Quantum Support Vector Machine Based on Gradient Descent

Optimizing a polynomial function on a quantum processor

(2021) Keren Li et al.   npj Quantum Information

Quantum Matrix Multiplier

(2021) Hong Li et al.   INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS

An investigation on support vector clustering for big data in quantum paradigm

(2020) Arit Kumar Bishwas et al.   Quantum Information Processing

Quantum-enhanced least-square support vector machine: Simplified quantum algorithm and sparse solutions

(2020) Jie Lin et al.   PHYSICS LETTERS A

A quantum deep convolutional neural network for image recognition

(2020) YaoChong Li et al.   Quantum Science and Technology

Design of a novel quantum neural network

(2020) Xu-Feng Niu et al.   LASER PHYSICS LETTERS

Quantum gradient descent and Newton’s method for constrained polynomial optimization

(2019) Patrick Rebentrost et al.   NEW JOURNAL OF PHYSICS

Quantum convolutional neural networks

(2019) Iris Cong et al.   Nature Physics

Quantum Adder for Superposition States

(2018) Xiaowei Lu et al.   INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS

Image classification based on quantum K-Nearest-Neighbor algorithm

(2018) Yijie Dang et al.   Quantum Information Processing

Quantum Algorithm for K-Nearest Neighbors Classification Based on the Metric of Hamming Distance

(2017) Yue Ruan et al.   INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS

Flexible representation and manipulation of audio signals on quantum computers

(2017) Fei Yan et al.   THEORETICAL COMPUTER SCIENCE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Quantum principal component analysis

(2014) Seth Lloyd et al.   Nature Physics

Quantum Support Vector Machine for Big Data Classification

(2014) Patrick Rebentrost et al.   PHYSICAL REVIEW LETTERS

On the Relationship Between Continuous- and Discrete-Time Quantum Walk

(2009) Andrew M. Childs   COMMUNICATIONS IN MATHEMATICAL PHYSICS