Farhi, Edward

For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances

Brandao, F. G. S. L., Broughton, M., Farhi, E., Gutmann, S., & Neven, H. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 88

HOW TO MAKE THE QUANTUM ADIABATIC ALGORITHM FAIL

FARHI, E., GOLDSTONE, J., GUTMANN, S., & NAGAJ, D. (2008) · International Journal of Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 81