Google has taken a notable step into the field of quantum computing with a new algorithm called Quantom Echoes. This algorithm has been able to demonstrate for the first time a “practical and verifiable quantum advantage” that makes its quantum computer make fools of today’s large supercomputers.
13,000 times faster than a supercomputer. The new algorithm, called Quantum Echoes (“Quantum Echoes”), has made it possible to demonstrate that a quantum computer – based on Google’s Willow quantum chip— successfully executes a verifiable algorithm that exceeds the capacity of today’s large supercomputers. Thus, that computer managed to execute that algorithm 13,000 times faster than the best current classical supercomputer when executing similar code.
“Quantum verifiability”. Google’s quantum supercomputer solved the problem in just over two hours, when in the second supercomputer most powerful in the world, Frontier, would have taken 3.2 years. But it also did it in a verifiable way: the result can be repeated in the quantum computer itself or in any other of similar caliber.
Quantum echoes. The algorithm resembles an advanced echo: you send a signal to the quantum system, perturb a qubit, and then precisely reverse the evolution of the signal to “listen” to the resulting echo. This echo is special because it is amplified by constructive interference, a quantum phenomenon where waves add up to become stronger, which allows this effect to be precisely measured. The algorithm allows modeling the structure of systems in nature, from molecules to black holes.
An achievement with a lot of Nobel Prize behind it. The milestone is based on decades of research in this area, including that carried out by the recent Nobel Prize winner, Michel H. Devoretwho is part of the Google team. Together with his colleagues John M. Martinis and John Clark he laid the foundations for this advance at the University of California at Berkeley in the mid-1980s.
“Quantum verifiability”. Google’s quantum supercomputer solved the problem in just over two hours, when in the second supercomputer most powerful in the world, Frontier, would have taken 3.2 years. But it also did it in a verifiable way: the result can be repeated in the quantum computer itself or in any other of similar caliber.
Quantum echoes. The algorithm resembles an advanced echo: you send a signal to the quantum system, perturb a qubit, and then precisely reverse the evolution of the signal to “listen” to the resulting echo. This echo is special because it is amplified by constructive interference, a quantum phenomenon where waves add up to become stronger, which allows this effect to be precisely measured. The algorithm allows modeling the structure of systems in nature, from molecules to black holes.
An achievement with a lot of Nobel Prize behind it. The milestone is based on decades of research in this area, including that carried out by the recent Nobel Prize winner, Michel H. Devoretwho is part of the Google team. Together with his colleagues John M. Martinis and John Clark he laid the foundations for this advance at the University of California at Berkeley in the mid-1980s.
Hello qubit. His discovery: the properties of quantum mechanics could also be observed in electrical circuits large enough to be seen with the naked eye. That gave rise to the creation of superconducting qubitswhich are the basic blocks with which Google has created (like other companies) its quantum computers. Devoret joined Google in 2023, thus strengthening the company’s trajectory in its search for the now famous “quantum supremacy”.
Promising practical applications. The advance is directed directly to the solution of important problems in fields such as medicine or materials science. Quantum computing remains an experimental technology and faces a key challenge with error correction, but Quantum Echoes demonstrates that “quantum software” is advancing at a pace parallel to hardware. Google applied Quantum Echoes to a proof of concept experiment for Nuclear Magnetic Resonance. This technique acts as a “molecular microscope”, a powerful tool that will help design drugs or, for example, establish the molecular structure of new polymers.
a marathon. This new milestone demonstrates the progress that this technology has made in recent years, but Google is not alone here. Microsoft or IBM have also made notable advances in recent years, and of course there are numerous startups both in the US like in china who work in this area.
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