Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Three Hamiltonians are Sufficient for Unitary $k$-Design in Temporal Ensemble
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...
Spatial Localization of Relativistic Quantum Systems: The Commutativity Requirement and the Locality Principle. Part II: A Model from Local QFT
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...
Generalized Numerical Construction of MUBs: A Group Theoretical Investigation
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...
Entanglement Rate Maximization for Dual-Connectivity Wireless Quantum Networks
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...
Noise tolerance via reinforcement in the quantum search problem
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...
Quantization of Lagrangian Descriptors
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...
Spin-based magnetic detection of optically trapped single cell in microfluidic channel
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...
Co-Authoring with AI: How I Wrote a Physics Paper About AI, Using AI
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...
The physical basis of information flow in neural matter: a thermocoherent perspective on cognitive dynamics
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}, ...
Dismagicker: Unitary Gate for Non-Stabilizerness Reduction
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...
Tighter entropic uncertainty relations in the presence of quantum memories for complete sets of mutually unbiased bases
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 ...
Statistics of Matrix Elements of Operators in a Disorder-Free SYK model
Tingfei Li, Shuanghong Li·Apr 5, 2026
Recently, studies have explored the statistics of matrix elements of local operators in the Lieb-Liniger model. It was found that the probability distribution function for off-diagonal matrix elements $\langle \boldsymbolμ|\mathcal{O}|\boldsymbolλ \r...
Adaptive Tensor Network Simulation via Entropy-Feedback PID Control and GPU-Accelerated SVD
Harshni Kumaresan, Gayathri Muruganantham, Lakshmi Rajendran +1 more·Apr 5, 2026
Tensor network methods, particularly those based on Matrix Product States (MPS), provide a powerful framework for simulating quantum many-body systems. A persistent computational challenge in these methods is the selection of the bond dimension chi, ...
Theory of the Collective Many-body Subradiance in Waveguide QED
Xin Wang, Junjun He, Zeyang Liao·Apr 5, 2026
We present an analytical theory for the most subradiant modes in a finite one-dimensional emitter array coupled to either an ideal or a nonideal waveguide. Using an effective non-Hermitian Hamiltonian together with a Bragg-edge open-boundary ansatz, ...
Microstructural Topology as a Prescriptor for Quantum Coherence: Towards A Unified Framework for Decoherence in Superconducting Qubits
Vinayak P. Dravid, Akshay A. Murthy, Peter Lim +5 more·Apr 5, 2026
In superconducting quantum circuits, decoherence improvements are frequently obtained through process interventions that simultaneously modify surface chemistry, microstructural topology, and device geometry, leaving mechanistic attribution structura...
From Paper to Program: A Multi-Stage LLM-Assisted Workflow for Accelerating Quantum Many-Body Algorithm Development
Yi Zhou·Apr 5, 2026
Translating quantum many-body theory into scalable software traditionally requires months of effort. Zero-shot generation of tensor network algorithms by Large Language Models (LLMs) frequently fails due to spatial reasoning errors and memory bottlen...
Formalizing CHSH Rigidity in Lean 4
Tianrun Zhao, Nengkun Yu·Apr 4, 2026
Violation of the Clauser-Horne-Shimony-Holt (CHSH) inequality certifies genuine quantum correlations. In this work, we formalize in Lean 4 the rigidity theorem -- any strategy achieving near-optimal CHSH value must be locally isometric to the canonic...
Robust Universal Photon Blockade in a Bimodal Jaynes-Cummings Model via Kerr Nonlinearity
Guohao Chang, Hunduz Halemjan, Shangyun Liu +2 more·Apr 4, 2026
Universal photon blockade in a two-mode Jaynes-Cummings model incorporating third-order Kerr nonlinearity is demonstrated with a single two-level atom coupled to a waveguide microcavity. Realization of this universal photon blockade is attributed to ...
Entanglement generation from gravitationally produced massless vector particles during inflation
Alessio Belfiglio, Mattia Dubbini, Orlando Luongo·Apr 4, 2026
We study the gravitational production of spectator massless vector particles in a single-field inflationary scenario, and the related entanglement generation across the Hubble horizon. Accordingly, we consider a quasi-de Sitter background evolution, ...
GPU-Accelerated Quantum Simulation: Empirical Backend Selection, Gate Fusion, and Adaptive Precision
Poornima Kumaresan, Pavithra Muruganantham, Lakshmi Rajendran +1 more·Apr 4, 2026
Classical simulation of quantum circuits remains indispensable for algorithm development, hardware validation, and error analysis in the noisy intermediate-scale quantum (NISQ) era. However, state-vector simulation faces exponential memory scaling, w...