Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum-elevated Chiral Discrimination for Bio-molecules
Yiquan Yang, Xiaolong Hu, Wei Du +4 more·Nov 5, 2025
Chiral discrimination of enantiomeric biomolecules is vital in chemistry, biology, and medicine. Conventional methods, relying on circularly polarized light, face weak chiroptical signals and potential photodamage. Despite extensive efforts to improv...
Exploring Topologies in Quantum Annealing: A Hardware-Aware Perspective
Mario Bifulco, Luca Roversi·Nov 5, 2025
Quantum Annealing (QA) offers a promising framework for solving NP-hard optimization problems, but its effectiveness is constrained by the topology of the underlying quantum hardware. Solving an optimization problem $P$ via QA involves a hardware-awa...
Isolated quantum-state networks in ultracold molecules
Tom R. Hepworth, Simon L. Cornish, Philip D. Gregory·Nov 5, 2025
Precise control over rotational angular momentum is at the heart of recent advances in quantum chemistry, quantum simulation, and quantum computation with ultracold bialkali molecules. Each rotational state comprises a rich manifold of hyperfine stat...
Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
Aakash Ravindra Shinde, Jukka K. Nurminen·Nov 5, 2025
Data dimensionality reduction techniques are often utilized in the implementation of Quantum Machine Learning models to address two significant issues: the constraints of NISQ quantum devices, which are characterized by noise and a limited number of ...
Thermodynamic Probes of Multipartite Entanglement in Strongly Interacting Quantum Systems
Harsh Sharma, Sampriti Saha, A. S. Majumdar +2 more·Nov 5, 2025
Quantifying multipartite entanglement in quantum many-body systems and hybrid quantum computing architectures is a fundamental yet challenging task. In recent years, thermodynamic quantities such as the maximum extractable work from an isolated syste...
Quantum Error Correction-like Noise Mitigation for Wave-like Dark Matter Searches with Quantum Sensors
Hajime Fukuda, Takeo Moroi, Thanaporn Sichanugrist·Nov 5, 2025
We propose a quantum error correction-like noise mitigation protocol for enhancing the sensitivity of wave-like dark matter searches with quantum sensors. Our protocol uses multiple sensors to mitigate the noise affecting each sensor individually, al...
Exploring the mechanisms of transverse relaxation of copper(II)-phthalocyanine spin qubits
Boning Li, Yifan Quan, Xufan Li +4 more·Nov 5, 2025
Molecular spin qubits are promising candidates for quantum technologies, but their performance is limited by decoherence arising from diverse mechanisms. The complexity of the environment makes it challenging to identify the main source of noise and ...
Heralded Induced-Coherence Interferometry in a Noisy Environment
L. Theerthagiri, Balakrishnan Viswanathan, C. M. Chandrashekar·Nov 5, 2025
Induced-coherence interferometry, first introduced in the Zou-Wang-Mandel (ZWM) setup, enables retrieval of object information from the interference pattern of light that never interacted with the object. This scheme relies on two identically correla...
QAGT-MLP: An Attention-Based Graph Transformer for Small and Large-Scale Quantum Error Mitigation
S. M. A. Tousi, Guilherme N. DeSouza·Nov 5, 2025
Noisy quantum devices demand error-mitigation techniques to be accurate yet simple and efficient in terms of number of shots and processing time. Many established approaches (e.g., extrapolation and quasi-probability cancellation) impose substantial ...
Quantum Noise-Aware RIS-Aided Wireless Networks Using Variational Encoding and Signal Stabilization
Shakil Ahmed·Nov 5, 2025
This paper introduces a noise-aware, quantum-assisted blockage prediction framework for RIS-enabled wireless networks, integrating a QBS, QRIS, and QUN. Visual and channel data are hybrid-encoded into quantum states and processed via variational quan...
Analytically Continuing the Randomized Measurement Toolbox
Akash Vijay, Ayush Raj, Jonah Kudler-Flam +3 more·Nov 4, 2025
We develop a framework for extracting non-polynomial analytic functions of density matrices in randomized measurement experiments by a method of analytical continuation. A central advantage of this approach, dubbed stabilized analytic continuation (S...
Revisiting Nishimori multicriticality through the lens of information measures
Zhou-Quan Wan, Xu-Dong Dai, Guo-Yi Zhu·Nov 4, 2025
The quantum error correction threshold is closely related to the Nishimori physics of random statistical models. We extend quantum information measures such as coherent information beyond the Nishimori line and establish them as sharp indicators of p...
Zero-Noise Extrapolation via Cyclic Permutations of Quantum Circuit Layouts
Zahar Sayapin, Daniil Rabinovich, Nikita Korolev +1 more·Nov 4, 2025
Increasing the utility of currently available Noisy Intermediate-Scale Quantum (NISQ) devices requires developing efficient methods to mitigate hardware errors, taking into account the constraints of these devices such as medium number of qubits and ...
Efficient Variational Quantum Algorithms for the Generalized Assignment Problem
Carlo Mastroianni, Francesco Plastina, Jacopo Settino +1 more·Nov 4, 2025
Quantum algorithms offer a compelling new avenue for addressing difficult NP-complete optimization problems, such as the Generalized Assignment Problem (GAP). Given the operational constraints of contemporary Noisy Intermediate-Scale Quantum (NISQ) d...
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Ferhat Ozgur Catak, Jungwon Seo, Umit Cali·Nov 4, 2025
Quantum machine learning (QML) is a promising paradigm for tackling computational problems that challenge classical AI. Yet, the inherent probabilistic behavior of quantum mechanics, device noise in NISQ hardware, and hybrid quantum-classical executi...
Squeezing enhanced nonreciprocal quantum correlations via Barnett effect
E. Kongkui Berinyuy, A. -H. Abdel-Aty, P. Djorwe +2 more·Nov 4, 2025
Cavity optomagnonic platforms offer a promising route for exploring quantum phenomena, particularly quantum correlations, which are vital resources for modern quantum technologies. Here, we propose a theoretical scheme for achieving nonreciprocal qua...
Temporal filtered quantum sensing with the nitrogen-vacancy center in diamond
Florian Boehm, Yan Liu, Chengliang Yue +5 more·Nov 4, 2025
Nitrogen vacancy centers in diamond are among the leading solid state quantum platforms, offering exceptional spatial resolution and sensitivity for applications such as magnetic field sensing, thermometry, and bioimaging. However, in high background...
One-step preparation of 3D Bell and 3D GHZ states with Rydberg atoms
Jiping Wang, Huapeng Liu·Nov 4, 2025
Three-dimensional Bell states and GHZ states serve as representative examples of high-dimensional entangled states. In this paper, we propose a scheme for generating three-dimensional Bell and GHZ entangled states using Rydberg atoms. By leveraging R...
Localized to delocalized spatial quantum correlation evolution in structured bright twin beams
Jerin A Thachil, Chirang R Patel, U. Ashwin +1 more·Nov 4, 2025
Quantum correlations in the spatial domain hold great promise for applications in quantum imaging, quantum cryptography and quantum information processing, owing to the infinite dimensionality of the associated Hilbert space. Here, we present a theor...
Software for Creating Scalable Benchmarks from Quantum Algorithms
Noah Siekierski, Stefan Seritan, Neer Patel +3 more·Nov 3, 2025
Creating scalable, reliable, and well-motivated benchmarks for quantum computers is challenging: straightforward approaches to benchmarking suffer from exponential scaling, are insensitive to important errors, or use poorly-motivated performance metr...