Patrick Rebentrost

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Quantum Computation

Portfolio Optimization

Top Venues

Quantum Mach. Intell.

Publications

Wei Zi, Siyi Wang, Hyunji Kim, Xiaoming Sun, Anupam Chattopadhyay, Patrick Rebentrost
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU. CoRR (2024)
Po-Wei Huang, Patrick Rebentrost
Quantum algorithm for large-scale market equilibrium computation. CoRR (2024)
Naixu Guo, Zhan Yu, Aman Agrawal, Patrick Rebentrost
Quantum linear algebra is all you need for Transformer architectures. CoRR (2024)
Debbie Lim, Patrick Rebentrost
A quantum online portfolio optimization algorithm. Quantum Inf. Process. 23 (3) (2024)
Siyi Yang, Naixu Guo, Miklos Santha, Patrick Rebentrost
Quantum Alphatron: quantum advantage for learning with kernels and noise. Quantum 7 (2023)
Po-Wei Huang, Xiufan Li, Kelvin Koor, Patrick Rebentrost
Hybrid quantum-classical and quantum-inspired classical algorithms for solving banded circulant linear systems. CoRR (2023)
Po-Wei Huang, Patrick Rebentrost
Post-variational quantum neural networks. CoRR (2023)
João F. Doriguello, Debbie Lim, Chi Seng Pun, Patrick Rebentrost, Tushar Vaidya
Quantum Algorithms for the Pathwise Lasso. CoRR (2023)
Liming Zhao, Naixu Guo, Ming-Xing Luo, Patrick Rebentrost
Provable learning of quantum states with graphical models. CoRR (2023)
Liming Zhao, Aman Agrawal, Patrick Rebentrost
Learning Restricted Boltzmann Machines with greedy quantum search. CoRR (2023)
João F. Doriguello, Alessandro Luongo, Jinge Bao, Patrick Rebentrost, Miklos Santha
Quantum Algorithm for Stochastic Optimal Stopping Problems with Applications in Finance. TQC (2022)
Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons
Compiling basic linear algebra subroutines for quantum computers. Quantum Mach. Intell. 3 (2) (2021)
Liming Zhao, Siyi Yang, Patrick Rebentrost
Quantum algorithm for structure learning of Markov Random Fields. CoRR (2021)
Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons
Smooth input preparation for quantum and quantum-inspired machine learning. Quantum Mach. Intell. 3 (1) (2021)
Yihui Quek, Clément L. Canonne, Patrick Rebentrost
Robust quantum minimum finding with an application to hypothesis selection. CoRR (2020)
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
Bayesian deep learning on a quantum computer. Quantum Mach. Intell. 1 (1-2) (2019)
Yassine Hamoudi, Patrick Rebentrost, Ansis Rosmanis, Miklos Santha
Quantum and classical algorithms for approximate submodular function minimization. Quantum Inf. Comput. 19 (15&16) (2019)
Thomas R. Bromley, Patrick Rebentrost
Batched quantum state exponentiation and quantum Hebbian learning. Quantum Mach. Intell. 1 (1-2) (2019)
Yassine Hamoudi, Patrick Rebentrost, Ansis Rosmanis, Miklos Santha
Quantum and Classical Algorithms for Approximate Submodular Function Minimization. CoRR (2019)
Hsin-Yuan Huang, Kishor Bharti, Patrick Rebentrost
Near-term quantum algorithms for linear systems of equations. CoRR (2019)
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
Bayesian Deep Learning on a Quantum Computer. CoRR (2018)
Jacob D. Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd
Quantum machine learning. Nat. 549 (7671) (2017)
Patrick Rebentrost, Masoud Mohseni, Seth Lloyd
Quantum support vector machine for big feature and big data classification. CoRR (2013)