Information upper bounds in composite quantum systems
Zhaoyang Dong, Yuexian Hou, Chenguang Zhang, Yingjie Gao, Dawei Song

TL;DR
This paper investigates the intrinsic information bounds of quantum systems, revealing that structural constraints limit the information capacity to at most n bits for an n-qubit system, resolving a paradox between different information measures.
Contribution
It analytically derives the upper bound of intrinsic information in quantum systems using MAP estimation and structural constraints, providing a resolution to the information scale contrast paradox.
Findings
The posterior information content of a 2-qubit system is exactly 2.
The intrinsic information of an n-qubit system is bounded by n bits.
Structural constraints cause high interdependence among parameters, limiting information encoding.
Abstract
The intrinsic information of quantum systems refers to the information required to define a quantum state, and may reveal how the nature stores and processes microscopic information. However, there is an evident paradox due to the "\textit{information scale contrast}": Existing analytical results on the information bounds of quantum systems show that the information-carrying capacity of an -qubit system is only . Nonetheless, the intrinsic information content (estimated by, e.g., the number of parameters or the complexity of ontic embedding) indicates that defining an -qubit system often requires information of the order . In this paper, we aim to clarify the upper bound of intrinsic information in quantum systems, as well as explain and resolve the aforementioned paradox. Starting with an analysis of the dependence between the Bloch parameters, we take the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography
