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Guo-Qiang Wang

Publications and source records attributed to Guo-Qiang Wang.

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Kardar-Parisi-Zhang dynamics in an open integrable system: beyond the spontaneous-symmetry-breaking ansatz

The universality of dynamical scaling laws constitutes a cornerstone in the theoretical understanding of quantum many-body systems, particularly in non-equilibrium settings. Recent advancements have proposed a phenomenological ansatz based on spontaneous symmetry breaking (SSB) to unify the description of charge transport in open quantum systems. However, it remains unclear under which conditions it fails to capture the emergent hydrodynamics and if it does break down, whether nontrivial dynamics emerge. In this work we show that Kardar-Parisi-Zhang (KPZ) dynamics in an open integrable model (the B3 model), rather than diffusion from SSB, emerges. We find that the B3 model is equivalent to two interacting asymmetric XXZ spin chains and the ansatz can only capture the influence of the inter-chain interactions. When the initial state is appropriate, the asymmetric XXZ structure dominates the dynamics, which gives KPZ scaling behavior even when the hopping rate becomes negative. Our work motivates theory of charge transport in open systems beyond the ansatz based on SSB.

quant-ph

SRMCA: A Scalable and Resilient Real-time Multi-party Communication Architecture

This paper proposes a scalable and resilient real-time multi-party communication architecture for the delivery of mixed media streams, for which content centric networking, with its intelligent network layer, is chosen for implementation to address the shortcomings of the current IP-based Internet architecture. Content centric networking (CCN) represents one of the major proposals targeting future Internet architecture, and is typically optimized for non-realtime content delivery. Proposed research in this paper addresses the architectural challenges for large-scale deployment of CCN to serve real-time applications from the perspective of a multi-party video conferencing framework, with the necessary architectural components to support application- and system-level objectives, in regards to quality of experience, resource utilization, and scalability. We present an in-depth analysis of the proposed architecture by first providing an analytical driven study for the system, and then demonstrating its performance by emulating the architecture over a test-bed with a large number of participants involved in many-to-many communication sessions. The results suggest that the proposed architecture can scale well above 50 participants without incurring significant penalty in signaling, communication, and computing overheads, with capability to support 100 or more participants.

cs.NI