Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Simulations of Battery Electrolytes with VQE-qEOM and SQD: Active-Space Design, Dissociation, and Excited States of LiPF$_6$, NaPF$_6$, and FSI Salts
Sk Mujaffar Hossain, Seung-Cheol Lee, Satadeep Bhattacharjee·Sep 17, 2025
Accurate prediction of excited states in battery electrolytes is central to understanding photostability, oxidative stability, and degradation. We employ hybrid quantum-classical algorithms -- the Variational Quantum Eigensolver (VQE) for ground stat...
Learning Minimal Representations of Many-Body Physics from Snapshots of a Quantum Simulator
Frederik Møller, Gabriel Fernández-Fernández, Thomas Schweigler +3 more·Sep 17, 2025
Analog quantum simulators provide access to many-body dynamics beyond the reach of classical computation. However, extracting physical insights from experimental data is often hindered by measurement noise, limited observables, and incomplete knowled...
Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
Zheng-an Wang, Yanbo J. Wang, Jiachi Zhang +11 more·Sep 17, 2025
Quantum Machine Learning (QML) offers a new paradigm for addressing complex financial problems intractable for classical methods. This work specifically tackles the challenge of few-shot credit risk assessment, a critical issue in inclusive finance w...
Loss-tolerant detection of squeezed states in the 2 um region
K. M. Kwan, T. G. McRae, J. Qin +9 more·Sep 17, 2025
Squeezed states of light enable quantum-enhanced measurements but are limited by optical loss, particularly at 2 um where photodiode efficiency is low. We report the first loss-tolerant, audio-band squeezed light detection at 1984 nm by using a phase...
How Can Quantum Deep Learning Improve Large Language Models?
Emily Jimin Roh, Hyojun Ahn, Samuel Yen-Chi Chen +2 more·Sep 17, 2025
The rapid progress of large language models (LLMs) has transformed natural language processing, yet the challenge of efficient adaptation remains unresolved. Full fine-tuning achieves strong performance but imposes prohibitive computational and memor...
Anomalous Trajectory Drift and Geometric Phases of Cyclic Spinor Solitons Induced by Virtual Magnetic Monopoles
Ruo-Yun Wu, Ning Mao, Xiao-Lin Li +2 more·Sep 17, 2025
We investigate the dynamics of a two-component Bose-Einstein condensate with spin-orbit coupling numerically and analytically. Under the drive of a weak segmented rotational external field, we observe that the system exhibits cyclic soliton motion; h...
Observation of topological Phenomena in a Weyl Exceptional Ring with Single Photons
Zhong-Sheng Chen, Wei-Xin Chen, Fan Wu +5 more·Sep 17, 2025
Compared with Hermitian theory, non-Hermitian physics offers a fundamentally different mathematical framework, enabling the observation of topological phenomena that have no analogue in Hermitian systems. Among these, the exceptional point (EP) ring ...
Learning quantum many-body data locally: A provably scalable framework
Koki Chinzei, Quoc Hoan Tran, Norifumi Matsumoto +2 more·Sep 17, 2025
Machine learning (ML) holds great promise for extracting insights from complex quantum many-body data obtained in quantum experiments. This approach can efficiently solve certain quantum problems that are classically intractable, suggesting potential...
Rare Event Simulation of Quantum Error-Correcting Circuits
Carolyn Mayer, Anand Ganti, Uzoma Onunkwo +3 more·Sep 17, 2025
We describe a practical approach for accessing the logical failure rates of quantum error-correcting (QEC) circuits under low physical (component) failure rate regimes. Standard Monte Carlo is often the de facto approach for studying the failure rate...
Quantum keystroke logging
En-Jui Chang·Sep 17, 2025
Superdense coding has long been regarded as a secure quantum communication protocol. It is natural to assume that employing logical quantum states with error-correcting capability would not compromise this security. However, in the context of GKP-bas...
Broadband femtosecond lasers enable efficient two-photon excitation of the ultranarrow linewidth singlet 1s2s state in helium
Shashank Kumar, Justin D. Piel, Chris H. Greene +1 more·Sep 17, 2025
We propose a broadband, femtosecond two-photon excitation scheme for efficient population transfer to the ultra-narrow linewidth $1s2s\ ^1S_0$ metastable state in helium. Using $120$ nm vacuum ultraviolet (VUV) femtosecond laser pulses, we theoretica...
Machine Learning for Quantum Noise Reduction
Karan Kendre·Sep 17, 2025
Quantum noise fundamentally limits the utility of near-term quantum devices, making error mitigation essential for practical quantum computation. While traditional quantum error correction codes require substantial qubit overhead and complex syndrome...
QLook:Quantum-Driven Viewport Prediction for Virtual Reality
Niusha Sabri Kadijani, Yoga Suhas Kuruba Manjunath, Xiaodan Bi +1 more·Sep 16, 2025
We propose QLook, a quantum-driven predictive framework to improve viewport prediction accuracy in immersive virtual reality (VR) environments. The framework utilizes quantum neural networks (QNNs) to model the user movement data, which has multiple ...
End-to-End Complexity Analysis for Quantum Simulation of the Extended Jaynes-Cummings Models
Nam Nguyen, Michael Yu, Alan Robertson +3 more·Sep 16, 2025
The extended Jaynes-Cummings model (eJCM) is a foundational framework for describing multi-mode light-matter interactions, with direct applications in quantum technologies such as photon addition and quasi-noiseless amplification. However, the model'...
Evaluating the Limits of QAOA Parameter Transfer at High-Rounds on Sparse Ising Models With Geometrically Local Cubic Terms
Elijah Pelofske, Marek Rams, Andreas Bärtschi +4 more·Sep 16, 2025
The emergent practical applicability of the Quantum Approximate Optimization Algorithm (QAOA) for approximate combinatorial optimization is a subject of considerable interest. One of the primary limitations of QAOA is the task of finding a set of goo...
Quantum speed limit for the OTOC from an open systems perspective
Devjyoti Tripathy, Juzar Thingna, Sebastian Deffner·Sep 16, 2025
Scrambling, the delocalization of initially localized quantum information, is commonly characterized by the out-of-time ordered correlator (OTOC). Employing the OTOC-Renyi-2 entropy theorem we derive a quantum speed limit for the OTOC, which sets an ...
Quantum Dial for High-Harmonic Generation
Lu Wang, Andrew M. Parks, Adam Thorpe +3 more·Sep 16, 2025
High-harmonic generation (HHG) is a highly nonlinear optical process that typically requires an intense laser to trigger emissions at integer multiples of the driving field frequency. However, the strong fields required for conventional HHG inevitabl...
Effective delocalization in the one-dimensional Anderson model with stealthy disorder
Carlo Vanoni, Jonas Karcher, Mikael C. Rechtsman +3 more·Sep 16, 2025
We study analytically and numerically the Anderson model in one dimension with "stealthy" disorder, defined as having a power spectrum that vanishes in a continuous band of wave numbers. Motivated by recent studies on the optical transparency propert...
The original Wigner's-Friend scenarios
Jay Lawrence·Sep 16, 2025
We describe the Wigner's-Friend scenario according to Wigner, then a similar but earlier version according to Everett. Wigner and Everett provide different resolutions of essentially the same paradox. Decoherence theory provides a third resolution. D...
Detector-based measurement-induced state updates in AdS/CFT
Vijay Balasubramanian, Esko Keski-Vakkuri, Nicola Pranzini·Sep 16, 2025
Conventional understandings of quantum theory hold that measurements change the state of an observed system following the Lüders update rule. Textbooks describe the application of this idea to non-relativistic systems, but extensions to relativistic ...