Nannicini, Giacomo

Improving Variational Quantum Optimization using CVaR

Barkoutsos, P. K., Nannicini, G., Robert, A., Tavernelli, I., & Woerner, S. (2020) · Quantum

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 263

Challenges and opportunities in quantum optimization

Abbas, A., Ambainis, A., Augustino, B., Bärtschi, A., Buhrman, H., Coffrin, C., Cortiana, G., Dunjko, V., Egger, D. J., Elmegreen, B. G., et al. (2024) · Nature Reviews Physics

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 201

Performance of hybrid quantum-classical variational heuristics for combinatorial optimization

Nannicini, G. (2019) · Physical Review E

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 138

Demonstration of quantum volume 64 on a superconducting quantum computing system

Jurcevic, P., Javadi-Abhari, A., Bishop, L. S., Lauer, I., Bogorin, D. F., Brink, M., Capelluto, L., Günlük, O., Itoko, T., Kanazawa, N., et al. (2021) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 85

Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction Deferral

Pednault, E., Gunnels, J. A., Nannicini, G., Horesh, L., Magerlein, T., Solomonik, E., Draeger, E. W., Holland, E. T., & Wisnieff, R. (2017) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 48

Quantum Optimization Benchmarking Library - The Intractable Decathlon

Koch, T., Neira, D. E. B., Chen, Y., Cortiana, G., Egger, D. J., Heese, R., Hegade, N. N., Cadavid, A. G., Huang, R., Itoko, T., et al. (2025) · arXiv

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 5