Representation Learning with Quantum Signal ProcessingRepresentation learning begins when training changes the features that define similarity between data. A frozen-kernel model only reweights a fixed geometry. We establish quantum signal processing…Junqi Wang, Junyu Liu·Aug 28, 2026SaveLearn
Dissipation across the ultrastrong-coupling regime of nanomechanical quantum Rabi systemsMechanical resonators ultrastrongly coupled to quantum two-level systems provide a promising route towards mechanical qubits by introducing significant anharmonicity to the mechanical modes,…Janine C. Franz, Fabio Pistolesi·Aug 28, 2026SaveLearn
BAHAMAS: A Control Plane for Optimization and Execution of Variational Quantum CircuitsVariational quantum algorithms (VQAs) suffer from unstable optimization due to temporal noise drift and static qubit mappings that distort gradient signals across iterations. We present BAHAMAS, an…Amit Samanta, Mohammad Abrarul Hasanat, Jason Ludmir et al.·Aug 28, 2026SaveLearn
Quantum synchronization of spin-1 system: Enhanced synchronization due to additive Lindblad operatorsWe experimentally investigate quantum synchronization for one of the simplest possible quantum systems, namely an externally driven few-level system with equally spaced energy levels effectively…Tran Duong Anh-Tai, S. Zhong, X. Molenda et al.·Aug 28, 2026SaveLearn
How Long-Range Tails Reshape Non-Hermitian SpectraExponentially decaying long-range hoppings are ubiquitous in realistic tight-binding models and are often truncated to obtain a finite-range description. We show that this approximation can fail…Ding Gu, Zhanpeng Fu, Yu-Min Hu et al.·Aug 28, 2026SaveLearn
Quantum Fourier transform toolboxQuantum Fourier transforms (QFTs) are essential primitives in quantum algorithms. While abelian groups admit efficient QFT circuits, with circuit size polynomial in the logarithm of the group order,…Carli Bruinsma, Pietro M. Posta, Joppe Stokvis et al.·Aug 28, 2026SaveLearn
Learning to Decode Concatenated Quantum Codes with Hierarchical Message PassingWe introduce a neural message-passing framework for decoding general concatenated stabilizer codes. Soft beliefs propagate bidirectionally across concatenation levels, and lightweight neural networks…Jiahui Wu, Chao Zhang, Zipeng Wu et al.·Aug 28, 2026SaveLearn
Quantum Fourier transform for the symmetric groupQuantum Fourier transforms (QFT) for general groups were recognized to be fundamental already early in the field. A canonical example of non-abelian QFT for the symmetric group was outlined by Beals…Carli Bruinsma, Dmitry Grinko, Maris Ozols·Aug 28, 2026SaveLearn
Exact quantification of nonlocal magicMagic, or nonstabilizerness, is the resource that lifts Clifford circuits to universal quantum computation and has become a standard diagnostic of many-body states. For a state shared between two…Piotr Sierant·Aug 28, 2026SaveLearn
Hardware-Efficient Error Mitigation and Shot-Efficient Sampling on IBM Quantum HardwareWe experimentally study error mitigation and finite-shot sampling on superconducting quantum hardware under a constrained execution budget. The study combines calibration-aware qubit selection,…Sumit Chongder·Aug 28, 2026SaveLearn
Beyond sensitivity: mechanism-resolved error budgets for designing quantum sensorsQuantum sensors are specified by a headline sensitivity, yet applications also demand accuracy and reliability. The dominant limiter of one metric is often known, but no method resolves how…Nima Leclerc, Marco Capelli, Kevin James Rietwyk et al.·Aug 28, 2026SaveLearn
Sufficient positive maps between von Neumann algebras: Rényi divergencesWe prove recovery theorems for α-z Rényi divergences under normal unital positive maps between von Neumann algebras. Previous results in this setting required 2-positivity, while recent finite…Anna Jenčová, Lauritz van Luijk·Aug 28, 2026SaveLearn
Langevin Theory of Non-Markovian Quantum Dynamics: Application to Delayed Coherent Feedback and the Laser LinewidthPhase-space methods are powerful tools for the treatment of Markovian open quantum systems: they map the reduced dynamics of a system S, in interaction with an environment E, exactly onto Langevin…Marc Cuenca-Laràs, Ming Li, Carlos Navarrete-Benlloch et al.·Aug 28, 2026SaveLearn
Classical Commitment over Quantum Channels with Limited Entanglement AssistanceWe study classical string commitment over quantum channels with limited preshared entanglement. For noninteractive protocols, we determine the commitment capacity of a class of channels with input…Remi A. Chou·Aug 28, 2026SaveLearn
Approaching Resource-Theoretic Optimal Performance with Structured EnvironmentsResource-theoretic approaches to thermodynamics provide powerful, model-independent bounds on the efficiency of physical processes, because they do not rely on microscopic details of the environment.…Lea Lautenbacher, Giovanni Spaventa, Susana F. Huelga et al.·Aug 28, 2026SaveLearn
Input-Output Analysis of Quantum Dot SUPER ExcitationThe Swing-UP of the quantum EmitteR population (SUPER) two-color pulsed excitation scheme allows for robust and close to 100\% excitation of a two-level quantum emitter using only red detuned light.…Johannes Kerber, Christoph Hotter, Helmut Ritsch et al.·Aug 28, 2026SaveLearn
Fabrication-free assessment of microwave losses in germanium-based dielectrics and superconductorsWe present a flip-chip-based sensing scheme to measure effective microwave losses associated with target materials for quantum technologies, without requiring any device fabrication on the material…Haoran Lu, Kushagra Aggarwal, Xiangqin Wang et al.·Aug 28, 2026SaveLearn
Constant-time equilibration of observables under rapid Lindbladian dynamicsMarkovian open-system dynamics have widespread applications throughout quantum information science, including algorithmic state preparation. Their convergence is commonly quantified using the worst…Štěpán Šmíd, Richard Meister, Mario Berta et al.·Aug 28, 2026SaveLearn
From quantum reservoirs to quantum extreme learning machines through a nearest-neighbor spin chain with tunable quantum memoryQuantum Reservoir Computing (QRC) processes temporal data by retaining a memory of past inputs in the recurrent state of a quantum system, whereas a Quantum Extreme-Learning Machine (QELM) discards…Carlos Ramon-Escandell, Arnau Riera, Marcin Płodzień·Aug 28, 2026SaveLearn
Kerr nonlinearity and three-wave mixing in superconducting resonators hosting Al-InAs weak linksNonlinear microwave resonators are a versatile tool in quantum information processing, enabling parametric amplification, continuous variable quantum computing, and engineered mode interactions. Many…Vittorio Buccheri, Ivo P. C. Cools, Nermin Trnjanin et al.·Aug 28, 2026SaveLearn
Optomechanical inertial reference for atom interferometryAtom interferometers are among the most sensitive inertial sensors, yet deployment outside the laboratory is limited by vibration noise, conventionally mitigated by external sensors or bulky…A. Rajagopalan, K. Stolzenberg, D. Thomas et al.·Aug 28, 2026SaveLearn
Energy Internet Routing using Quantum Optimization AlgorithmsThe Energy Internet (EI) is a new concept aimed at enhancing the integration of renewable energy sources with the energy grid. Energy-efficient path selection in EI is NP-hard. This research presents…Alireza Alamgir Tehrani, Mehrdad Boroushaki, Abbas Rajabi·Aug 28, 2026SaveLearn
A Single Spin Switches the Steady-State Phase of an Open Quantum SystemChanging a many-body system by one constituent is normally expected to produce only a vanishing correction to an intensive observable. Here we show that, above a critical dissipation imbalance,…Jianwen Jie·Aug 28, 2026SaveLearn
Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy ClientsQuantum federated learning enables collaborative model training across quantum devices without sharing raw data, and it faces the data and hardware heterogeneity inherent to noisy quantum devices.…Haruki Emori, Masaki Uchihara, Yuuki Tokunaga·Aug 28, 2026SaveLearn
Variationally Optimized Imaginary-time Polynomial Filters for Ground State ProjectionIn this work, we develop a variational imaginary-time evolution (ITE) framework based on polynomial filtering, derived from an operator-level action principle, which yields an optimized non-unitary…Bahman Seifi, Ibsal Assi, J. P. F. LeBlanc·Aug 28, 2026SaveLearn