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arXiv:2604.01638v1 Announce Type: new Abstract: Non-Hermitian skin effect (NHSE) is one of the most fascinating phenomena in non-Hermitian systems, which refers to enormous eigenstates localize at the…
arXiv:2604.01616v1 Announce Type: new Abstract: We propose a privacy-aware hybrid framework for federated medical image classification that combines tensor-network representation learning, MPC-secured…
arXiv:2604.01555v1 Announce Type: new Abstract: A fundamental challenge in quantum physics is determining the ground-state properties of many-body systems. Whereas standard approaches, such as variati…
arXiv:2604.01534v1 Announce Type: new Abstract: Single-shot measurement learning (SSML) learns a compensation unitary from a one-bit success/failure record and halts after a prescribed run of consecut…
arXiv:2604.01519v1 Announce Type: new Abstract: We study the computational complexity of estimating the normalized trace $2^{-n}Tr[f(A)]$ for a log-local Hamiltonian $A$ acting on $n$ qubits. This pro…
arXiv:2604.01515v1 Announce Type: new Abstract: Topological phase transitions in generic multiband systems are mediated by band-touching defects whose codimension -- the number of momentum directions …
arXiv:2604.01507v1 Announce Type: new Abstract: Let $G$ be a strongly regular graph of prime order $p$ with connection degree $k \geq 6$. We prove that the \emph{quantum walk characteristic polynomial…
arXiv:2604.01482v1 Announce Type: new Abstract: Characterising multi-time quantum processes is essential for analysing temporally correlated noise and for designing effective control and mitigation st…
arXiv:2604.01478v1 Announce Type: new Abstract: We introduce a twisted fiber-bundle construction of quantum CSS codes over group algebras \(R=\mathbb F_2[G]\), where each base generator carries a gene…
arXiv:2604.01429v1 Announce Type: new Abstract: Classical shadows (CS) has recently emerged as an important framework to efficiently predict properties of an unknown quantum state. A common strategy i…
arXiv:2604.01426v1 Announce Type: new Abstract: This paper develops a distributed variational quantum algorithm for solving large-scale linear equations. For a linear system of the form $Ax=b$, the la…
arXiv:2604.01408v1 Announce Type: new Abstract: Commutativity gadgets provide a technique for lifting classical reductions between constraint satisfaction problems to quantum-sound reductions between …
arXiv:2604.01376v1 Announce Type: new Abstract: Resource estimation is a significant challenge in evaluating fault tolerant quantum computers. Existing approaches often rely on either fixed architectu…
arXiv:2604.01369v1 Announce Type: new Abstract: General-purpose programmable photonic processors offer a flexible foundation for integrating various functionalities within a single chip. A two-dimensi…
arXiv:2604.01353v1 Announce Type: new Abstract: We construct a broad class of completely positive maps and Go\-rini--Kossakowski--Sudarshan-Lindblad generators for fermionic systems induced by linear …
arXiv:2604.01301v1 Announce Type: new Abstract: Achieving fast, excitation-free quantum control is a vital challenge in modern quantum technologies. In many cases, shortcuts to adiabaticity enable fas…
arXiv:2604.01296v1 Announce Type: new Abstract: Symmetries play a central role in quantum many-body physics, yet uncovering them systematically remains challenging. We introduce a bootstrap framework …
arXiv:2604.01282v1 Announce Type: new Abstract: An important measure of utility for a quantum code is the identification of which logical operations can be implemented fault-tolerantly on its codespac…
arXiv:2604.01250v1 Announce Type: new Abstract: Routing in wireless communication networks is shaped by mobility, interference, congestion, and competing service requirements, making route selection a…
arXiv:2510.16219v3 Announce Type: replace Abstract: Malicious agents pose significant threats to the reliability and decision-making capabilities of Multi-Agent Systems (MAS) powered by Large Language…
arXiv:2508.18649v2 Announce Type: replace Abstract: Safeguarding vision-language models (VLMs) is a critical challenge, as existing methods often suffer from over-defense, which harms utility, or rely…
arXiv:2507.05660v2 Announce Type: replace Abstract: Customizing Large Language Models (LLMs) on untrusted datasets poses severe risks of injecting toxic behaviors. In this work, we introduce Optimus, …
arXiv:2505.02344v3 Announce Type: replace Abstract: The rise of LLMs has increased concerns over source tracing and copyright protection for AIGC, highlighting the need for advanced detection technolo…
arXiv:2401.01374v2 Announce Type: replace Abstract: An attack taxonomy offers a consistent and structured classification scheme to systematically understand, identify, and classify cybersecurity threa…