be the sub-observable
Ia∗∘Ib∗(Δ)=Ia∘b∗(Δ) for all Δ∈FI. If ab=ba, it follows that
Ia∗∘Ib∗=Ib∗∘Ia∗. The next theorem follows from Lemma 2.1.
Theorem 3.6**.**
*The sequential product Ia∗∘Ib∗ satisfies the following conditions:
(1) If b⊥c, then Ia∗∘(Ib∗+Ic∗)=Ia∗∘Ib∗+Ia∗∘Ic∗.
(2) If 0≤λi≤1, ∑i=1nλi=1, then for any b1,b2,…,bn∈∈E(H) we have*
[TABLE]
(3)* II∗∘Ia∗=Ia∗∘II∗=Ia∗ for all a∈E(H).
(4) If a∘b=0, then Ia∗∘Ib∗=Ib∗∘Ia∗.
(5) If ab=ba, then Ia∗∘(Ib∗∘Ic∗)=(Ia∗∘Ib∗)∘Ic∗.
(6) If ac=ca and bc=cb then Ic∗∘(Ia∗∘Ib∗)=(Ia∗∘Ib∗)∘Ic∗ and
Ic∗∘(Ia∗+Ib∗)=(Ia∗+Ib∗)∘Ic∗ when a⊥b.
(7)Ia∗∘Ib∗≤Ia∗
(8) If a≤b, then Ic∗∘Ia∗≤Ic∗∘Ib∗ for every c∈E(H).*
The distribution of Ia∗∘Ib∗ in the state ρ becomes
[TABLE]
Example 4. For the Holevo instrument H(α,A) we have
[TABLE]
Not only is (H(α,A)∗)a∘(H(α,A)∗)b≤(H(α,A)∗)a as in Theorem 3.6(7) but
[TABLE]
for a constant λ. Writing I=H(α,A), since I(Δ)(ρ)=tr[ρA(Δ)] it follows from (3) that the distribution of Ia∗∘Ib∗ is
[TABLE]
which is a constant times the distribution of I. If Iα(Δ)=I(Δ)α is a constant state instrument, we obtain
[TABLE]
In particular, if I=H(β,A) is a Holevo instrument, then
[TABLE]
4 Sequential Products of Instruments
Let I,J∈In(H) with outcome spaces (ΩI,FI), (ΩJ,FJ), respectively. We define the
sequential product ofIthenJ to be the instrument [7] with outcome space
(ΩI×ΩJ,FI×FJ) that satisfies
[TABLE]
for all Δ∈FI, Γ∈FJ, ρ∈S(H). We also define Jconditioned byI to be the instrument give by [7].
[TABLE]
Theorem 4.1**.**
(1)* For all a∈E(H) we have*
[TABLE]
(2)* The observable measured by I∘J satisfies*
[TABLE]
(3)* For all a∈E(H) we have*
[TABLE]
(4)* The observable measured by (J∣I) satisfies*
[TABLE]
Proof.
(1) For all ρ∈S(H), a∈E(H) we have
[TABLE]
Hence,
[TABLE]
It follows that
[TABLE]
(2) It follows from (1) that
[TABLE]
(3) Since
[TABLE]
We conclude that
[TABLE]
(4) It follows from (3) that
[TABLE]
Example 5. Let I=H(α,A), J=H(β,B) be Holevo instruments so that Ia∗(Δ)=tr(αa)A(Δ) and
Ja∗(Γ)=tr(βa)B(Γ). We then obtain
[TABLE]
For all a∈E(H) we have
[TABLE]
The observable measured by I∘J satisfies
[TABLE]
The instrument J conditioned by I becomes
[TABLE]
We then obtain
[TABLE]
The observable measured by (J∣I) is (J∣I)I∗(Γ)=tr[αB(Γ)]I\hfill□
Example 6. Let Ix(ρ)=ax∘ρ, Jy(ρ)=by∘ρ be Lüders instruments. We then have
[TABLE]
The dual instruments satisfying Ix∗(a)=ax∘a, Jy∗(a)=by∘a and we obtain
[TABLE]
The observable measured by I∘J becomes
[TABLE]
which is the standard sequential product of the observable A={ax:x∈ΩA} and B={by:y∈ΩB} [6, 7].
The instrument J conditioned by I becomes
Example 7. Let Iα, Jβ be constant-state instruments so that
[TABLE]
The sequential product becomes
[TABLE]
The sub-observables determined by Iα∘Jβ are given by
[TABLE]
The observable measured by Iα∘Jβ is
[TABLE]
The instrument Jβ conditioned by Iα satisfies
[TABLE]
so we conclude that (Jβ∣Iα)=Jβ. We have that
[TABLE]
and the observable measured by (Jβ∣Iα) becomes
[TABLE]
So far we have considered examples of sequential products for two instruments of the same types. We now discuss sequential products of instruments of different types.
Example 8. Let I be the Lüders instrument Ix(ρ)=ax∘ρ and J the finite Holevo instrument Jy(ρ)=tr[ρBy]βy. The sequential product becomes
[TABLE]
The sub-observables determined by I∘J are given by
[TABLE]
As in Example 6, we obtain
[TABLE]
which is the standard sequential product of the observables A={ax:x∈ΩA} and B. Letting
[TABLE]
we obtain
[TABLE]
We have that
[TABLE]
The observable measured by (J∣I) becomes
[TABLE]
We now consider the other order. These are given by the following equations.
[TABLE]
Bibliography13
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1[1] P. Busch, M. Grabowski and P. Lahti, Operational Quantum Physics , Springer-Verlag, Berlin, 1995.
2[2] E. Davies and J. Lewis, An operational approach to quantum probability, Comm. Math. Phys. 17 , 239–260 (1970).
3[3] S. Gudder and R. Greechie, Sequential products on effect algebras, Rep. Math. Phys. 49 , 87–111 (2002).
4[4] S. Gudder and G. Nagy, Sequential quantum measurements, J. Math. Phys. 42 , 5212–5222 (2001).
5[5] S. Gudder, Quantum instruments and conditioned observables, ar Xiv:quant-ph 2005.08117 (2020).
6[6] ——–, Combinations of quantum observables and instruments, ar Xiv:quant-ph 2010.08025 (2020).
7[7] ——–, Sequential products of quantum measurements, ar Xiv:quant-ph 2108.07925 (2021).
8[8] ——–, Dual instruments and sequential products of observables, ar Xiv:quant-ph 2208.07923 (2022).