Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum circuit complexity and unsupervised machine learning of topological order
Yanming Che, Clemens Gneiting, Xiaoguang Wang +1 more·Aug 6, 2025
Inspired by the close relationship between Kolmogorov complexity and unsupervised machine learning, we explore quantum circuit complexity, an important concept in quantum computation and quantum information science, as a pivot to understand and to bu...
Quantum Advantage in Identifying the Parity of Permutations with Certainty
Arnau Diebra, Santiago Llorens, David González-Lociga +4 more·Aug 6, 2025
We establish a sharp quantum advantage in determining the parity (even/odd) of an unknown permutation applied to any number $n \ge 3$ of particles. Classically, this is impossible with fewer than $n$ labels, being that the success is limited to rando...
Probabilistic quantum algorithm for Lyapunov equations and matrix inversion
Marcello Benedetti, Ansis Rosmanis, Matthias Rosenkranz·Aug 6, 2025
We present a probabilistic quantum algorithm for preparing mixed states which, in expectation, are proportional to the solutions of Lyapunov equations -- linear matrix equations ubiquitous in the analysis of classical and quantum dynamical systems. B...
Noisy Quantum Simulation Using Tracking, Uncomputation and Sampling
Siddharth Dangwal, T. Oberoi, Ajay Sailopal +2 more·Aug 6, 2025
Quantum computers have grown in size and qubit quality in recent years, enabling the execution of complex quantum circuits. However, for most researchers, access to compute time on quantum hardware is limited. This necessitates the need to build simu...
Universal Configuration for Optimizing Complexity in Variational Distributed Quantum Circuits
J. Montes, F. Borondo, G. Carlo·Aug 6, 2025
Distributed quantum computing represents at present one of the most promising approaches to scaling quantum processors. Current implementations typically partition circuits into multiple cores, each composed of several qubits, with inter-core connect...
Simulation and Benchmarking of Real Quantum Hardware
T. Piskor, M. Schondorf, M. Bauer +5 more·Aug 6, 2025
The effects of noise are one of the most important factors to consider when it comes to quantum computing in the noisy intermediate-scale quantum computing (NISQ) era that we are currently in. Therefore, it is important not only to gain more knowledg...
Thermalization with partial information
P. Faist, Sumeet Khatri·Aug 6, 2025
A many-body system, whether in contact with a large environment or evolving under complex dynamics, can typically be modeled as occupying the thermal state singled out by Jaynes'maximum entropy principle. Here, we find analogous fundamental principle...
A simpler Gaussian state-preparation
Parker Kuklinski, Benjamin Rempfer, K. Obenland +1 more·Aug 6, 2025
The ability to efficiently state-prepare Gaussian distributions is critical to the success of numerous quantum algorithms. The most popular algorithm for this subroutine (Kitaev-Webb) has favorable polynomial resource scaling, however it faces enormo...
Graph theory-based automated quantum algorithm for efficient querying of acyclic and multiloop causal configurations
S. Ochoa-Oregon, J. P. Uribe-Ram'irez, R. J. Hern'andez-Pinto +2 more·Aug 6, 2025
Quantum algorithms provide a promising framework in high-energy physics, in particular, for unraveling the causal configurations of multiloop Feynman diagrams by identifying Feynman propagators with qubits, a challenge analogous to querying directed ...
Efficient classical computation of the neural tangent kernel of quantum neural networks
A. M. Hernandez, Davide Pastorello, Giacomo De Palma·Aug 6, 2025
We propose an efficient classical algorithm to estimate the Neural Tangent Kernel (NTK) associated with a broad class of quantum neural networks. These networks consist of arbitrary unitary operators belonging to the Clifford group interleaved with p...
Maximum channel entropy principle and microcanonical channels
P. Faist, Sumeet Khatri·Aug 6, 2025
The thermal state plays a number of significant roles throughout physics, information theory, quantum computing, and machine learning. It arises from Jaynes'maximum-entropy principle as the maximally entropic state subject to linear constraints, and ...
Hybrid Quantum-Classical Machine Learning Potential with Variational Quantum Circuits
S. Y. Willow, David ChangMo Yang, Chang Woo·Aug 6, 2025
Quantum algorithms for simulating large and complex molecular systems are still in their infancy, and surpassing state-of-the-art classical techniques remains an ever-receding goal post. A promising avenue of inquiry in the meanwhile is to seek pract...
Electrical Control of Quantum Dots in GaAs-on-Insulator Waveguides for Coherent Single-Photon Generation.
Hanna Salamon, Ying Wang, Arnulf Snedker-Nielsen +6 more·Aug 6, 2025
The integration of coherent quantum emitters with silicon photonic platforms is essential for scalable quantum technologies. We demonstrate electrically controlled self-assembled quantum dots embedded in GaAs waveguides bonded onto a SiO2/Si substrat...
Quantum Temporal Fusion Transformer
Krishnakanta Barik, Goutam Paul·Aug 6, 2025
The \textit{Temporal Fusion Transformer} (TFT), proposed by Lim \textit{et al.}, published in \textit{International Journal of Forecasting} (2021), is a state-of-the-art attention-based deep neural network architecture specifically designed for multi...
Density of States (Gate) - Controlled Andreev Molecule and Sensor
Xiaofan Shi, Z. Dou, Guoan Li +19 more·Aug 6, 2025
Topological quantum computing typically relies on topological Andreev bound states (ABSs) engineered in hybrid superconductor-semiconductor devices, where gate control offers key advantages. While strong Zeeman fields can induce such states, an alter...
Power and Limitations of Linear Programming Decoder for Quantum LDPC Codes
Shouzhen Gu, Mehdi Soleimanifar·Aug 6, 2025
Decoding quantum error-correcting codes is a key challenge in enabling fault-tolerant quantum computation. In the classical setting, linear programming (LP) decoders offer provable performance guarantees and can leverage fast practical optimization a...
Challenges in Applying Variational Quantum Algorithms to Dynamic Satellite Network Routing
Phuc Hao Do, Tran Duc Le·Aug 6, 2025
Applying near-term variational quantum algorithms to the problem of dynamic satellite network routing represents a promising direction for quantum computing. In this work, we provide a critical evaluation of two major approaches: static quantum optim...
Advantages of Co-locating Quantum-HPC Platforms: A Survey for Near-Future Industrial Applications
D. Honda, Yuta Nishiyama, Junya Ishikawa +10 more·Aug 6, 2025
We conducted a systematic survey of emerging quantum-HPC platforms, which integrate quantum computers and High-Performance Computing (HPC) systems through co-location. Currently, it remains unclear whether such platforms provide tangible benefits for...
Universal quantum phase classification on quantum computers from machine learning
Weicheng Ye, Shuwei Liu, Shiyu Zhou +1 more·Aug 6, 2025
The classification of quantum phases of matter remains a fundamental challenge in condensed matter physics. We present a novel framework that combines shadow tomography with modern time-series machine learning models to enable efficient and practical...
Excising dead components in the surface code using minimally invasive alterations: A performance study
R. Mishmash, V. Kliuchnikov, J. Bello-Rivas +7 more·Aug 6, 2025
The physical implementation of a large-scale error-corrected quantum processor will necessarily need to mitigate the presence of defective (thereby"dead") physical components in its operation, for example, identified during bring-up of the device or ...