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Main Authors:	Lyu, Chufan, Wang, Ximing, Gu, Mile, Elliott, Thomas J., Yang, Chengran
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2603.09567
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Learning Quantum-Samplers for Stochastic Processes with Quantum Sequence Models
by: Wang, Ximing, et al.
Published: (2026)

Dimension reduction in quantum sampling of stochastic processes
by: Yang, Chengran, et al.
Published: (2024)

Quantum Dimension Reduction of Hidden Markov Models
by: Sundar, Rishi, et al.
Published: (2026)

Embedding memory-efficient stochastic simulators as quantum trajectories
by: Elliott, Thomas J., et al.
Published: (2024)

Quantum-inspired identification of complex cellular automata
by: Ho, Matthew, et al.
Published: (2021)

Near-Term Pseudorandom and Pseudoresource Quantum States
by: Tanggara, Andrew, et al.
Published: (2025)

Strategic Code: A Unified Spatio-Temporal Framework for Quantum Error-Correction
by: Tanggara, Andrew, et al.
Published: (2024)

Quantum limits of covert target detection
by: Tham, Guo Yao, et al.
Published: (2023)

Causal classification of spatiotemporal quantum correlations
by: Song, Minjeong, et al.
Published: (2023)

Theory of Quantum Imaginary-Time Mpemba Effect
by: Zeng, Yumeng, et al.
Published: (2026)

How Quantum Agents Can Change Which Strategies Are More Complex
by: Kechrimparis, Spiros, et al.
Published: (2025)

Spatial Incompatibility Witnesses for Quantum Temporal Correlations
by: Liu, Xiangjing, et al.
Published: (2025)

Practical Quantum Broadcasting
by: Wang, Ximing, et al.
Published: (2026)

Energetic advantages for quantum agents in online execution of complex strategies
by: Thompson, Jayne, et al.
Published: (2025)

Variational simulation of $d$-level systems on qubit-based quantum simulators
by: Lyu, Chufan, et al.
Published: (2024)

Distributed Quantum Amplitude Amplification
by: Hua, Ximing, et al.
Published: (2025)

Variational learning of integrated quantum photonic circuits
by: Zhang, Hui, et al.
Published: (2024)

Quantum state-agnostic work extraction (almost) without dissipation
by: Lumbreras, Josep, et al.
Published: (2025)

Symmetries and Dimension Reduction in Quantum Approximate Optimization Algorithm
by: Tsvelikhovskiy, Boris, et al.
Published: (2023)

Multi-Level Variational Spectroscopy using a Programmable Quantum Simulator
by: Han, Zhikun, et al.
Published: (2023)

Simple Construction of Qudit Floquet Codes on a Family of Lattices
by: Tanggara, Andrew, et al.
Published: (2024)

Gaussian Atemporality: When Gaussian Quantum Correlations Imply Common Cause
by: Song, Minjeong, et al.
Published: (2025)

Quantum-optimal information encoding using noisy passive linear optics
by: Tanggara, Andrew, et al.
Published: (2023)

Classically Spoofing System Linear Cross Entropy Score Benchmarking
by: Tanggara, Andrew, et al.
Published: (2024)

QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
by: Chittoor, Hari Hara Suthan, et al.
Published: (2024)

Virtual quantum resource distillation: General framework and applications
by: Takagi, Ryuji, et al.
Published: (2024)

Virtual quantum resource distillation
by: Yuan, Xiao, et al.
Published: (2023)

Ideal stochastic process modeling with post-quantum quasiprobabilistic theories
by: Onggadinata, Kelvin, et al.
Published: (2024)

Low Depth Distributed Quantum Algorithms for Unordered Database Search
by: Huang, Huaijing, et al.
Published: (2026)

Open Source Variational Quantum Eigensolver Extension of the Quantum Learning Machine (QLM) for Quantum Chemistry
by: Haidar, Mohammad, et al.
Published: (2022)

Quantum Recurrent Embedding Neural Network
by: Jing, Mingrui, et al.
Published: (2025)

Quantum Detection of Recurrent Dynamics
by: Freedman, Michael H.
Published: (2024)

Quantum-Enhanced Recurrent Neural Networks via Variational Quantum Gating for Battery State of Health Prediction
by: Xu, Yin, et al.
Published: (2026)

Quantum Turbulence Across Dimensions: Crossover from two- to three-dimension
by: Yang, Weican, et al.
Published: (2025)

Dimensioning of Quantum Memories for Distilled Quantum EPR Packets
by: Valentini, Lorenzo, et al.
Published: (2026)

Variational Quantum Annealing for Quantum Chemistry
by: Yip, Ka-Wa, et al.
Published: (2025)

Variational Quantum Algorithms for Computational Fluid Dynamics
by: Jaksch, Dieter, et al.
Published: (2022)

Quantum Resonant Dimensionality Reduction and Its Application in Quantum Machine Learning
by: Yang, Fan, et al.
Published: (2024)

Photonic-Implemented Efficient Deep Quantum Neural Network via Virtual-Driven Hilbert Space Expansion
by: Ma, Haoran, et al.
Published: (2026)

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