Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Broadband Magnetless Isolation in a Flux-Pumped, Dispersion-Engineered Transmission Line
M. Demarets, A. M. Vadiraj, C. Caloz +1 more·Sep 29, 2025
Isolators are commonly found in the amplification chain of microwave setups to shield sensitive devices such as superconducting qubits from noise and back-scattered signals. Conventional ferrite-based isolators are bulky, lossy and rely on strong mag...
SQuaD: Smart Quantum Detection for Photon Recognition and Dark Count Elimination
Karl C. Linne, Sho Uemura, Yue Ji +5 more·Sep 29, 2025
Quantum detectors of single photons are an essential component for quantum information processing across computing, communication and networking. Today's quantum detection system, which consists of single photon detectors, timing electronics, control...
Magnon squeezing near a quantum critical point in a cavity-magnon-qubit system
Gang Liu, Gen Li, Rong-Can Yang +2 more·Sep 29, 2025
Preparing magnon nonclassical states is a central topic in the study of quantum magnonics. Here we propose to generate magnon squeezed states in a hybrid cavity-magnon-qubit system by engineering an effective Rabi-type magnon-qubit interaction. This ...
Probabilistic Graybox Characterization of Quantum Devices with Bayesian Neural Networks
Poramet Pathumsoot, Michal Hajdušek, Rodney Van Meter·Sep 29, 2025
While the Graybox characterization method allows for implicit noise models and is platform-agnostic, the method lacks uncertainty quantification. Characterization of quantum devices is a crucial process that enables researchers to gain insight from e...
Continuous Wave Quantum Detection and Ranging with quantum heterodyne detection
Ming-Da Huang, Zhan-Feng Jiang, M. Hunza +6 more·Sep 29, 2025
In the continuous-wave Detection and Ranging technology, simultaneous and accurate range and velocity measurements of an unknown target are typically achieved using a frequency-modulated continuous wave (FMCW) with a heterodyne receiver. The high tim...
Quantum Approximate Optimization Algorithm: Performance on Simulators and Quantum Hardware
Abyan Khabir Irfan, Chansu Yu·Sep 29, 2025
Running quantum circuits on quantum computers does not always generate "clean" results, unlike on a simulator, as noise plays a significant role in any quantum device. To explore this, we experimented with the Quantum Approximate Optimization Algorit...
Non-Abelian interference of topological edge states
Shi Hu, Meiqing Hu, Zhoutao Lei·Sep 28, 2025
Topological boundary states exhibit distinctive properties, including unidirectional propagation and noise robustness, which hold significant potential for advancing the performance of quantum science and technology. Here, we demonstrate the implemen...
Evaluating noises of boson sampling with statistical benchmark methods
Yang Ji, Yongjin Ye, Qiao Wang +5 more·Sep 28, 2025
The lack of self-correcting codes hiders the development of boson sampling to be large-scale and robust. Therefore, it is important to know the noise levels in order to cautiously demonstrate the quantum computational advantage or realize certain tas...
Bayesian and geometric analyses of power spectral densities of spin qubits in Si/SiGe quantum dot devices
Yujun Choi, Hruday Mallubhotla, Mark Friesen +2 more·Sep 27, 2025
Charge noise with a power-law spectrum poses a significant challenge to high-fidelity operation of spin qubits in semiconductor devices. Recently, considerable experimental work characterized this noise using qubits as spectrometers. It apparently ar...
Anticoherent $k$-planes and coding techniques for a 3-qubit scheme of universal quantum computing
L. Aragón-Muñoz, C. Chryssomalakos, A. G. Flores-Delgado +2 more·Sep 27, 2025
Toponomic quantum computing (TQC) employs rotation sequences of anticoherent $k$-planes to construct noise-tolerant quantum gates. In this work, we demonstrate the implementation of generalized Toffoli gates, using $k$-planes of spin systems with $s ...
Ultralow-Temperature Cryogenic Transmission Electron Microscopy Using a New Helium Flow Cryostat Stage
Young-Hoon Kim, Fehmi Sami Yasin, Na Yeon Kim +6 more·Sep 26, 2025
Advances in cryogenic electron microscopy have opened new avenues for probing quantum phenomena in correlated materials. This study reports the installation and performance of a new side-entry condenZero cryogenic cooling system for JEOL (Scanning) T...
Decoding quantum low density parity check codes with diffusion
Zejun Liu, Anqi Gong, Bryan K. Clark·Sep 26, 2025
An efficient decoder is essential for quantum error correction, and data-driven neural decoders have emerged as promising, flexible solutions. Here, we introduce a diffusion model framework to infer logical errors from syndrome measurements in quantu...
Bridging Quantum Noise and Classical Electrodynamics with Stochastic Methods
Felix Hitzelhammer, Johannes Stowasser, Lukas Hanschke +7 more·Sep 26, 2025
The development of emerging technologies in quantum optics demands accurate models that faithfully capture genuine quantum effects. Mature semiclassical approaches reach their limits when confronted with quantized electromagnetic fields, while full H...
Hybrid SU(1,1) interferometry in optomechanics
Chao Meng, Emil Zeuthen, Polina R. Sharapova·Sep 26, 2025
In non-degenerate SU(1,1) interferometers, beam splitters are replaced by two-mode squeezers, enabling sub-shot-noise sensitivity without input squeezing and robustness to detection losses by quantum entanglement. We propose a hybrid implementation i...
Supervised Machine Learning for Predicting Open Quantum System Dynamics and Detecting Non-Markovian Memory Effects
Ali Abu-Nada, Subhashish Banerjee·Sep 26, 2025
We present a \emph{novel} and scalable supervised machine learning framework to predict open-quantum system dynamics and detect non-Markovian memory using only local ancilla measurements. A system qubit is coherently coupled to an ancilla via a symme...
Privacy in Distributed Quantum Sensing with Gaussian Quantum Networks
Uesli Alushi, Roberto Di Candia·Sep 26, 2025
We study the privacy properties of distributed quantum sensing protocols in a Gaussian quantum network, where each node encodes a parameter via a local phase shift. For networks with more than two nodes, achieving perfect privacy is possible only asy...
Noise cross-correlations from single-shot measurements
Juan S. Rojas-Arias, Peter Stano, Yi-Hsien Wu +3 more·Sep 26, 2025
We introduce a novel method that we call Single-Shot Cross-Spectroscopy (SSCS), for extracting the auto- and cross-power spectral densities of dephasing noise of a qubit pair. The method uses straightforward input, namely single-shot readouts from si...
The 2T-quoctit: a two-mode bosonic qudit for high energy physics
Doga Murat Kürkçüoglu, Henry Lamm, Oluwadara Ogunkoya +1 more·Sep 26, 2025
In this work, we study a two-mode bosonic encoding of a quoctit inside a non-Abelian group-structured constellation of coherent states. This work is motivated by the importance of nonabelian symmetry in particle physics and the desire to have transve...
Machine Learning for Quantum State Tomography: Robust Covariance Matrix Estimation for Squeezed Vacuum States with Thermal Noise
Juan Camilo Rodrıguez, Hsien-Yi Hsieh, Hua-Li Chen +3 more·Sep 26, 2025
We present a supervised machine learning-based method using convolutional neural networks to estimate the covariance matrix of Gaussian quantum states in the presence of thermal noise. Unlike computationally intensive density matrix reconstructions, ...
Dynamic RIS-Assisted THz Quantum Networks: Joint Optimization of Entanglement Generation and Fidelity under Channel Impairments
Shakil Ahmed·Sep 25, 2025
Quantum networks (QNs) supported by terahertz (THz) wireless links present a transformative alternative to fiber-based infrastructures, particularly in mobile and infrastructure-scarce environments. However, signal attenuation, molecular absorption, ...