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Further Reading: Chapter 32 — Quantum Hype vs. Quantum Reality

  1. Preskill, J. (2018). "Quantum Computing in the NISQ Era and Beyond." Quantum, 2, 79.
  2. Aaronson, S. (2013). Quantum Computing Since Democritus. Cambridge University Press.
  3. Harrow, A. W., & Montanaro, A. (2017). "Quantum Computational Supremacy." Nature, 549(7671), 203-209.
  4. Biamonte, J., et al. (2017). "Quantum Machine Learning." Nature, 549(7671), 195-202.
  5. Tang, E. (2019). "A Quantum-Inspired Classical Algorithm for Recommendation Systems." STOC 2019.
  6. Arute, F., et al. (2019). "Quantum Supremacy Using a Programmable Superconducting Processor." Nature, 574, 505-510.
  7. Google Quantum AI. (2024). "Quantum Error Correction Below the Surface Code Threshold." Nature, 638, 920-926.
  8. Cao, Y., et al. (2019). "Quantum Chemistry in the Age of Quantum Computing." Chemical Reviews, 119(19), 10856-10915.
  9. Brooks, M. (2019). "The Race to Make a Quantum Computer." Nature, 574, 163-165.
  10. Gidney, C., & Ekerå, M. (2021). "How to Factor 2048 Bit RSA Integers in 8 Hours Using 20 Million Noisy Qubits." Quantum, 5, 433.
  11. Bennett, C. H., et al. (1997). "Strengths and Weaknesses of Quantum Computing." SIAM Journal on Computing, 26(5), 1510-1523.
  12. Farhi, E., Goldstone, J., & Gutmann, S. (2014). "A Quantum Approximate Optimization Algorithm." arXiv:1411.4028.
  13. Lee, J., et al. (2021). "Evaluating the Evidence for Exponential Quantum Advantage in Quantum Chemistry." PRX Quantum, 2, 030305.
  14. McClean, J. R., et al. (2016). "The Theory of Variational Hybrid Quantum-Classical Algorithms." New Journal of Physics, 18, 023023.
  15. Aaronson, S. (2015). "Quantum Machine Learning: Bigger Than Blockchain?" Shtetl-Optimized blog post.