HamLib: A Library of Hamiltonians for Benchmarking Quantum Algorithms and Hardware.
Nicolas P. D. SawayaDaniel Marti-DafcikYang HoDaniel P. TaborDavid E. Bernal NeiraAlicia B. MagannShavindra P. PremaratnePradeep DubeyAnne Y. MatsuuraNathan BishopWibe A De JongSimon BenjaminOjas D. ParekhNorm M. TubmanKatherine KlymkoDaan CampsPublished in: QCE (2023)
Keyphrases
- orders of magnitude
- low cost
- image processing
- parallel architectures
- highly efficient
- recently developed
- benchmark datasets
- machine learning algorithms
- computationally efficient
- optimization problems
- worst case
- learning algorithm
- computational cost
- computational complexity
- data structure
- machine learning
- computationally expensive
- data mining
- embedded systems
- neural network
- real time