Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Reinforcement Learning for Enhanced Advanced QEC Architecture Decoding
Yidong Zhou, Lingyi Kong, Yifeng Peng +1 more·Jan 27, 2026
The advent of promising quantum error correction (QEC) codes with efficient resource utilization and high-performance fault-tolerant quantum memories signifies a critical step towards realizing practical quantum computation. While surface codes have ...
Pareto-Front Engineering of Dynamical Sweet Spots in Superconducting Qubits
Zhen Yang, Shan Jin, Yajie Hao +4 more·Jan 27, 2026
Operating superconducting qubits at dynamical sweet spots (DSSs) suppresses decoherence from low-frequency flux noise. A key open question is how long coherence can be extended under this strategy and what fundamental limits constrain it. Here we int...
Time-series based quantum state discrimination
Samuel Jung, Neel Vora, Akel Hashim +2 more·Jan 27, 2026
Accurate quantum state readout is crucial for error correction and algorithms, but measurement errors are detrimental. Readout fidelity is typically limited by a poor signal-to-noise ratio (SNR) and energy relaxation ($T_1$ decay), a significant prob...
When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control
Nima Leclerc, Chris Miller, Nicholas Brawand·Jan 26, 2026
Quantum hardware suffers from intrinsic device heterogeneity and environmental drift, forcing practitioners to choose between suboptimal non-adaptive controllers or costly per-device recalibration. We derive a scaling law lower bound for meta-learnin...
Approximate level-by-level maximum-likelihood decoding based on the Chase algorithm for high-rate concatenated stabilizer codes
Takeshi Kakizaki·Jan 26, 2026
Fault-tolerant quantum computation (FTQC) is expected to address a wide range of computational problems. To realize large-scale FTQC, it is essential to encode logical qubits using quantum error-correcting codes. High-rate concatenated codes have rec...
Error-mitigation aware benchmarking strategy for quantum optimization problems
Marine Demarty, Bo Yang, Kenza Hammam +1 more·Jan 26, 2026
Assessing whether a noisy quantum device can potentially exhibit quantum advantage is essential for selecting practical quantum utility tasks that are not efficiently verifiable by classical means. For optimization, a prominent candidate for quantum ...
Bayesian Optimization for Quantum Error-Correcting Code Discovery
Yihua Chengyu, Richard Meister, Conor Carty +2 more·Jan 26, 2026
Quantum error-correcting codes protect fragile quantum information by encoding it redundantly, but identifying codes that perform well in practice with minimal overhead remains difficult due to the combinatorial search space and the high cost of logi...
Physics-Informed Hybrid Quantum-Classical Dispatching for Large-Scale Renewable Power Systems:A Noise-Resilient Framework
Fu Zhang, Yuming Zhao·Jan 26, 2026
The integration of high-penetration renewable energy introduces significant stochasticity and non-convexity into power system dispatching, challenging the computational limits of classical optimization. While Variational Quantum Algorithms (VQAs) on ...
A Theory of Single-Antenna Atomic Beamforming
Mingyao Cui, Qunsong Zeng, Kaibin Huang·Jan 26, 2026
Leveraging the quantum advantages of highly excited atoms, Rydberg atomic receivers (RAREs) represent a paradigm shift in radio wave detection, offering high sensitivity and broadband reception. However, existing studies largely model RAREs as isotro...
Human Cardiac Measurements with Diamond Magnetometers
Muhib Omar, Magnus Benke, Shaowen Zhang +27 more·Jan 26, 2026
We demonstrate direct, non-invasive and non-contact detection of human cardiac magnetic signals using quantum sensors based on nitrogen-vacancy (NV) centers in diamond. Three configurations were employed recording magnetocardiography (MCG) signals in...
Quantum Error Correction on Error-mitigated Physical Qubits
Minjun Jeon, Zhenyu Cai·Jan 26, 2026
We present a general framework for applying linear quantum error mitigation (QEM) techniques directly to physical qubits within a logical qubit to suppress logical errors. By exploiting the linearity of quantum error correction (QEC), we demonstrate ...
An Adaptive Purification Controller for Quantum Networks: Dynamic Protocol Selection and Multipartite Distillation
Pranav Kulkarni, Leo Sünkel, Michael Kölle·Jan 26, 2026
Efficient entanglement distribution is a cornerstone of the Quantum Internet. However, physical link parameters such as photon loss, memory coherence time, and gate error rates fluctuate dynamically, rendering static purification strategies suboptima...
Scaling of multicopy constructive interference of Gaussian states
Matthieu Arnhem, Radim Filip·Jan 26, 2026
Quantum technology advances crucially depend on the scaling up of essential quantum resources. Their ideal multiplexing offers more significant gains in applications; however, the scaling of the nonidentical, fragile and varying resources is neither ...
Quantum Simulation of the Polaron-Molecule Transition on a NISQ Device
Hugo Catala, Ezequiel Valero, German Rodrigo·Jan 26, 2026
The simulation of strongly correlated fermionic systems remains one of the most significant challenges in computational physics due to the exponential growth of the Hilbert space and the fermionic sign problem. In this work, we present a digital quan...
Resource-Efficient Noise Spectroscopy for Generic Quantum Dephasing Environments
Yuan-De Jin, Zheng-Fei Ye, Wen-Long Ma·Jan 26, 2026
We present a resource-efficient method based on repetitive weak measurements to directly measure the noise spectrum of a generic quantum environment that causes qubit phase decoherence. The weak measurement is induced by a Ramsey interferometry measu...
Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach
Francis Boabang, Samuel Asante Gyamerah·Jan 26, 2026
Variational Quantum Algorithms are a vital part of quantum computing. It is a blend of quantum and classical methods for tackling tough problems in machine learning, chemistry, and combinatorial optimization. Yet as these algorithms scale up, they ca...
Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision
Mohamed Afane, Quanjiang Long, Haoting Shen +4 more·Jan 26, 2026
Current quantum neural networks suffer from extreme sensitivity to both adversarial perturbations and hardware noise, creating a significant barrier to real-world deployment. Existing robustness techniques typically sacrifice clean accuracy or requir...
Simple, Efficient, and Generic Post-Selection Decoding for qLDPC codes
Haipeng Xie, Nobuyuki Yoshioka, Kento Tsubouchi +1 more·Jan 25, 2026
Quantum error correction is indispensable for scalable quantum computation. Although encoding logical qubits substantially enhances noise resilience, achieving logical error rates low enough for practical algorithms remains challenging on existing ha...
Realisation of Protected Cat Qutrit via Engineered Quantum Tunnelling
Sangil Kwon, Daisuke Hoshi, Toshiaki Nagase +8 more·Jan 25, 2026
Engineering quantum tunnelling in phase space has emerged as a viable method for creating a protected qubit with biased-noise properties. A promising approach is to combine a Kerr nonlinearity with multi-photon transitions, resulting in a system know...
Holstein Primakoff spin codes for local and collective noise
Sivaprasad Omanakuttan, Tyler Thurtell, Andrew K. Forbes +2 more·Jan 24, 2026
Quantum error correction is essential for fault-tolerant quantum computation, yet most existing codes rely on local control and stabilizer measurements that are difficult to implement in systems dominated by collective interactions. Inspired by spin-...