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arXiv:2604.15604v1 Announce Type: new Abstract: The generation of high-performance nonclassical light remains a cornerstone of quantum technologies, yet faces a fundamental trade-off between emission …
arXiv:2604.15603v1 Announce Type: new Abstract: Current fault-tolerant quantum compilers allocate error budgets uniformly during resource estimation, causing suboptimal physical resource overhead. We …
arXiv:2604.15552v1 Announce Type: new Abstract: Group-equivariant quantum models are designed to exploit symmetry and can improve trainability, but it remains unclear how symmetry constraints shape th…
arXiv:2604.15540v1 Announce Type: new Abstract: Quantum systems may contain underlying correlations which are inaccessible to computationally bounded observers. We capture this distinction through a f…
arXiv:2604.15510v1 Announce Type: new Abstract: Understanding mechanisms for the breakdown of thermalization in closed quantum systems is a central problem in quantum many-body physics. We demonstrate…
arXiv:2604.15441v1 Announce Type: new Abstract: A key challenge in classical machine learning is to mitigate overparameterization by selecting sparse solutions. We translate this concept to the quantu…
arXiv:2604.15436v1 Announce Type: new Abstract: We introduce the parity-unfolded architecture, a fault-tolerant quantum computing scheme that relies on direct preparation and teleportation of small-an…
arXiv:2604.15435v1 Announce Type: new Abstract: Quantum search is among the most important algorithms in quantum computing. At its core is quantum amplitude amplification, a technique that achieves a …
arXiv:2604.15432v1 Announce Type: new Abstract: Quantum algorithms on near-term quantum processors are typically executed using shallow quantum circuits composed of one- and two-qubit gates. However, …
arXiv:2604.15427v1 Announce Type: new Abstract: In the recent quantum echoes experiment, Google Quantum AI showed that out-of-time-order correlators (OTOCs) for random-circuit time evolution can be me…
arXiv:2604.15412v1 Announce Type: new Abstract: We study conformal quantum mechanics by first considering the perturbative $S$-matrix in various dimensions. The model has two couplings and we study pe…
arXiv:2604.15405v1 Announce Type: new Abstract: Stabilizer states admit compact classical descriptions, but many downstream tasks still require their full amplitude vectors. Since the output itself ha…
arXiv:2604.15393v1 Announce Type: new Abstract: Sequential Quantum State Discrimination (SQSD) can be naturally framed as a sequential decision-making problem: at each time step, an agent must decide …
arXiv:2604.15389v1 Announce Type: new Abstract: We present an architecture-level hardware-to-logical-to-decoder execution stack for hybrid continuous-variable and discrete-variable quantum error corre…
arXiv:2604.15382v1 Announce Type: new Abstract: Predicting heat-related physiological events at the population level is challenging due to the complex interactions among climatic, demographic, and soc…
arXiv:2604.15381v1 Announce Type: new Abstract: Hydration status is a key physiological indicator associated with cellular homeostasis, renal function, and overall health. Recent advances in smart sen…
arXiv:2604.15324v1 Announce Type: cross Abstract: As AI enters creative practice, audiences face growing uncertainty in judging authenticity and value. This study examines the Struggle Premium, the ad…
arXiv:2604.15319v1 Announce Type: cross Abstract: Exploratory analysis of high-dimensional data relies on embedding the data into a low-dimensional space (typically 2D or 3D), based on which visualiza…
arXiv:2604.15316v1 Announce Type: cross Abstract: With large language models (LLMs) becoming increasingly prevalent in daily life, so too has the tendency to attribute to them human-like minds and emo…
arXiv:2604.15314v1 Announce Type: cross Abstract: This research aimed to develop an intelligent system to evaluate performance and extract behavioral models for children with ASD and neurotypical (TD)…
arXiv:2308.10562v2 Announce Type: cross Abstract: The field of Computer Vision (CV) is increasingly shifting towards ``high-level'' visual sensemaking tasks, yet the exact nature of these tasks remain…
arXiv:2604.16286v1 Announce Type: new Abstract: As AI systems are increasingly used to conduct research autonomously, misaligned systems could introduce subtle flaws that produce misleading results wh…
arXiv:2604.16280v1 Announce Type: new Abstract: Explaining Machine Learning (ML) results in a transparent and user-friendly manner remains a challenging task of Explainable Artificial Intelligence (XA…
arXiv:2604.16278v1 Announce Type: new Abstract: Although most of the automated theorem-proving approaches depend on formal proof systems, informal theorem proving can align better with large language …