Further Reading: Chapter 31 — The Quantum Computing Industry

1. IBM. (2024). "IBM Quantum Roadmap." https://www.ibm.com/quantum/roadmap
2. Arute, F., et al. (2019). "Quantum Supremacy Using a Programmable Superconducting Processor." Nature, 574, 505-510.
3. Google Quantum AI. (2024). "Quantum Error Correction Below the Surface Code Threshold." Nature, 638, 920-926.
4. Pino, J. M., et al. (2021). "Demonstration of the Trapped-Ion Quantum CCD Computer Architecture." Nature, 592, 209-213.
5. Bluvstein, D., et al. (2024). "Logical Quantum Processor Based on Reconfigurable Atom Arrays." Nature, 626, 58-65.
6. Madsen, L. S., et al. (2022). "Quantum Computational Advantage with a Programmable Photonic Processor." Nature, 606, 75-81.
7. Gidney, C., & Ekerå, M. (2021). "How to Factor 2048 Bit RSA Integers in 8 Hours Using 20 Million Noisy Qubits." Quantum, 5, 433.
8. McKinsey & Company. (2024). "Quantum Computing: An Emerging Ecosystem and Industry Use Cases."
9. National Quantum Initiative. (2018). "National Quantum Initiative Act." US Public Law 115-368.
10. Koch, J., et al. (2007). "Charge Insensitive Qubit Design Derived from the Cooper Pair Box." Physical Review A, 76, 042319.
11. Bruzewicz, C. D., et al. (2019). "Trapped-Ion Quantum Computing: Progress and Challenges." Applied Physics Reviews, 6, 021314.
12. Bluvstein, D., et al. (2022). "A Quantum Processor Based on Coherent Transport of Entangled Atom Arrays." Nature, 604, 451-456.
13. Gimeno-Segovia, M., et al. (2019). "From Three-Photon Greenberger-Horne-Zeilinger States to Universal Quantum Computing." Physical Review A, 100, 042303.
14. Leghtas, Z., et al. (2015). "Confining the State of Light to a Quantum Manifold by Engineered Two-Photon Loss." Science, 347, 853-857.
15. Sivak, V. V., et al. (2023). "Real-Time Quantum Error Correction Beyond Break-Even." Nature, 616, 50-55.