The Google Quantum AI team has demonstrated the world’s first algorithm with verifiable quantum advantage, which we call Quantum Echoes.
This breakthrough was made possible by our Willow quantum processor, which ran the algorithm 13,000x faster than one of the world’s fastest supercomputers. Our Quantum Echoes algorithm computes an Out-of-Time-Ordered Correlator (OTOC), and can be cross-benchmarked and verified by any other quantum computers or by nature. This marks the first time a quantum computer has successfully run a verifiable algorithm that surpasses the ability of classical supercomputers.
In separate experiments, we’ve shown we can use Quantum Echoes to characterize the structure of molecules. This capability paves a path for quantum computers to augment traditional Nuclear Magnetic Resonance (NMR), offering scientists a powerful new tool to study new kinds of molecular systems. This information is vital for fields like drug discovery and materials science.
As a result of this breakthrough, we are even more optimistic that we will see real-world applications possible only on quantum computers within five years.
Hear directly from Vadim Smelyanskiy, Yu Chen, and Nicholas Rubin from the Google Quantum AI team about this work.
Additional Resources:
Subscribe to Google Quantum AI → https://goo.gle/QuantumAI
#GoogleQuantumAI #QuantumAI
This breakthrough was made possible by our Willow quantum processor, which ran the algorithm 13,000x faster than one of the world’s fastest supercomputers. Our Quantum Echoes algorithm computes an Out-of-Time-Ordered Correlator (OTOC), and can be cross-benchmarked and verified by any other quantum computers or by nature. This marks the first time a quantum computer has successfully run a verifiable algorithm that surpasses the ability of classical supercomputers.
In separate experiments, we’ve shown we can use Quantum Echoes to characterize the structure of molecules. This capability paves a path for quantum computers to augment traditional Nuclear Magnetic Resonance (NMR), offering scientists a powerful new tool to study new kinds of molecular systems. This information is vital for fields like drug discovery and materials science.
As a result of this breakthrough, we are even more optimistic that we will see real-world applications possible only on quantum computers within five years.
Hear directly from Vadim Smelyanskiy, Yu Chen, and Nicholas Rubin from the Google Quantum AI team about this work.
Additional Resources:
- Explore the full publication in Nature → http://goo.gle/48Ey6Un
- Read more on The Keyword → https://goo.gle/4Ou7Rp
- Get the technical details from the Quantum AI team → http://goo.gle/474hPHa
Subscribe to Google Quantum AI → https://goo.gle/QuantumAI
#GoogleQuantumAI #QuantumAI