Affiliate disclosure
Book titles on this page link to Amazon. As an Amazon Associate, DataField.Dev earns from qualifying purchases — at no additional cost to you.
Further Reading: Chapter 33 — Capstone: Your Quantum Algorithm Portfolio — Implemented, Executed on Real Hardware, and Analyzed
- Qiskit Textbook: https://learn.qiskit.org
- IBM Quantum Platform: https://quantum-computing.ibm.com
- Preskill, J. (2018). "Quantum Computing in the NISQ era and beyond." Quantum, 2, 79.
- Peruzzo, A., et al. (2014). "A variational eigenvalue solver on a photonic quantum processor." Nature Communications, 5, 4213.
- Farhi, E., Goldstone, J., & Gutmann, S. (2014). "A quantum approximate optimization algorithm." arXiv:1411.4028.
- Kandala, A., et al. (2017). "Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets." Nature, 549, 242–246.
- Temme, K., Bravyi, S., & Gambetta, J. M. (2017). "Error mitigation for short-depth quantum circuits." Physical Review Letters, 119, 180501.
- Farhi, E., & Gutmann, S. (1998). "An analog analogue of a digital quantum algorithm." Physical Review Letters, 80, 3883.
- Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press.
- Cerezo, M., et al. (2021). "Variational quantum algorithms." Nature Reviews Physics, 3, 625–644.