Papers

Chinonso Onah, Kristel Michielsen·Apr 6, 2026

We formulate a global-position colored-permutation encoding for the capacitated vehicle routing problem. Each of the $K$ vehicles selects a disjoint partial permutation, and the sum of these $K$ color layers forms a full $n\times n$ permutation matri...

Ruo Cheng Huang·Apr 6, 2026

This thesis develops a decision-theoretic framework for extracting thermodynamic work from temporal correlations in quantum systems. We model a classical agent -- lacking quantum memory -- performing adaptive work extraction through continuous infere...

Jaekwon Chang, Guedong Park, Hyunseok Jeong +2 more·Apr 6, 2026

Characterizing quantum states is essential for validating quantum devices, yet conventional quantum state tomography becomes prohibitively expensive as system size grows. Direct tomography offers a distinct route by enabling selective access to indiv...

Lucas Lamata·Apr 6, 2026

Quantum simulation and computing traditionally has been based on two main paradigms, namely, digital and analog. In the digital paradigm, usually single and two-qubit gates (where qubit is an acronym for quantum bit) are employed as building blocks f...

Uman Khalid, Muhammad Shohibul Ulum, Mujirin +3 more·Apr 6, 2026

Quantum clock synchronization (QCS) aims to establish a shared temporal reference between distant nodes by exploiting uniquely quantum phenomena such as entanglement, single-photon interference, and quantum correlations. In contrast to classical sync...

Poornima Kumaresan, Shwetha Singaravelu, Lakshmi Rajendran +1 more·Apr 6, 2026

Quantum machine learning (QML) stands at the intersection of quantum computing and artificial intelligence, offering the potential to solve problems that remain intractable for classical methods. However, the current landscape of QML software framewo...

Rui-Jing Guo, Ji-Yao Chen, Zhi-Yuan Wei·Apr 6, 2026

A common view in monitored quantum dynamics is that local measurements suppress entanglement growth. We show that this intuition can fail in a one-dimensional spinful fermionic chain governed by a BCS Hamiltonian with pairing strength $Δ$ and subject...

Jérémie Messud, Wassil Sennane·Apr 5, 2026

Beyond ground state energy estimation, quantum phase estimation (QPE) applied to many-electron systems has the potential to output a projection on the ground state, that would enable the evaluation of observables other than the energy. In this articl...

Kyle James Stuart Campbell, Luigi Del Debbio, Petros Wallden·Apr 5, 2026

Parametrised quantum circuits are a central framework for near term quantum machine learning. However, it remains challenging to determine in advance how architectural choices, such as encoding strategies, gate placement, and entangling structure, in...

Yi-Neng Zhou, Tian-Gang Zhou, Julian Sonner·Apr 5, 2026

Unitary $k$-designs are central to quantum information and quantum many-body physics as efficient proxies for Haar-random dynamics. We study how chaotic Hamiltonian evolution can generate unitary $k$-designs. Standard approaches typically rely on man...

Valter Moretti·Apr 5, 2026

This paper completes a previous work by constructing a class of positive-energy relativistic spatial localization observables in Minkowski spacetime within quantum field theory, using the stress-energy-momentum tensor smeared with suitable test funct...

Buğra Gültekin, Solomon B. Samuel, Zafer Gedik·Apr 5, 2026

Mutually Unbiased Bases (MUBs) constitute a fundamental geometric structure in quantum theory, known for providing an optimal measurement scheme for quantum state tomography. In prime and prime-power dimensions, analytical constructions of maximal se...

Kavini Thenuwara, Shiva Kazemi Taskooh, Ekram Hossain·Apr 5, 2026

The development of quantum networks (QNs) relies on efficient mechanisms for distributing entanglement among multiple quantum users (QUs) under practical system constraints. This paper investigates the problem of entanglement rate maximization in a d...

Marjan Homayouni-Sangari, Abolfazl Ramezanpour·Apr 5, 2026

We find that reinforcement exponentially reduces computation time of the quantum search problem from $\sqrt{D}$ to $\ln D$ in a $D$-dimensional system. Therefor, a reinforced quantum search is expected to exhibit an exponentially larger noise thresho...

Javier Jiménez-López, V. J. García-Garrido·Apr 5, 2026

We formulate Lagrangian descriptors (LDs) in the path integral framework. Averaging the classical LD over fluctuations about extremal trajectories defines a quantum LD that incorporates quantum effects. Invariant manifolds, which sharply organize cla...

Jun Yin, Sanyou Chen, Yihao Yan +5 more·Apr 5, 2026

Combining optical tweezers with fluorescence microscopy is a powerful tool for single-cell analysis, playing a pivotal role in disease diagnosis, cell sorting, and the investigation of cellular dynamics. However, fluorescence detection faces challeng...

Yi Zhou·Apr 5, 2026

The rapid integration of Large Language Models (LLMs) into scientific writing fundamentally challenges traditional definitions of authorship, responsibility, and scientific integrity. As researchers transition from using computers as deterministic to...

Onur Pusuluk·Apr 5, 2026

Information flow is central to contemporary accounts of cognition, yet its physical basis in living neural matter remains poorly specified. Here, we develop a multiscale resource-theoretical framework motivated by the \textit{thermocoherent effect}, ...

Jiale Huang, Rongyi Lv, Xiangjian Qian +1 more·Apr 5, 2026

We introduce the notion of dismagicker: non-Clifford unitary gate designed to reduce the non-stabilizerness (also called magic) of quantum many-body states. Although both entanglement and non-stabilizerness are fundamental quantum resources, they req...

Qing-Hua Zhang, Cong Xu, Jing-Feng Wu +1 more·Apr 5, 2026

Entropic uncertainty relations provide an information-theoretic framework for quantifying the fundamental indeterminacy inherent in quantum mechanics. We propose more stringent quantum-memory-assisted entropic uncertainty relations for complete sets ...