Papers
Live trends in quantum computing research, updated daily from arXiv.
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11,045 papers in 12 months (-19% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Resource-Efficient Emulation of Majorana Zero Mode Braiding on a Superconducting Trijunction
Rahul Singh, Weixin Lu, Kaelyn J Ferris +1 more·Mar 4, 2026
Topological superconductivity could host quasiparticles that are key candidates for fault-tolerant quantum computation due to their immunity to noise as they obey non-Abelian exchange statistics. For example, in the case of Majorana Zero Modes (MZM),...
Mitigating many-body quantum crosstalk with tensor-network robust control
Nguyen H. Le, Florian Mintert, Eran Ginossar·Mar 4, 2026
Quantum crosstalk poses a major challenge to scaling up quantum computations as its strength is typically unknown and its effect accumulates exponentially as system size grows. Here, we show that many-body robust control can be utilized to suppress u...
Entanglement-Assisted Codes Outside the Stabilizer Framework
Jaszmine DeFranco, Andrew Nemec·Mar 3, 2026
We show how entanglement-assisted codes can be constructed from arbitrary quantum codes by associating them with quantum codes for erasure channels. If a subset of physical qubits is correctable for an erasure error, then it naturally forms the recei...
Scaling of silicon spin qubits under correlated noise
Juan S. Rojas-Arias, Leon C. Camenzind, Yi-Hsien Wu +8 more·Mar 3, 2026
The path to fault-tolerant quantum computing hinges on hardware that scales while remaining compatible with quantum error correction (QEC). Silicon spin qubits are a leading hardware candidate because they combine industrial fabrication compatibility...
Simulating a quantum sensor: quantum state tomography of NV-spin systems
Alberto López-García, Aikaterini Vasilakou, Javier Cerrillo·Mar 3, 2026
We employ a quantum computer to simulate the effect of spin impurities on nitrogen-vacancy (NV) centers in diamond. As these defects operate as nanoscale quantum sensors, modeling quantum noise is crucial to identify limitations in precision. The ana...
Fingerprint Recognition of Partial Discharge Signals in Deep Learning Enhanced Rydberg Atomic Sensors
Yi-Ming Yin, Qi-Feng Wang, Yu Ma +16 more·Mar 3, 2026
Partial discharge originates from microscopic insulation imperfections in high-voltage apparatus and is widely considered a critical marker of incipient deterioration. Conventional partial discharge detection methods are typically constrained by limi...
Discrete-modulation continuous-variable quantum key distribution with probabilistic amplitude shaping over a linear quantum channel
Emanuele Parente, Michele N. Notarnicola, Stefano Olivares +3 more·Mar 3, 2026
The practical implementation difficulties arising from the Gaussian modulation of the GG02 protocol lead us to investigate the possibilities offered by the combination of probabilistic amplitude shaping technique and quadrature amplitude modulation f...
Identification of quantum generative circuits with parallel quantum neural network
Zheping Wu, Xiaopeng Huang, Hengyue Jia +2 more·Mar 3, 2026
The rapid emergence of quantum technology has raised new challenges in distinguishing various quantum circuits of similar functions. In this work, we propose parallel quantum embedding neural network (ParaQuanNet) for the efficient identification of ...
Neural quantum support vector data description for one-class classification
Changjae Im, Hyeondo Oh, Daniel K. Park·Mar 3, 2026
One-class classification (OCC) is a fundamental problem in machine learning with numerous applications, such as anomaly detection and quality control. With the increasing complexity and dimensionality of modern datasets, there is a growing demand for...
Local decoder for the toric code with a high pseudo-threshold
Louis Paletta·Mar 2, 2026
Local decoders provide a promising approach to real-time quantum error-correction by replacing centralized classical processing, with significant hardware constraints, by a fully distributed architecture based on a simple, local update rule. We propo...
Levitated Ferromagnetic Torsional Oscillators for High-Precision Magnetometry and Probing Exotic Interactions
Ren Yichong, Wu Lielie, Broer Wijnand +3 more·Mar 2, 2026
Levitated ferromagnetic systems are expected to have significant potential in precision magnetic field sensing by leveraging mechanical isolation to minimize mechanical contact and associated noise. Here, we report the implementation of a high-sensit...
High-Performance Quantum Frequency Conversion from Ultraviolet to Telecom Band
Yi Yang, Bin Wang, Ji-Chao Lin +10 more·Mar 2, 2026
Quantum frequency conversion (QFC) is essential for bridging the spectral gap between stationary qubits and low-loss optical communication channels. In this work, we demonstrate a short-wavelength-pumping QFC with the first-order quasi-phase matching...
No More Hooks in the Surface Code: Distance-Preserving Syndrome Extraction for Arbitrary Layouts at Minimum Depth
Yuga Hirai, Shota Ikari, Yosuke Ueno +1 more·Mar 2, 2026
Hook errors are a major challenge in implementing logical operations with the surface code, because they can reduce the fault distance below the code distance. This motivates syndrome-extraction circuits that suppress hook-error effects for the stabi...
Efficient Learning Algorithms for Noisy Quantum State and Process Tomography
Chenyang Li, Shengxin Zhuang, Yukun Zhang +4 more·Mar 2, 2026
Efficiently characterizing large quantum states and processes is a central yet notoriously challenging task in quantum information science, as conventional tomography methods typically require resources that grow exponentially with system size. Here,...
Remote state preparation of single-partite high-dimensional states in complex Hilbert spaces
Jun-Hai Zhao, Si-Qi Du, Wen-Qiang Liu +2 more·Mar 1, 2026
High-dimensional quantum systems offer a new playground for quantum information applications due to their remarkable advantages such as higher capacity and noise resistance. We propose potentially practical schemes for remotely preparing four- and ei...
Multipartite parity bounds and total correlation
James Tian·Mar 1, 2026
This paper studies multipartite observables formed from sums of local self-adjoint contractions on tensor product Hilbert spaces. The square of such a sum has a parity structure: after decomposing each local product into commutator and anticommutator...
ReloQate: Transient Drift Detection and In-Situ Recalibration in Surface Code Quantum Error Correction
Maxwell Poster, Jason Chadwick, Jonathan Mark Baker·Feb 28, 2026
Quantum error correction (QEC) promises to exponentially suppress qubit noise, but typically assumes spatially-uniform and temporally-constant noise rates. However, real quantum hardware exhibits variation in noise levels over time, which will be amp...
Closing the Loop: Resource-aware Hybrid NAS Guided by Analytical and Hardware-Calibrated Quantum Cost Modeling
Muhammad Kashif, Alberto Marchisio, Muhammad Shafique·Feb 28, 2026
Hybrid quantum-classical neural networks (HQNNs) integrate quantum circuits with classical layers, each operating under fundamentally different computational paradigms, which makes hardware resource estimation challenging. The training of quantum cir...
Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. Riofrío·Feb 27, 2026
Quantum generative modeling is a rapidly evolving discipline at the intersection of quantum computing and machine learning. Contemporary quantum machine learning is generally limited to toy examples or heavily restricted datasets with few elements. T...
Stairway Codes: Floquetifying Bivariate Bicycle Codes and Beyond
Shoham Jacoby, Alex Retzker, Fernando Pastawski·Feb 27, 2026
Floquet codes define fault-tolerant protocols through periodic measurement sequences that drive a dynamically evolving stabilizer group. They provide a natural framework for hardware supporting two-qubit parity measurements but no unitary entangling ...