Quantum advantage in learning from experiments

1 December 2021

Michael Broughton

Masoud Mohseni

Hartmut Neven

Jarrod R. McClean

Papers citing "Quantum advantage in learning from experiments"

50 / 135 papers shown

Title
Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal Hemanth Kannamarlapudi Sowmya Chintalapudi 21 0 0 19 Jun 2025
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Srikanth Thudumu Jason Fisher Hung Du 126 0 0 30 May 2025
Quantum computing and artificial intelligence: status and perspectives Giovanni Acampora Andris Ambainis Natalia Ares Leonardo Banchi Pallavi Bhardwaj ... Markus Schmitt Philipp Slusallek Filippo Vicentini Christof Weitenberg Frank K. Wilhelm 71 1 0 29 May 2025
Quantum AIXI: Universal Intelligence via Quantum Information Elija Perrier 83 0 0 27 May 2025
Predictive Performance of Deep Quantum Data Re-uploading Models Xin Wang Han-Xiao Tao Re-Bing Wu 34 0 0 24 May 2025
Quantum Computing and AI: Perspectives on Advanced Automation in Science and Engineering Tadashi Kadowaki AI4CE 117 0 0 15 May 2025
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting Chen-Yu Liu Kuan-Cheng Chen Yi-Chien Chen Samuel Yen-Chi Chen Wei-Hao Huang Wei-Jia Huang Yen-Jui Chang 85 0 0 14 May 2025
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing Kuan-Cheng Chen Chen-Yu Liu Yu Shang Felix Burt Kin K Leung 100 0 0 13 May 2025
Quantum QSAR for drug discovery Alejandro Giraldo Daniel Ruiz Mariano Caruso Guido Bellomo 133 0 0 06 May 2025
Near-Term Pseudorandom and Pseudoresource Quantum States Andrew Tanggara Mile Gu Kishor Bharti 113 1 0 24 Apr 2025
Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers Kuan-Cheng Chen Samuel Yen-Chi Chen Chen-Yu Liu Kin K Leung 103 3 0 18 Mar 2025
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation Tao Liu Rongjie Li Chongyu Wang Xuming He 70 0 0 26 Dec 2024
Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images Daniel Basilewitsch João F. Bravo Christian Tutschku Frederick Struckmeier 54 2 0 28 Nov 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 196 0 0 23 Nov 2024
Lie-Equivariant Quantum Graph Neural Networks Jogi Suda Neto Roy T. Forestano S. Gleyzer K. Kong Konstantin T. Matchev Katia Matcheva 150 0 0 22 Nov 2024
On the sample complexity of purity and inner product estimation Weiyuan Gong Jonas Haferkamp Qi Ye Zhihan Zhang 61 5 0 16 Oct 2024
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference Jing Xiong Jianghan Shen Fanghua Ye Chaofan Tao Zhongwei Wan ... Xun Wu Chuanyang Zheng Zhijiang Guo Lingpeng Kong Ngai Wong 66 5 0 04 Oct 2024
Quantum delegated and federated learning via quantum homomorphic encryption Weikang Li Dong-Ling Deng FedML 57 1 0 28 Sep 2024
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML Siddhant Dutta Pavana P Karanth Pedro Maciel Xavier Iago Leal de Freitas Nouhaila Innan Sadok Ben Yahia Muhammad Shafique David E. Bernal Neira FedML 122 7 0 14 Sep 2024
Consumable Data via Quantum Communication D. Gilboa Siddhartha Jain Jarrod R. McClean 5 0 0 13 Sep 2024
Predicting quantum channels over general product distributions Sitan Chen Jaume de Dios Pont Jun-Ting Hsieh Hsin-Yuan Huang Jane Lange Jerry Li 70 3 0 05 Sep 2024
Using Quantum Solved Deep Boltzmann Machines to Increase the Data Efficiency of RL Agents Daniel Kent Clement O'Rourke Jake Southall Kirsty Duncan Adrian Bedford AI4CE 53 0 0 30 Aug 2024
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting Abdallah Aaraba Soumaya Cherkaoui Ola Ahmad J. Laprade Olivier Nahman-Lévesque Alexis Vieloszynski Shengrui Wang BDL AI4TS 64 1 0 21 Aug 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks Andrea Ceschini Francesco Mauro Francesca De Falco A. Sebastianelli A. Verdone A. Rosato Bertrand Le Saux Massimo Panella Paolo Gamba Silvia Liberata Ullo GNN AI4CE 93 1 0 12 Aug 2024
Distributed Quantum Approximate Optimization Algorithm on Integrated High-Performance Computing and Quantum Computing Systems for Large-Scale Optimization Seongmin Kim Tengfei Luo Eungkyu Lee In-Saeng Suh 71 0 0 29 Jul 2024
A Scalable Quantum Non-local Neural Network for Image Classification Sparsh Gupta Debanjan Konar Vaneet Aggarwal 83 0 0 26 Jul 2024
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches Y. Cordero S. Biswas F. Vilarino M. Bilkis VLM 80 0 0 08 Jul 2024
Exploiting the equivalence between quantum neural networks and perceptrons Chris Mingard Jessica Pointing Charles London Yoonsoo Nam Ard A. Louis 84 3 0 05 Jul 2024
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects Yan Ge Wu Wenjie Chen Yuheng Pan Kaisen Lu Xudong Zhou Zixiang Wang Yuhan Wang Ruocheng Yan Junchi 78 17 0 30 Jun 2024
Comprehensive characterization of three-qubit Grover search algorithm on IBM's 127-qubit superconducting quantum computers M. AbuGhanem 46 5 0 23 Jun 2024
Quantum Compiling with Reinforcement Learning on a Superconducting Processor Z. T. Wang Qiuhao Chen Yuxuan Du Z. H. Yang Xiaoxia Cai ... Huikai Xu Yirong Jin Ruixia Wang Haifeng Yu S. P. Zhao 73 3 0 18 Jun 2024
Quantum Vision Transformers for Quark-Gluon Classification Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 87 9 0 16 May 2024
Architectures and random properties of symplectic quantum circuits Diego García-Martín Paolo Braccia M. Cerezo 66 7 0 16 May 2024
Feature Importance and Explainability in Quantum Machine Learning Luke Power Krishnendu Guha FAtt VLM 61 7 0 14 May 2024
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation Maja Franz Tobias Winker Sven Groppe Wolfgang Mauerer 66 8 0 13 May 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 75 2 0 28 Apr 2024
Simple constructions of linear-depth t-designs and pseudorandom unitaries Tony Metger Alexander Poremba Makrand Sinha Henry Yuen 55 26 0 19 Apr 2024
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations Kuan-Cheng Chen Xiaoren Li Xiaotian Xu Yun-Yuan Wang Chen-Yu Liu 249 1 0 09 Mar 2024
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows Hong-Ye Hu Andi Gu Swarnadeep Majumder Hang Ren Yipei Zhang Derek S. Wang Yi-Zhuang You Zlatko K. Minev S. Yelin Alireza Seif 87 25 0 27 Feb 2024
An optimal tradeoff between entanglement and copy complexity for state tomography Sitan Chen Jungshian Li Allen Liu 54 11 0 26 Feb 2024
Pseudorandom unitaries with non-adaptive security Tony Metger Alexander Poremba Makrand Sinha Henry Yuen 65 5 0 22 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 86 1 0 20 Feb 2024
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks Han-Xiao Tao Jiaqi Hu Re-Bing Wu 84 3 0 05 Feb 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance Yunfei Wang Junyu Liu 79 40 0 21 Jan 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 100 18 0 17 Jan 2024
Advantage of Quantum Neural Networks as Quantum Information Decoders Weishun Zhong O. Shtanko R. Movassagh 37 2 0 11 Jan 2024
Cybersecurity in Critical Infrastructures: A Post-Quantum Cryptography Perspective Javier Oliva del Moral Antonio deMarti iOlius Gerard Vidal Pedro M. Crespo Josu Etxezarreta Martinez 101 14 0 08 Jan 2024
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 70 6 0 20 Dec 2023
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 90 45 0 20 Dec 2023
A Survey of Classical And Quantum Sequence Models I-Chi Chen Harshdeep Singh V. L. Anukruti Brian Quanz Kavitha Yogaraj 53 0 0 15 Dec 2023