The article also mentions the ongoing collaborations of Google Quantum AI with industry and academic partners to explore future applications for error-corrected quantum computers. These applications are particularly relevant in the fields of chemistry, materials science, and energy, where quantum computers could solve problems currently unsolvable for classical computers. The article concludes by showcasing various resources and recent posts from the Quantum AI team.
Key takeaways:
- The mission is to build best-in-class quantum computing with error correction as the fundamental requirement.
- XPRIZE Quantum Applications | Google Quantum AI is a 3-year, $5M global competition designed to advance the field of quantum algorithms towards pro-society real-world applications.
- Google Quantum AI is working with industry and academic partners to uncover future applications for error-corrected quantum computers in the fields of chemistry, materials science, and energy.
- Quantum AI team provides resources and research on topics like a new quantum algorithm for classical mechanics with an exponential speedup, overcoming leakage on error-corrected quantum processors, and measurement-induced entanglement phase transitions in a quantum circuit.