The order between extensions and regularizations matters.

The order between extensions and regularizations matters.

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We introduce an axiomatic approach for channel divergences and channel relative entropies that is based on three information-theoretic axioms of monotonicity under superchannels, i.e., generalized data processing inequality, additivity under tensor products, and normalization, similar to the approach given for the state domain in Gour and Tomamiche...

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... We add that the optimal upper bound q of {N (|x⟩⟨x|)} x∈[m] can be computed directly from Lemma 26 as follows: where κ is an integer 1 ⩽ κ ⩽ k, and the inequality follows from Lemma 33. Following the same line of reasoning as the proof of Theorem 4 in the supplemental material section of [29] shows that ...
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Quantum channels represent a broad spectrum of operations crucial to quantum information theory, encompassing everything from the transmission of quantum information to the manipulation of various resources. In the domain of states, the concept of majorization serves as a fundamental tool for comparing the uncertainty inherent in both classical and quantum systems. This paper establishes a rigorous framework for assessing the uncertainty in both classical and quantum channels. By employing a specific class of superchannels, we introduce and elucidate three distinct approaches to channel majorization: constructive, axiomatic, and operational. Intriguingly, these methodologies converge to a consistent ordering. This convergence not only provides a robust basis for defining entropy functions for channels but also clarifies the interpretation of entropy in this broader context. Most notably, our findings reveal that any viable entropy function for quantum channels must assume negative values, thereby challenging traditional notions of entropy.
... In some situations it is important to consider pairs of quantum states and evaluate how different they are from each other. To this end, various quantifiers have been defined, such as the trace distance, the fidelity [38] or quantum divergences [17,14]. These quantifiers all show that, whenever the same channel is applied to each element of a pair of quantum states, in general our ability to distinguish the resulting states is decreased. ...
... A resource theory of quantum distinguishability is given as follows [17,14]. Resources : ((ρ, σ ), H) are pairs of quantum states, that is, ρ, σ ∈ L(H) where H is a finite-dimensional Hilbert space. ...
... operations , non-Markovian quantum process [25][26][27][28][29][30][31][32][33][34][35][36][37], and dynamical resource theory [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52]. They can also be interpreted as quantum functional programming [53,54]. ...
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... In some situations it is important to consider pairs of quantum states and evaluate how different they are from each other. To this end, various quantifiers have been defined, such as the trace distance, the fidelity [37] or quantum divergences [16,13]. These quantifiers all show that, whenever the same channel is applied to each element of a pair of quantum states, in general our ability to distinguish the resulting states is decreased. ...
... A resource theory of quantum distinguishability is given as follows [16,13]. Resources : ((ρ, σ ), H) are pairs of quantum states, that is, ρ, σ ∈ L(H) where H is a finite-dimensional Hilbert space. ...
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... where D(· ·) is the quantum relative entropy [67,78,79] defined as ...
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... Universal transformations of quantum states have played an essential role in the fundamental understanding of quantum information theory and its applications [1]. Recently, higher-order quantum transformations, namely, universal transformations of quantum operations given as black boxes, have been studied in the contexts of processing unitary operations , non-Markovian quantum process [24][25][26][27][28][29][30][31][32][33][34][35][36], and dynamical resource theory [37][38][39][40][41][42][43][44][45][46][47][48]. They can also be interpreted as quantum functional programming [49,50]. ...
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This work considers transformations of encoding operations of quantum information that are given as isometry operations. We propose a universal protocol for isometry inversion that constructs a decoder from multiple calls of an encoding black box transforming a $d$-dimensional system to a $D$-dimensional system. This protocol is probabilistic but exact, and uses the black boxes in parallel. Our protocol can significantly outperform other protocols based on embedding isometry inversion in $D$-dimensional unitary inversion or quantum process tomography. This is because the success probability of our protocol is independent of $D$. The advantage of the performance of this protocol can be understood as being originated in the impossibility of exact isometry complex conjugation for $D \geq 2d$. This means that isometry inversion cannot be achieved by concatenating isometry complex conjugation and isometry transposition. We also perform semidefinite programming to obtain the optimal success probability of isometry inversion, isometry complex conjugation, and isometry transposition in parallel, sequential, and general protocols including indefinite causal order to investigate the performance improvement beyond the parallel protocols. We numerically find a sequential ``success-or-draw'' protocol for isometry inversion for $d=2$ and $D=3$. This implies that there exists a sequential protocol whose success probability is exponentially improved over parallel protocols in the number of calls of the input isometry operation.
... |t k | max Proof. We first refer to previous literature on extensions of channel divergences [24,25]. From this, we define the minimal extension D and maximal extension D of any channel divergence D which reduces to the Kullback-Leibler divergence D on states as: where H S is the Shannon entropy. ...
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The crucial role of channels in physics and information theory motivates the task of characterizing the entropy, or uncertainty, of a channel. Games of chance become a natural candidate for this task, as a system's performance in a gambling game depends solely on the uncertainty of its output. In this work, we construct families of games that induce preorders corresponding to majorization, conditional majorization, and channel majorization. Finally, we provide operational interpretations for all preorders, show the relevance of these results to dynamical resource theories, and find the only asymptotically continuous classical channel entropy.