Quantum Machine Learning
248 papers for year 2022
Showing 205-216 of 248
SHARING KEYS USING CIRCULANT MATRICES AND LOGISTIC MAPS THROUGH QUANTUM CHANNAL
A. Salah, B. Benzeghli, L. Noui
Shot-frugal and Robust quantum kernel classifiers
Abhay Shastry, Abhijith Jayakumar, Apoorva Patel, Chiranjib Bhattacharyya
Simulated Bifurcation Algorithm for MIMO Detection
Wen Zhang, Yu-Lin Zheng
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture
Han Zheng, Christopher Kang, Gokul Subramanian Ravi, Hanrui Wang, Kanav Setia, Frederic T. Chong, Junyu Liu
Software for Massively Parallel Quantum Computing
Thien Nguyen, Daanish Arya, Marcus Doherty, Nils Herrmann, Johannes Kuhlmann, Florian Preis, Pat Scott, Simon Yin
Software science view on quantum circuit algorithms
Yuri Gurevich, Andreas Blass
Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning
Chanyoung Park, Jae Pyoung Kim, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim
Some aspects of noise in binary classification with quantum circuits
Yonghoon Lee, Doga Murat Kurkcuoglu, Gabriel Nathan Perdue
Stationary states of a dissipative two-qubit quantum channel and their applications for quantum machine learning
Ghasemian E.
Statistical and machine learning approaches for prediction of long-time excitation energy transfer dynamics
Kimara Naicker, Ilya Sinayskiy, Francesco Petruccione
Stochastic noise can be helpful for variational quantum algorithms
Junyu Liu, Frederik Wilde, Antonio Anna Mele, Xin Jin, Liang Jiang, Jens Eisert
Stochastic Qubit Resource Allocation for Quantum Cloud Computing
Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Jiawen Kang