Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
SurgeQ: A Hybrid Framework for Ultra-Fast Quantum Processor Design and Crosstalk-Aware Circuit Execution
Xinxuan Chen, Hongxiang Zhu, Zhaohui Yang +4 more·Jan 8, 2026
Executing quantum circuits on superconducting platforms requires balancing the trade-off between gate errors and crosstalk. To address this, we introduce SurgeQ, a hardware-software co-design strategy consisting of a design phase and an execution pha...
Solving nonlinear PDEs with Quantum Neural Networks: A variational approach to the Bratu Equation
Nikolaos Cheimarios·Jan 7, 2026
We present a variational quantum algorithm (VQA) to solve the nonlinear one-dimensional Bratu equation. By formulating the boundary value problem within a variational framework and encoding the solution in a parameterized quantum neural network (QNN)...
Rare-Event Quantum Sensing using Logical Qubits
Robert Ott, Torsten V. Zache, Soonwon Choi +2 more·Jan 7, 2026
We present a novel protocol to detect rare signals in a noisy environment using quantum error correction (QEC). The key feature of our protocol is the discrimination between signal and noise through distinct higher-order correlations, realized by the...
Below-shot-noise capacity in phase estimation using nonlinear interferometers
Cristofero Oglialoro, Gerard J. Machado, Felix Farsch +7 more·Jan 7, 2026
Over the past decade, several schemes for imaging and sensing based on nonlinear interferometers have been proposed and demonstrated experimentally. These interferometers exhibit two main advantages. First, they enable probing a sample at a chosen wa...
Limitations for adaptive quantum state tomography in the presence of detector noise
Adrian Skasberg Aasen, Martin Gärttner·Jan 7, 2026
Assumption-free reconstruction of quantum states from measurements is essential for benchmarking and certifying quantum devices, but it remains difficult due to the extensive measurement statistics and experimental resources it demands. An approach t...
Investigation of Hardware Architecture Effects on Quantum Algorithm Performance: A Comparative Hardware Study
Askar Oralkhan, Temirlan Zhaxalykov·Jan 7, 2026
Cloud-accessible quantum processors enable direct execution of quantum algorithms on heterogeneous hardware platforms. Unlike classical systems, however, identical quantum circuits may exhibit substantially different behavior across devices due to ar...
Iterative Matrix Product State Simulation for Scalable Grover's Algorithm
Mei Ian Sam, Tzu-Ling Kuo, Tai-Yue Li·Jan 7, 2026
Grover's algorithm is a cornerstone of quantum search algorithm, offering quadratic speedup for unstructured problems. However, limited qubit counts and noise in today's noisy intermediate-scale quantum (NISQ) devices hinder large-scale hardware vali...
Topological Sensing in the Dynamics of Quantum Walks with Defects
Xiaowei Tong, Xingze Qiu, Xiang Zhan +4 more·Jan 7, 2026
Topological quantum sensing leverages unique topological features to suppress noise and improve the precision of parameter estimation, emerging as a promising tool in both fundamental research and practical application. In this Letter, we propose a s...
Strip-Symmetric Quantum Codes for Biased Noise: Z-Decoupling in Stabilizer and Floquet Codes
Mohammad Rowshan·Jan 7, 2026
Bias-tailored codes such as the XZZX surface code and the domain wall color code achieve high dephasing-biased thresholds because, in the infinite-bias limit, their $Z$ syndromes decouple into one-dimensional repetition-like chains; the $X^3Z^3$ Floq...
A Unified Frequency Principle for Quantum and Classical Machine Learning
Rundi Lu, Ruiqi Zhang, Weikang Li +3 more·Jan 6, 2026
Quantum neural networks constitute a key class of near-term quantum learning models, yet their training dynamics remain not fully understood. Here, we present a unified theoretical framework for the frequency principle (F-principle) that characterize...
Further Improving the Decoy State Quantum Key Distribution Protocol with Advantage Distillation
Walter O. Krawec·Jan 5, 2026
In this paper, we revisit the application of classical advantage distillation (CAD) to the decoy-state BB84 protocol. Prior work has shown that CAD can greatly improve maximal distances and noise tolerances of the practical decoy state protocol. Howe...
Compressed Qubit Noise Spectroscopy: Piecewise-Linear Modeling and Rademacher Measurements
Kaixin Huang, Demitry Farfurnik, Dror Baron +1 more·Jan 5, 2026
Random pulse sequences are a powerful method for qubit noise spectroscopy, enabling efficient reconstruction of sparse noise spectra. Here, we advance this method in two complementary directions. First, we extend the method using a regularizer based ...
Probing Dark Matter-Electron Interactions with Superconducting Qubits
Yonit Hochberg, Majed Khalaf, Noah Kurinsky +2 more·Jan 5, 2026
Quantum device measurements are powerful tools to probe dark matter interactions. Among these, transmon qubits stand out for their ability to suppress external noise while remaining highly sensitive to tiny energy deposits. Ambient galactic halo dark...
Developments in superconducting erasure qubits for hardware-efficient quantum error correction
Maria Violaris, Luciana Henaut, James Wills +3 more·Jan 5, 2026
Quantum computers are inherently noisy, and a crucial challenge for achieving large-scale, fault-tolerant quantum computing is to implement quantum error correction. A promising direction that has made rapid recent progress is to design hardware that...
Flux-noise-resilient transmon qubit via a doubly-connected gradiometric design
J. B. Fu, Da-Wei Wang, B. Ren +12 more·Jan 5, 2026
Frequency-tunable superconducting transmon qubits are a cornerstone of scalable quantum processors, yet their performance is often degraded by sensitivity to low-frequency flux noise. Here we present a doubly-connected gradiometric transmon (the ``8-...
Parallel Quantum Gates via Scalable Subsystem-Optimized Robust Control
Xiaodong Yang, Ran Liu, Jun Li·Jan 5, 2026
Accurate and efficient implementation of parallel quantum gates is crucial for scalable quantum information processing. However, the unavoidable crosstalk between qubits in current noisy processors impedes the achievement of high gate fidelities and ...
Continuous Unitary Designs for Universally Robust Quantum Control
Xiaodong Yang, Jiaqing Leng, Jun Li·Jan 5, 2026
Unitary designs are unitary ensembles that emulate Haar-random unitary statistics. They provide a vital tool for studying quantum randomness and have found broad applications in quantum technologies. However, existing research has focused on discrete...
Experimental realization of quantum Zeno dynamics for robust quantum metrology
Ran Liu, Xiaodong Yang, Xiang Lv +5 more·Jan 5, 2026
Quantum Zeno dynamics (QZD), which restricts the system's evolution to a protected subspace, provides a promising approach for protecting quantum information from noise. Here, we explore a practical approach to harnessing QZD for robust quantum metro...
Self-Supervised Learning with Noisy Dataset for Rydberg Microwave Sensors Denoising
Zongkai Liu, Qiming Ren, Wenguang Yang +11 more·Jan 5, 2026
We report a self-supervised deep learning framework for Rydberg sensors that enables single-shot noise suppression matching the accuracy of multi-measurement averaging. The framework eliminates the need for clean reference signals (hardly required in...
Global Parametric Gates for Multi-qubit Entanglement
Jize Yang, Lin Guo, Haonan Xiong +8 more·Jan 5, 2026
We propose and experimentally demonstrate a global parametric gate that generates multi-qubit entangled states in a single step. By applying a parametric drive to a common qubit at precise detunings relative to computational qubits, we directly produ...