Our basic concept is the set
E(H) of effects on a finite dimensional complex Hilbert space
H. If
a,b∈E(H), we define the sequential product
a[I]b of
a then
b. The sequential product depends on the operation
I used to measure
a. We begin by studying the properties of this sequential product. It is observed that
b↦a[I]b is an additive, convex morphism and we show by examples that
a↦a[I]b enjoys very few conditions. This is because a measurement of
a can interfere with a later measurement of
b. We study sequential products relative to Kraus, Lüders and Holevo operations and find properties that characterize these operations. We consider repeatable effects and conditions on
a[I]b that imply commutativity. We introduce the concept of an effect
b given an effect
a and study its properties. We next extend the sequential product to observables and instruments and develop statistical properties of real-valued observables. This is accomplished by employing corresponding stochastic operators. Finally, we introduce an uncertainty principle for conditioned observables.
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.
We begin with a study of operations and the effects they measure. We define the probability that an effect
a occurs when the system is in a state
ρ by
Pρ(a)=Tr(ρa). If
Pρ(a)=0 and
I is an operation that measures
a, we define the conditional probability of an effect
b given
a relative to
I by
Pρ(b∣a)=Tr[I(ρ)b]/Pρ(a). We characterize when Bayes' quantum second rule
Pρ(b∣a)=Pρ(a)Pρ(b)Pρ(a∣b) holds. We then consider Lüders and Holevo operations. We next discuss instruments and the observables they measure. If
A and
B are observables and an instrument
I measures
A, we define the observable
B conditioned on
A relative to
I and denote it by
(B∣A). Using these concepts, we introduce Bayes' quantum first rule. We observe that this is the same as the classical Bayes' first rule, except it depends on the instrument used to measure
A. We then extend this to Bayes' quantum first rule for expectations. We show that two observables
B and
C are jointly commuting if and only if there exists an atomic observable
A such that
B=(B∣A) and
C=(C∣A). We next obtain a general uncertainty principle for conditioned observables. Finally, we discuss observable conditioned quantum entropies. The theory is illustrated with many examples. Quanta 2024; 13: 1–10.
This article introduces the concepts of multi-observables and multi-instruments in quantum mechanics. A multi-observable
A (multi-instrument
I) has an outcome space of the form
Ω=Ω1×⋯×Ωn and is denoted by
Ax1⋯xn (
Ix1⋯xn) where
(x1,…,xn)∈Ω. We also call
A (
I) an
n-observable (
n-instrument) and when
n=2 we call
A (
I) a bi-observable (bi-instrument). We point out that bi-observables
A (
I) and bi-instruments have been considered in past literature, but the more general case appears to be new. In particular, two observables (instruments) have been defined to coexist or be compatible if they possess a joint bi-observable (bi-instrument). We extend this definition to
n observables and
n instruments by considering joint marginals of
n-observables and joint reduced marginals of
n-instruments. We show that a
n-instrument measures a unique
n-observable and if a finite umber of instruments coexist, then their measured observables coexist. We prove that there is a close relationship between a nontrivial
n-observable and its parts. Moreover, a similar result holds for instruments. We next show that a natural definition for the tensor product of a finite number of instruments exist and possess reasonable properties. We then discuss sequential products of a finite number of observables and instruments. We present various examples such as Kraus, Holevo and Lüders instruments.
This article begins with a study of convex effect-state spaces. We point out that such spaces are equivalent to interval effect algebras that generate an ordered linear space and possess an order-determining set of states. We then discuss operations and instruments on interval effect algebras under the assumption of an unrestrictive condition. Effects measured by operations and sequential products of effects relative to operations are considered. Observables are introduced and coexistence of effects are discussed. We also present properties of sequential products of observables and conditioning of observables related to instruments. The final section is devoted to Holevo instruments. Pure and mixed Holevo operations are defined and extended to instruments. The Holevo sequential product of two observables is defined and the marginals of these products are computed. We define the commutant of two effects and derive its properties. Examples are given that illustrate the properties of previously presented concepts.
Until recently, a quantum instrument was defined to be a completely positive operation-valued measure from the set of states on a Hilbert space to itself. In the last few years, this definition has been generalized to such measures between sets of states from different Hilbert spaces called the input and output Hilbert spaces. This article presents a theory of such instruments. Ways that instruments can be combined such as convex combinations, post-processing, sequential products, tensor products and conditioning are studied. We also consider marginal, reduced instruments and how these are used to define coexistence (compatibility) of instruments. Finally, we present a brief introduction to quantum measurement models where the generalization of instruments is essential. Many of the concepts of the theory are illustrated by examples. In particular, we discuss Holevo and Kraus instruments. Quanta 2023; 12: 27–40.