Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Robust quantum computational advantage with programmable 3050-photon Gaussian boson sampling
Hua-Liang Liu, Hao-Ru Su, Si-Qiu Gong +34 more·Aug 12, 2025
The creation of large-scale, high-fidelity quantum computers is not only a fundamental scientific endeavour in itself, but also provides increasingly robust proofs of quantum computational advantage (QCA) in the presence of unavoidable noise and the ...
Collaborative Filtering using Variational Quantum Hopfield Associative Memory
Amir Kermanshahani, Ebrahim Ardeshir-Larijani, Rakesh Saini +1 more·Aug 12, 2025
Quantum computing, with its ability to do exponentially faster computation compared to classical systems, has found novel applications in various fields such as machine learning and recommendation systems. Quantum Machine Learning (QML), which integr...
Pangenome-guided sequence assembly via binary optimisation
Josh Cudby, James Bonfield, Chenxi Zhou +2 more·Aug 11, 2025
De novo genome assembly is challenging in highly repetitive regions; however, reference-guided assemblers often suffer from bias. We propose a framework for pangenome-guided sequence assembly, which can resolve short-read data in complex regions with...
Single-Shot Decoding and Fault-tolerant Gates with Trivariate Tricycle Codes
Abraham Jacob, Campbell McLauchlan, Dan E. Browne·Aug 11, 2025
While quantum low-density parity check (qLDPC) codes are a low-overhead means of quantum information storage, it is valuable for quantum codes to possess fault-tolerant features beyond this resource efficiency. In this work, we introduce trivariate t...
On the relationship between noise squeezing and Rabi oscillations in active quantum dot ensembles
Ori Gabai, Amnon Willinger, Igor Khanonkin +3 more·Aug 11, 2025
Squeezed light is usually generated using passive nonlinear materials. Semiconductor lasers and optical amplifiers (SOAs) also offer nonlinearities but they differ in that they add amplified spontaneous emission (ASE). Squeezing to below the vacuum l...
On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots
F. Hader, J. Vogelbruch, S. Humpohl +5 more·Aug 11, 2025
In gate-defined quantum dot systems, the conductance change of electrostatically coupled sensor dots allows the observation of the quantum dots' charge and spin states. Therefore, the sensor dot must be optimally sensitive to changes in its electrost...
Average Contraction Coefficients of Quantum Channels
Rubén Ibarrondo, Daniel Stilck Francca·Aug 11, 2025
The data-processing inequality ensures quantum channels reduce state distinguishability, with contraction coefficients quantifying optimal bounds. However, these can be overly optimistic and not representative of the usual behavior. We study how nois...
Scheduling of syndrome measurements with a few ancillary qubits
Shintaro Sato, Yasunari Suzuki·Aug 11, 2025
Quantum error-correcting codes are a vital technology for demonstrating reliable quantum computation. They require data qubits for encoding quantum information and ancillary qubits for taking error syndromes necessary for error correction. The need f...
Characterization of syndrome-dependent logical noise in detector regions
Matthew Girling, B. Criger, Cristina Cîrstoiu·Aug 11, 2025
Characterizing how quantum error correction circuits behave under realistic hardware noise is essential for testing the premises that enable scalable fault tolerance. Logical error rates conditioned on syndrome outcomes are needed to enable noise-awa...
Universally Robust Control of Open Quantum Systems
Lixiang Ding, Jingtao Fan, Xingze Qiu·Aug 10, 2025
Mitigating noise-induced decoherence is the central challenge in controlling open quantum systems. While existing robust protocols often require precise noise models, we introduce a universal framework for noise-agnostic quantum control that achieves...
Quantum Estimation with State Symmetry-Induced Optimal Measurements
Jia-Xuan Liu, Hai-Long Shi, Chunfeng Wu +1 more·Aug 10, 2025
A central challenge in quantum metrology is identifying optimal measurements that saturate the quantum Cramer-Rao bound under realistic constraints, e.g., local measurements. We show that symmetries of the probe state provide a general principle for ...
Quantum-Classical Hybrid Computation of Electron Transfer in a Cryptochrome Protein via VQE-PDFT and Multiscale Modeling
Yibo Chen, Zirui Sheng, Weitang Li +4 more·Aug 10, 2025
Accurate calculation of strongly correlated electronic systems requires proper treatment of both static and dynamic correlations, which remains challenging for conventional methods. To address this, we present VQE-PDFT,aquantum-classical hybrid frame...
QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search
Yaswitha Gujju, R. Harang, Chao Li +2 more·Aug 9, 2025
The quest for effective quantum feature maps for data encoding presents significant challenges, particularly due to the flat training landscapes and lengthy training processes associated with parameterised quantum circuits. To address these issues, w...
Quantum Algorithm for Estimating Intrinsic Geometry
Nhat A. Nghiem, Tuan K. Do, Tzu-Chieh Wei +1 more·Aug 8, 2025
High-dimensional datasets typically cluster around lower-dimensional manifolds but are also often marred by severe noise, obscuring the intrinsic geometry essential for downstream learning tasks. We present a quantum algorithm for estimating the intr...
Classical simulation of noisy quantum circuits via locally entanglement-optimal unravelings
Simon Cichy, Paul K. Faehrmann, Lennart Bittel +2 more·Aug 7, 2025
Classical simulations of noisy quantum circuits are instrumental to our understanding of the behavior of real-world quantum systems and the identification of regimes where one expects quantum advantage. In this work, we present a highly parallelizabl...
Minimum-Weight Parity Factor Decoder for Quantum Error Correction
Yue Wu, Binghong Li, Kathleen M. Chang +2 more·Aug 7, 2025
Fast and accurate quantum error correction (QEC) decoding is crucial for scalable fault-tolerant quantum computation. Most-Likely-Error (MLE) decoding, while being near-optimal, is intractable on general quantum Low-Density Parity-Check (qLDPC) codes...
Taming coherent noise with teleportation
Kathleen M. Chang, Qile Su, S. Puri·Aug 7, 2025
Compared to the more widely studied Pauli errors, coherent errors present several new challenges in quantum computing and quantum error correction (QEC). For example, coherent errors may interfere constructively over a long circuit and significantly ...
Modular Quantum Amplitude Estimation: A Scalable and Adaptive Framework
Alok Shukla, P. Vedula·Aug 7, 2025
Quantum Amplitude Estimation (QAE) is a key primitive in quantum computing, but its standard implementation using Quantum Phase Estimation is resource-intensive, requiring a large number of coherent qubits in a single circuit block to achieve high pr...
Efficient Quantum Implementation of Dynamical Mean Field Theory for Correlated Materials
N. Hogan, Efekan Kokcu, Thomas Steckmann +6 more·Aug 7, 2025
The accurate theoretical description of materials with strongly correlated electrons is a formidable challenge in condensed matter physics and computational chemistry. Dynamical Mean Field Theory (DMFT) is a successful approach that predicts behavior...
Material-Driven Optimization of Transmon Qubits for Scalable and Efficient Quantum Architectures
Jonnalagadda Gayatri, S. Veni·Aug 7, 2025
One of the most crucial steps in creating practical quantum computers is designing scalable and efficient superconducting qubits. Coherence times, connections between individual qubits, and reduction of environmental noise are critical factors in the...