专题:Quantum Computing Algorithms and Architecture

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.
最新文献
近5年高被引文献
Noisy intermediate-scale quantum algorithms

article Full Text OpenAlex 1731 FWCI167.6496

Suppressing quantum errors by scaling a surface code logical qubit

article Full Text OpenAlex 1091 FWCI136.7918

Logical quantum processor based on reconfigurable atom arrays

article Full Text OpenAlex 1066 FWCI136.0255

Quantum computational advantage with a programmable photonic processor

article Full Text OpenAlex 1047 FWCI107.6024

Evidence for the utility of quantum computing before fault tolerance

article Full Text OpenAlex 1046 FWCI133.5987

The Variational Quantum Eigensolver: A review of methods and best practices

article Full Text OpenAlex 1041 FWCI100.2644

Engineering Non-Linear Decay Dynamics: Pulse-Level Control and Software-Defined Qubit Rescue on Superconducting Processors

preprint Full Text OpenAlex 787 FWCI0

Practical quantum advantage in quantum simulation

article Full Text OpenAlex 706 FWCI70.8706

Challenges and opportunities in quantum machine learning

article Full Text OpenAlex 690 FWCI61.9246

Quantum error correction below the surface code threshold

article Full Text OpenAlex 656 FWCI150.5604