Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Diagonal Isometric Form for Tensor Product States in Two Dimensions
Benjamin Sappler, Masataka Kawano, Michael P Zaletel +1 more·Jul 10, 2025
Isometric tensor product states (isoTPS) generalize the isometric form of the one-dimensional matrix product states (MPS) to tensor networks in two and higher dimensions. Here, we introduce an alternative isometric form for isoTPS by incorporating au...
A dynamic circuit for the honeycomb Floquet code
Jahan Claes·Jul 10, 2025
In the typical implementation of a quantum error-correcting code, each stabilizer is measured by entangling one or more ancilla qubits with the data qubits and measuring the ancilla qubits to deduce the value of the stabilizer. Recently, the dynamic ...
Testing time order and Leggett-Garg inequalities with noninvasive measurements on public quantum computers
Tomasz Rybotycki, Tomasz Białecki, Josep Batle +4 more·Jul 10, 2025
We demonstrate the first violation of the Leggett-Garg inequality and time-order noninvariance on public quantum computers using genuine noninvasive measurements. By gathering sufficiently large statistics, we have been able to violate Leggett-Garg i...
A Neural-Guided Variational Quantum Algorithm for Efficient Sign Structure Learning in Hybrid Architectures
Mengzhen Ren, Yu-Cheng Chen, Yangsen Ye +3 more·Jul 10, 2025
Variational quantum algorithms hold great promise for unlocking the power of near-term quantum processors, yet high measurement costs, barren plateaus, and challenging optimization landscapes frequently hinder them. Here, we introduce sVQNHE, a neura...
Conditions for Large-Sample Majorization of Pairs of Flat States in Terms of $α$-z Relative Entropies
Frits Verhagen, Marco Tomamichel, Erkka Haapasalo·Jul 10, 2025
We offer the first operational interpretation of the $α$-z relative entropies, a measure of distinguishability between two quantum states introduced by Jakšić et al. and Audenaert and Datta. We show that these relative entropies appear when formulati...
Quantum Algorithm for Apprenticeship Learning
Andris Ambainis, Debbie Lim·Jul 10, 2025
Apprenticeship learning is a method commonly used to train artificial intelligence systems to perform tasks that are challenging to specify directly using traditional methods. Based on the work of Abbeel and Ng (ICML'04), we present a quantum algorit...
Photonic quantum information with time-bins: Principles and applications
Ashutosh Singh, A. Sethia, Leili Esmaeilifar +4 more·Jul 10, 2025
Long-range quantum communication, distributed quantum computing, and sensing applications require robust and reliable ways to encode transmitted quantum information. In this context, time-bin encoding has emerged as a promising candidate due to its r...
Topological network analysis using a programmable photonic quantum processor
Shang Yu, Jinzhao Sun, Zhenghao Li +11 more·Jul 10, 2025
Understanding topological features in networks is crucial for unravelling complex phenomena across fields such as neuroscience, condensed matter, and high-energy physics. However, identifying higher-order topological structures -- such as $k$-cliques...
Methods for Reducing Ancilla-Overhead in Block Encodings
Francisca Vasconcelos, Andr'as Gily'en·Jul 10, 2025
Block encodings are a fundamental primitive in quantum algorithms, but can often have large ancilla overhead. In this work, we introduce novel techniques for reducing this overhead in two distinct ways. In Part I, we prove the existence of a"space-ti...
Quantum and Hybrid Machine‐Learning Models for Materials‐Science Tasks
Leyang Wang, Yilun Gong, Zongrui Pei·Jul 10, 2025
Quantum computing has become increasingly practical in solving real‐world problems due to advances in hardware and algorithms. In this paper, we aim to design, apply, and evaluate quantum machine learning and hybrid quantum‐classical models in a few ...
Evaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices
Jesus Lopez, Viviana Cadena, Mohammad Saidur Rahman·Jul 10, 2025
The rapid advancement of quantum computing poses a critical threat to classical cryptographic algorithms such as RSA and ECC, particularly in Internet of Things (IoT) devices, where secure communication is essential but often constrained by limited c...
Gate Freezing Method for Gradient-Free Variational Quantum Algorithms in Circuit Optimization
Joona V. Pankkonen, L. Ylinen, M. Raasakka +2 more·Jul 10, 2025
Parameterized quantum circuits (PQCs) are pivotal components of variational quantum algorithms (VQAs), which represent a promising pathway to quantum advantage in noisy intermediate-scale quantum (NISQ) devices. PQCs enable flexible encoding of quant...
Improving Transmon Qubit Performance with Fluorine-based Surface Treatments
Michael Gingras, B. Niedzielski, K. Grossklaus +21 more·Jul 10, 2025
Reducing materials and processing-induced decoherence is critical to the development of utility-scale quantum processors based on superconducting qubits. Here we report on the impact of two fluorine-based wet etches, which we use to treat the silicon...
Correlations and quantum circuits with dynamical causal order
Raphael Mothe, A. Abbott, Cyril Branciard·Jul 10, 2025
Requiring that the causal structure between different parties is well-defined imposes constraints on the correlations they can establish, which define so-called causal correlations. Some of these are known to have a"dynamical"causal order in the sens...
Tangent Space Excitation Ansatz for Quantum Circuits
Ji-Yao Chen, Bo Huang, D. L. Zhou +3 more·Jul 10, 2025
Computing the excitation spectra of quantum many-body systems on noisy quantum devices is a promising avenue to demonstrate the practical utility of current quantum processors, especially as we move toward the ``megaquop''regime. For this task, here ...
Parametrized Quantum Circuit Learning for Quantum Chemical Applications
G. Jones, Viki Kumar Prasad, U. Fekl +1 more·Jul 10, 2025
In the field of quantum machine learning (QML), parametrized quantum circuits (PQCs) -- constructed using a combination of fixed and tunable quantum gates -- provide a promising hybrid framework for tackling complex machine learning problems. Despite...
Robust Lindbladian Estimation for Quantum Dynamics
Yincheng Liu, James Robert Seddon, T. Kohler +2 more·Jul 10, 2025
We revisit the problem of fitting Lindbladian models to the outputs of quantum process tomography. A sequence of prior theoretical works approached the problem by considering whether there exists a Lindbladian generator close to a matrix logarithm of...
Real-Time Dynamics in a (2+1)-D Gauge Theory: The Stringy Nature on a Superconducting Quantum Simulator
Jesús Cobos, Joana Fraxanet, C'esar Benito +7 more·Jul 10, 2025
Understanding the confinement mechanism in gauge theories and the universality of effective string-like descriptions of gauge flux tubes remains a fundamental challenge in modern physics. We probe string modes of motion with dynamical matter in a dig...
Effects of One-particle Reduced Density Matrix Optimization in Variational Quantum Eigensolvers
A. Lima, E. Teixeira, Eivson Darlivam Rodrigues de Aguiar Silva +1 more·Jul 10, 2025
The variational quantum eigensolver (VQE) is a promising method for simulating molecular systems on near-term quantum computers. This approach employs energy estimation; however, other relevant molecular properties can be extracted from the one-parti...
Emergent Harmonics in Josephson Tunnel Junctions Due to Series Inductance
Junghyun Kim, Max Hays, Ilan T. Rosen +11 more·Jul 10, 2025
Josephson tunnel junctions are essential elements of superconducting quantum circuits. The operability of these circuits presumes a $2\pi$-periodic sinusoidal potential of a tunnel junction, but higher-order corrections to this Josephson potential, o...