quant-ph

Papers

• Qiskit QuantumKatas: Adapting Microsoft's Quantum Computing exercises for LLM evaluation (2026)
  Juan Cruz-Benito et al.
  3.10
• Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition (2021)
  Chao-Han Huck Yang et al.
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• Quanta in sound, the sound of quanta: a voice-informed quantum theoretical perspective on sound (2022)
  Maria Mannone and Davide Rocchesso
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• QAC: Quantum-computing Aided Composition (2022)
  Omar Costa Hamido
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• Superconducting qubits as musical synthesizers for live performance (2022)
  Spencer Topel et al.
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• QuiKo: A Quantum Beat Generation Application (2022)
  Scott Oshiro
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• QSpeech: Low-Qubit Quantum Speech Application Toolkit (2022)
  Zhenhou Hong et al.
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• Teaching Qubits to Sing: Mission Impossible? (2022)
  Eduardo Reck Miranda and Brian N. Siegelwax
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• A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition (2023)
  Chao-Han Huck Yang et al.
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• Quantum Representations of Sound: from mechanical waves to quantum circuits (2023)
  Paulo V. Itaborai et al.
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• Quid Manumit -- Freeing the Qubit for Art (2023)
  Mark Carney
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• Variational Quantum Harmonizer: Generating Chord Progressions and Other Sonification Methods with the VQE Algorithm (2024)
  Paulo Vitor Itabora\'i et al.
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• Creating a Synthesizer from Schr\"odinger's Equation (2024)
  Arthur Freye et al.
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• Trained quantum neural networks are Gaussian processes (2026)
  Filippo Girardi et al.
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• Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries (2026)
  Mohsen Heidari et al.
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• Intro to Quantum Harmony: Chords in Superposition (2024)
  Christopher Dobrian et al.
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• Universal Matrix Multiplication on Quantum Computer (2026)
  Jiaqi Yao et al.
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• Consensus-based Distributed Quantum Kernel Learning for Speech Recognition (2024)
  Kuan-Cheng Chen et al.
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• Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection (2024)
  Chu-Hsuan Abraham Lin et al.
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• Techniques for Quantum-Computing-Aided Algorithmic Composition: Experiments in Rhythm, Timbre, Harmony, and Space (2025)
  Christopher Dobrian et al.
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• From Qubits to Rhythm: Exploring Quantum Random Walks in Rhythmspaces (2025)
  Mar\'ia Aguado-Y\'a\~nez et al.
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• Singularity-free dynamical invariants-based quantum control (2026)
  Ritik Sareen et al.
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• Processing through encoding: Quantum circuit approaches for point-wise multiplication and convolution (2026)
  Andreas Papageorgiou et al.
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• Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State (2026)
  Nicholas Gao et al.
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• Mediative Fuzzy Logic: From Type-1 Foundations to Type-2, Type-3 and Quantum Extensions (2026)
  Oscar Montiel Ross
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• Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning (2026)
  Gino Kwun et al.
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• Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling (2026)
  Rui Wang et al.
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• Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model (2026)
  Wang Rui et al.
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• Spacetime Formation under Requirements: Contextual Realization and Form-Dependent Probability (2026)
  Song-Ju Kim
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• A Matched Spectral Benchmark of Quantum Inspired Feature Maps (2026)
  Toheeb Ogunade et al.
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• Fermi-Dirac machines as quantizations of neurons (2026)
  Alexander He et al.
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• QML-PipeGuard: Drift-Aware Behavioral Fingerprinting for Quantum Machine Learning Pipeline Integrity (2026)
  Esra Yeniaras
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• A general tensor-structured compression scheme for efficient large language models (2026)
  Ying Lu et al.
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• Adaptive Reinforcement Learning for Robust Open Quantum System Control: A Multi-Task Framework with Temporal Optimization (2026)
  Haftu W. Fentaw et al.
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• Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations (2026)
  Chanyoung Kim et al.
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• Zero-shot Quantum Neural Architecture Search (2026)
  Tung Dao et al.
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• Can Quantum Federated Learning Withstand Circuit-Level Backdoors? (2026)
  Aakar Mathur et al.
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• Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation (2026)
  Wenjing Xiao et al.
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• Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study (2026)
  Sudip Vhaduri et al.
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• Quantum principal component analysis without eigenvector recovery (2026)
  Yewei Yuan et al.
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• Learning Logical Operations for Arbitrary Quantum Error Correction Codes (2026)
  Nico Meyer et al.
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• Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States (2026)
  Quoc Hoan Tran et al.
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