quant-ph

Papers

• Controlled quantum search on structured databases (2019)
  Yunkai Wang et al.
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• Exponential-time quantum algorithms for graph coloring problems (2019)
  Kazuya Shimizu and Ryuhei Mori
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• Optimizing Geometry Compression using Quantum Annealing (2020)
  Sebastian Feld et al.
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• Quantum pattern matching Oracle construction (2021)
  Vikram Menon et al.
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• Introducing Structure to Expedite Quantum Search (2021)
  Marcin Bria\'nski et al.
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• Benchmarking 16-element quantum search algorithms on superconducting quantum processors (2021)
  Jan Gwinner et al.
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• Searching via nonlinear quantum walk on the 2D-grid (2020)
  Basile Herzog and Giuseppe Di Molfetta
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• Quantum walk-based search algorithms with multiple marked vertices (2022)
  G. A. Bezerra et al.
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• Dissipative search of an unstructured database (2022)
  Armen E. Allahverdyan and David Petrosyan
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• A Grover search-based algorithm for the list coloring problem (2022)
  Sayan Mukherjee
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• Quantum Motif Clustering (2023)
  Chris Cade et al.
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• Optimality conditions for spatial search with multiple marked vertices (2023)
  Mathieu Roget et al.
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• Quantum version of the k-NN classifier based on a quantum sorting algorithm (2022)
  L.F. Quezada et al.
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• Quantum search in sets with prior knowledge (2022)
  Umut \c{C}al{\i}ky{\i}lmaz et al.
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• From String Detection to Orthogonal Vector Problem (2022)
  Yunhao Wang et al.
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• Noisy Tree Data Structures and Quantum Applications (2023)
  Kamil Khadiev et al.
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• Synthesis of Quantum Vector Databases Based on Grovers Algorithm (2023)
  Cesar Borisovich Pronin et al.
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• Trained quantum neural networks are Gaussian processes (2026)
  Filippo Girardi et al.
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• Deterministic Search on Complete Bipartite Graphs by Continuous Time Quantum Walk (2024)
  Honghong Lin 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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• Multi-Class Quantum Convolutional Neural Networks (2024)
  Marco Mordacci et al.
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• Universal Matrix Multiplication on Quantum Computer (2026)
  Jiaqi Yao et al.
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• Quantum search in a dictionary based on fingerprinting-hashing (2024)
  Farid Ablayev et al.
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• Quantum Algorithms on Edge Lists: Hiding, Shuffling, and Cycle Finding (2026)
  Amin Shiraz Gilani et al.
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• Quantum Search with In-Place Queries (2025)
  Blake Holman et al.
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• Efficient Quantum Approximate $k$NN Algorithm via Granular-Ball Computing (2025)
  Shuyin Xia and Xiaojiang Tian and Suzhen Yuan and Jeremiah D. Deng
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• Conjectured Bounds for 2-Local Hamiltonians via Token Graphs (2026)
  Anuj Apte et al.
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• Singularity-free dynamical invariants-based quantum control (2026)
  Ritik Sareen et al.
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• Quantum Algorithm for Searching for the Longest Segment and the Largest Empty Rectangle (2025)
  Kamil Khadiev and Vladislav Remidovskii and Timur Bikmullin and Aliya Khadieva
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• Quantum Data Structure for Range Minimum Query (2026)
  Qisheng Wang and Zhean Xu and Zhicheng Zhang
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• Quantum Sketches, Hashing, and Approximate Nearest Neighbors (2026)
  Sajjad Hashemian
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• Quantum-Inspired Robust and Scalable SAR Object Classification (2026)
  Maximilian Scharf et al.
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• Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning (2026)
  Gino Kwun et al.
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• Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks (2026)
  Guilherme Cruz et al.
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• Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling (2026)
  Rui Wang et al.
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• Ancilla-Efficient QSAMPLE Preparation for Reversible Markov Chains (2026)
  Nicholas Zhao
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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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• Improved Dual Attack and Trapdoor Sampling via Quantum Rejection Sampling (2026)
  Cong Ling 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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• Quadratic Sums-of-Powers for Fixed-Parameter Tractable Quantum-Circuit Simulation (2026)
  Alexis de Colnet et al.
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• Elfs, transducers and quantum walks (2026)
  Simon Apers et al.
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