Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Dissipation as a Resource: Synchronization, Coherence Recovery, and Chaos Control
Debabrata Mondal, Lea F. Santos, S. Sinha·Feb 18, 2026
Dissipation is commonly regarded as an obstacle to quantum control, as it induces decoherence and irreversibility. Here we demonstrate that dissipation can instead be exploited as a resource to reshape the dynamics of interacting quantum systems. Usi...
Quantum Circuits as a Dynamical Resource to Learn Nonequilibrium Long-Range Order
Fabian Ballar Trigueros, Markus Heyl·Feb 18, 2026
Equilibrium statistical ensembles impose stringent constraints on phases of quantum matter. For example, the Mermin-Wagner theorem prohibits long-range order in low-dimensional systems beyond the ground state. Here, we show that quantum circuits can ...
Entanglement negativity in decohered topological states
Kang-Le Cai, Meng Cheng·Feb 18, 2026
We investigate universal entanglement signatures of mixed-state phases obtained by decohering pure-state topological order (TO), focusing on topological corrections to logarithmic entanglement negativity and mutual information: topological entangleme...
Illustration of Barren Plateaus in Quantum Computing
Gerhard Stenzel, Tobias Rohe, Michael Kölle +3 more·Feb 18, 2026
Variational Quantum Circuits (VQCs) have emerged as a promising paradigm for quantum machine learning in the NISQ era. While parameter sharing in VQCs can reduce the parameter space dimensionality and potentially mitigate the barren plateau phenomeno...
Quantum Estimation Theory Limits in Neutrino Oscillation Experiments
Claudia Frugiuele, Marco G. Genoni, Michela Ignoti +1 more·Feb 18, 2026
Measurements of the Pontecorvo-Maki-Nakagawa-Sakata (PMNS) neutrino mixing parameters have entered a precision era, enabling increasingly stringent tests of neutrino oscillations. Within the framework of quantum estimation theory, we investigate whet...
Contractivity of time-dependent driven-dissipative systems
Lasse H. Wolff, Daniel Malz, Rahul Trivedi·Feb 17, 2026
In a number of physically relevant contexts, a quantum system interacting with a decohering environment is simultaneously subjected to time-dependent controls and its dynamics is thus described by a time-dependent Lindblad master equation. Of particu...
Strong-to-Weak Symmetry Breaking in Open Quantum Systems: From Discrete Particles to Continuum Hydrodynamics
Jacob Hauser, Kaixiang Su, Hyunsoo Ha +6 more·Feb 17, 2026
We explore the onset of spontaneous strong-to-weak symmetry breaking (SW-SSB) under U(1)-symmetric (i.e., charge-conserving) open-system dynamics. We define this phenomenon for quantum states and classical probability distributions, and explore it in...
QwaveMPS: An efficient open-source Python package for simulating non-Markovian waveguide-QED using matrix product states
Sofia Arranz Regidor, Matthew Kozma, Stephen Hughes·Feb 17, 2026
QwaveMPS is an open-source Python library for simulating one-dimensional quantum many-body waveguide systems using matrix product states (MPS). It provides a user-friendly interface for constructing, evolving, and analyzing quantum states and operato...
Generating quantum entanglement from sunlight
Cheng Li, Jasvinder Brar, Michael Küblböck +3 more·Feb 17, 2026
Energy consumption is becoming a serious bottleneck for integrating quantum technologies within the existing global information infrastructure. In photonic architectures, considerable energy overheads stem from using lasers, whose high coherence was ...
Quantum Reservoir Computing for Statistical Classification in a Superconducting Quantum Circuit
J. J. Prieto-Garcia, A. G. del Pozo-Martín, M. Pino·Feb 17, 2026
We analyze numerically the performance of Quantum Reservoir Computing (QRC) for statistical and financial problems. We use a reservoir composed of two superconducting islands coupled via their charge degrees of freedom. The key non-linear elements th...
Navigating Hype, Interdisciplinary Collaboration, and Industry Partnerships in Quantum Information Science and Technology: Perspectives from Leading Quantum Educators
Liam Doyle, Fargol Seifollahi, Chandralekha Singh·Feb 16, 2026
The rapid advancement of quantum information science and technology (QIST) has generated significant attention from people in academia, industry, and the public. Recent advances in QIST have led to both opportunities and challenges for students and r...
Do we have a quantum computer? Expert perspectives on current status and future prospects
Liam Doyle, Fargol Seifollahi, Chandralekha Singh·Feb 16, 2026
The rapid growth of quantum information science and technology (QIST) in the 21st century has created both excitement and uncertainty about the field's trajectory. This qualitative study presents perspectives from leading quantum researchers, who are...
GKP-inspired high-dimensional superdense coding with energy-time entanglement
Kai-Chi Chang, Arjun Mirani, Murat Can Sarihan +4 more·Feb 16, 2026
Superdense coding, the application of entanglement to boost classical communication capacity, is a cornerstone of quantum communication. In this paper, we propose a high-dimensional superdense coding protocol using energy-time entangled states. These...
Spectral signatures of nonstabilizerness and criticality in infinite matrix product states
Andrew Hallam, Ryan Smith, Zlatko Papić·Feb 16, 2026
While nonstabilizerness (''magic'') is a key resource for universal quantum computation, its behavior in many-body quantum systems, especially near criticality, remains poorly understood. We develop a spectral transfer-matrix framework for the stabil...
Gravitational Decoherence Estimation in Optomechanical Systems
Leonardo A. M. Souza, Olimpio P. de Sá Neto, Enrico Russo +2 more·Feb 16, 2026
We develop a comprehensive quantum estimation framework to quantify how precisely gravitationally induced decoherence can be inferred in optomechanical systems, using single-mode Gaussian probe states. Our approach combines a microscopic description ...
Localization Tensor Revisited: Geometric-Probabilistic Foundations and a Structure-Factor Criterion under Periodic Boundaries
Zhe-Hao Zhang, Xiaoming Cai, Yi-Cong Yu·Feb 16, 2026
We revisit the localization tensor (LT) from geometric and probabilistic perspectives and construct extensions that are naturally compatible with periodic boundary conditions (PBC), without redefining the position operator. In open boundary condition...
Multi-level spectral navigation with geometric diabatic-adiabatic control
Christian Ventura-Meinersen, Edmondo Valvo, Stefano Bosco +1 more·Feb 16, 2026
We introduce a geometric framework for efficient few-parameter pulse optimization in multi-level quantum systems, enabling high-fidelity state transfer beyond the adiabatic limit. Our method interpolates smoothly between adiabatic and diabatic dynami...
The Signal Horizon: Local Blindness and the Contraction of Pauli-Weight Spectra in Noisy Quantum Encodings
Ait Haddou Marwan·Feb 16, 2026
The performance of quantum classifiers is typically analyzed through global state distinguishability or the trainability of variational models. This study investigates how much class information remains accessible under locality-constrained measureme...
Projections with Respect to Bures Distance and Fidelity: Closed-Forms and Applications
A. Afham, Marco Tomamichel·Feb 16, 2026
We derive simple and unified closed-form expressions for projections with respect to fidelity (equivalently, the Bures and purified distances) onto several sets of interest. These include projections of bipartite positive semidefinite (PSD) matrices ...
Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset
Luke Antoncich, Yuben Moodley, Ugo Varetto +5 more·Feb 16, 2026
Biomarker-based prediction of clinical outcomes is challenging due to nonlinear relationships, correlated features, and the limited size of many medical datasets. Classical machine-learning methods can struggle under these conditions, motivating the ...