Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Universal quantum computation in topological quantum neural networks and amplituhedron representation
Chris Fields, James F. Glazebrook, Antonino Marcianò +1 more·Sep 24, 2025
We study the relationship between computation and scattering both operationally (hence phenomenologically) and formally. We show how topological quantum neural networks (TQNNs) enable universal quantum computation, using the Reshetikhin-Turaev and Tu...
Quantum Computing Beyond Ground State Electronic Structure: A Review of Progress Toward Quantum Chemistry Out of the Ground State
Alan Bidart, Prateek Vaish, Tilas Kabengele +3 more·Sep 24, 2025
Quantum computing offers the promise of revolutionizing quantum chemistry by enabling the solution of chemical problems for substantially less computational cost. While most demonstrations of quantum computation to date have focused on resolving the ...
Holographic Aspects of Dynamical Mean-Field Theory
Kouichi Okunishi, Akihisa Koga·Sep 24, 2025
Dynamical mean-field theory (DMFT) is one of the most standard theoretical frameworks for addressing strongly correlated electron systems. Meanwhile, the concept of holography, developed in the field of quantum gravity, provides an intrinsic relation...
Quantum metrology in the presence of correlated noise via Markovian embedding
Arpan Das, Rafał Demkowicz-Dobrzański·Sep 24, 2025
We analyze quantum metrological protocols, where the sensing system is linearly coupled to a bosonic environment, by performing a Markovian embedding of the problem based on pseudomode formalism. This allows us to effectively model the problem using ...
Efficient block-encodings require structure
Parker Kuklinski, Benjamin Rempfer, Justin Elenewski +1 more·Sep 24, 2025
Block-encodings are ubiquitous in quantum computing as a way to represent data within a unitary operator. While several unstructured methods are applicable to arbitrary data, these techniques are burdened by hidden costs and poor accuracy. In this pa...
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel·Sep 24, 2025
This survey explores the integration of Federated Learning (FL) with Network Intrusion Detection Systems (NIDS), with particular emphasis on deep learning and quantum machine learning approaches. FL enables collaborative model training across distrib...
SMILES-Inspired Transfer Learning for Quantum Operators in Generative Quantum Eigensolver
Zhi Yin, Xiaoran Li, Shengyue Zhang +2 more·Sep 24, 2025
Given the inherent limitations of traditional Variational Quantum Eigensolver(VQE) algorithms, the integration of deep generative models into hybrid quantum-classical frameworks, specifically the Generative Quantum Eigensolver(GQE), represents a prom...
Constrained Higher-Order Binary Optimization for Wireless Communications Systems Using Ising Machines
Gan Zheng, Ioannis Krikidis·Sep 24, 2025
This paper develops an algorithmic solution using Ising machines to solve large-scale higher-order binary optimization (HOBO) problems with inequality constraints for resource optimization in wireless communications systems. Quadratic unconstrained b...
BALANCE: Bitrate-Adaptive Limit-Aware Netcast Content Enhancement Utilizing QUBO and Quantum Annealing
Animesh Rajpurohit, Michael Kelley, Wei Wang +1 more·Sep 23, 2025
In an era of increasing data cap constraints, optimizing video streaming quality while adhering to user-defined data caps remains a significant challenge. This paper introduces Bitrate-Adaptive Limit-Aware Netcast Content Enhancement (BALANCE), a nov...
Propagation of intense squeezed vacuum light in non-linear media
Javier Rivera-Dean, Deeksha Kanti, Philipp Stammer +5 more·Sep 23, 2025
Recent developments in quantum light engineering have enabled the use of infrared bright squeezed vacuum (BSV) femtosecond pulses in highly nonlinear optics, particularly strong field physics and high-harmonic generation. However, theoretical studies...
Exploiting Non-Markovian Memory Effects for Robust Quantum Teleportation
Safae Gaidi, Nour-Eddine Abouelkhir, Abdallah Slaoui +2 more·Sep 23, 2025
The reliable transmission of quantum information remains a central challenge in the presence of environmental noise. In particular, maintaining high teleportation fidelity in open quantum systems is hindered by decoherence, which disrupts quantum coh...
Photon-starved polarimetry via functional classical shadows
Matteo Rosati, Miranda Parisi, Linda Sansoni +3 more·Sep 23, 2025
Polarimetry and optical imaging techniques face challenges in photon-starved scenarios, where the low number of detected photons imposes a trade-off between image resolution, integration time, and sample sensitivity. Here we introduce a quantum-inspi...
Rapid Autotuning of a SiGe Quantum Dot into the Single-Electron Regime with Machine Learning and RF-Reflectometry FPGA-Based Measurements
Marc-Antoine Roux, Joffrey Rivard, Victor Yon +18 more·Sep 23, 2025
Spin qubits need to operate within a very precise voltage space around charge state transitions to achieve high-fidelity gates. However, the stability diagrams that allow the identification of the desired charge states are long to acquire. Moreover, ...
Observables in Motion: A guide to simulating classical and quantum dynamics
Denys I. Bondar, Gerard McCaul, Andrii Sotnikov·Sep 23, 2025
We present a pedagogical work-in-progress. This textbook aims to introduce Hilbert space representations for quantum and classical dynamics, outlining the mathematical foundations, practical guidance, and Python implementation of dynamical simulation...
Comment on 'Collectively enhanced quantum measurements at the Heisenberg limit'
D. Ballester, Yu. V. Arkhipov, I. M. Tkachenko·Sep 23, 2025
In a seminal paper [8] it was shown that Heisenberg-limited measurements could be achieved without using entangled states by coupling the quantum resources to a common environment that could be measured, at least, in part. The authors also claimed th...
InterQnet: A Heterogeneous Full-Stack Approach to Co-designing Scalable Quantum Networks
Joaquin Chung, Daniel Dilley, Ely Eastman +21 more·Sep 23, 2025
Quantum communications have progressed significantly, moving from a theoretical concept to small-scale experiments to recent metropolitan-scale demonstrations. As the technology matures, it is expected to revolutionize quantum computing in much the s...
Steady-state dynamics of quantum frequency combs in microring resonators
Patrick Tritschler, Torsten Ohms, André Zimmermann +1 more·Sep 23, 2025
Optical frequency combs are utilized in a wide range of optical applications, including atomic clocks, interferometers, and various sensing technologies. They are often generated via four-wave mixing in chip-integrated microring resonators, a method ...
Non-local mass superpositions and optical clock interferometry in atomic ensemble quantum networks
Charles Fromonteil, Denis V. Vasilyev, Torsten V. Zache +5 more·Sep 23, 2025
Quantum networks are emerging as powerful platforms for sensing, communication, and fundamental tests of physics. We propose a programmable quantum sensing network based on entangled atomic ensembles, where optical clock qubits emulate mass superposi...
Martingale Projections and Quantum Decoherence
Lane P. Hughston, Levent A. Mengütürk·Sep 23, 2025
We introduce so-called super/sub-martingale projections as a family of endomorphisms defined on unions of Polish spaces. Such projections allow us to identify martingales as collections of transformations that relate path-valued random variables to e...
Separate and efficient characterization of state-preparation and measurement errors using single-qubit operations
Muhammad Qasim Khan, Leigh M. Norris, Lorenza Viola·Sep 23, 2025
In many platforms, errors from state-preparation and measurement (SPAM) dominate single-qubit gate errors. To inform further hardware improvements and the development of more effective SPAM mitigation strategies, it is necessary to separately charact...