Search Results for author:
Found 2 papers, 2 papers with code
Efficient and quantum-adaptive machine learning with fermion neural networks
Classical artificial neural networks have witnessed widespread successes in machine-learning applications.
Topological Quantum Compiling with Reinforcement Learning
Quantum compiling, a process that decomposes the quantum algorithm into a series of hardware-compatible commands or elementary gates, is of fundamental importance for quantum computing.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
