Quantum Computing Algorithms and Architecture

Quantum Computing Algorithms and Architecture is a research topic within Artificial Intelligence. Science Explorer counts 36k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers represents a wide range of advancements in quantum computing and simulation, covering topics such as fault-tolerant quantum computation, quantum machine learning, adiabatic quantum computation, quantum error correction, and topological quantum memory. The research also delves into quantum algorithms, variational quantum algorithms, and quantum simulation of various systems.

• Quantum Computation
• Quantum Information
• Quantum Algorithms
• Fault-tolerant Quantum Computation
• Quantum Machine Learning
• Quantum Simulation
• Variational Quantum Algorithms
• Adiabatic Quantum Computation
• Quantum Error Correction
• Topological Quantum Memory