Patrick Rebentrost

37 papers A* 1Journal 35Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning.
Quantum Mach. Intell.
Debbie Lim, João F. Doriguello, Patrick Rebentrost
2025 J jnl
Accelerating Inference for Multilayer Neural Networks with Quantum Computers.
CoRR
Arthur G. Rattew, Po-Wei Huang, Naixu Guo, Lirandë Pira, Patrick Rebentrost
2025 J jnl
Artificial intelligence for representing and characterizing quantum systems.
CoRR
Yuxuan Du, Yan Zhu, Yuan-Hang Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Weibo Gao, Ya-Dong Wu, Jens Eisert, Giulio Chiribella, Dacheng Tao, Barry C. Sanders
2025 J jnl
Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks.
CoRR
Mathew Vanherreweghe, Lirandë Pira, Patrick Rebentrost
2025 J jnl
Efficient Identification of Permutation Symmetries in Many-Body Hamiltonians via Graph Theory.
CoRR
Saumya Shah, Patrick Rebentrost
2025 J jnl
Low-depth Amplitude Estimation without Really Trying.
ACM Trans. Quantum Comput.
Dinh-Long Vu, Bin Cheng, Patrick Rebentrost
2025 J jnl
Online Learning of Pure States is as Hard as Mixed States.
CoRR
Maxime Meyer, Soumik Adhikary, Naixu Guo, Patrick Rebentrost
2025 J jnl
Quantum Algorithms for the Pathwise Lasso.
Quantum
João F. Doriguello, Debbie Lim, Chi Seng Pun, Patrick Rebentrost, Tushar Vaidya
2025 J jnl
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers.
CoRR
Yuxuan Du, Xinbiao Wang, Naixu Guo, Zhan Yu, Yang Qian, Kaining Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Dacheng Tao
2024 J jnl
A quantum online portfolio optimization algorithm.
Quantum Inf. Process.
Debbie Lim, Patrick Rebentrost
2024 J jnl
Concept learning of parameterized quantum models from limited measurements.
CoRR
Beng Yee Gan, Po-Wei Huang, Elies Gil-Fuster, Patrick Rebentrost
2024 J jnl
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU.
CoRR
Wei Zi, Siyi Wang, Hyunji Kim, Xiaoming Sun, Anupam Chattopadhyay, Patrick Rebentrost
2024 J jnl
Low depth amplitude estimation without really trying.
CoRR
Dinh-Long Vu, Bin Cheng, Patrick Rebentrost
2024 J jnl
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent.
CoRR
Debbie Lim, Yixian Qiu, Patrick Rebentrost, Qisheng Wang
2024 J jnl
Quantum Computational Finance: Quantum Algorithm for Portfolio Optimization.
Künstliche Intell.
Patrick Rebentrost, Seth Lloyd
2024 A* conf
Quantum algorithm for large-scale market equilibrium computation.
NeurIPS
Po-Wei Huang, Patrick Rebentrost
2024 J jnl
Quantum algorithm for large-scale market equilibrium computation.
CoRR
Po-Wei Huang, Patrick Rebentrost
2024 J jnl
Quantum linear algebra is all you need for Transformer architectures.
CoRR
Naixu Guo, Zhan Yu, Aman Agrawal, Patrick Rebentrost
2023 J jnl
Hybrid quantum-classical and quantum-inspired classical algorithms for solving banded circulant linear systems.
CoRR
Po-Wei Huang, Xiufan Li, Kelvin Koor, Patrick Rebentrost
2023 J jnl
Learning Restricted Boltzmann Machines with greedy quantum search.
CoRR
Liming Zhao, Aman Agrawal, Patrick Rebentrost
2023 J jnl
Post-variational quantum neural networks.
CoRR
Po-Wei Huang, Patrick Rebentrost
2023 J jnl
Provable learning of quantum states with graphical models.
CoRR
Liming Zhao, Naixu Guo, Ming-xing Luo, Patrick Rebentrost
2023 J jnl
Quantum Algorithms for the Pathwise Lasso.
CoRR
João F. Doriguello, Debbie Lim, Chi Seng Pun, Patrick Rebentrost, Tushar Vaidya
2023 J jnl
Quantum Alphatron: quantum advantage for learning with kernels and noise.
Quantum
Siyi Yang, Naixu Guo, Miklos Santha, Patrick Rebentrost
2022 — conf
Quantum Algorithm for Stochastic Optimal Stopping Problems with Applications in Finance.
TQC
João F. Doriguello, Alessandro Luongo, Jinge Bao, Patrick Rebentrost, Miklos Santha
2021 J jnl
Compiling basic linear algebra subroutines for quantum computers.
Quantum Mach. Intell.
Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons
2021 J jnl
Quantum algorithm for structure learning of Markov Random Fields.
CoRR
Liming Zhao, Siyi Yang, Patrick Rebentrost
2021 J jnl
Smooth input preparation for quantum and quantum-inspired machine learning.
Quantum Mach. Intell.
Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons
2020 J jnl
Robust quantum minimum finding with an application to hypothesis selection.
CoRR
Yihui Quek, Clément L. Canonne, Patrick Rebentrost
2019 J jnl
Batched quantum state exponentiation and quantum Hebbian learning.
Quantum Mach. Intell.
Thomas R. Bromley, Patrick Rebentrost
2019 J jnl
Bayesian deep learning on a quantum computer.
Quantum Mach. Intell.
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
2019 J jnl
Near-term quantum algorithms for linear systems of equations.
CoRR
Hsin-Yuan Huang, Kishor Bharti, Patrick Rebentrost
2019 J jnl
Quantum and Classical Algorithms for Approximate Submodular Function Minimization.
CoRR
Yassine Hamoudi, Patrick Rebentrost, Ansis Rosmanis, Miklos Santha
2019 J jnl
Quantum and classical algorithms for approximate submodular function minimization.
Quantum Inf. Comput.
Yassine Hamoudi, Patrick Rebentrost, Ansis Rosmanis, Miklos Santha
2018 J jnl
Bayesian Deep Learning on a Quantum Computer.
CoRR
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
2017 J jnl
Quantum machine learning.
Nat.
Jacob D. Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd
2013 J jnl
Quantum support vector machine for big feature and big data classification.
CoRR
Patrick Rebentrost, Masoud Mohseni, Seth Lloyd