Quantum computers store info using subatomic particles, which behave according to very different rules than those that govern our macro world. For example, quantum particles can exist in a “superposition” of two different states on the identical time, and gentle-years might separate particles but be “entangled,” affecting each others’ properties.
This is key to the incredible potential energy of quantum computing. Because of the superposition phenomenon, quantum computers can use retailers and manipulate far more data per unit quantity than can traditional networks, which encode info in a binary method using 0s and 1s. (The basic unit of data in a quantum-computing system, by the way, is named a qubit, which is brief for “quantum bit.”)
The brand new research offers us a style of that energy. The analysis group, led by Frank Arute of Google AI Quantum, used a quantum laptop referred to as Sycamore, which featured 53 functional qubits (plus one that didn’t work correctly).
The scientists entangled the 53 qubits into a fancy superposition state, then had Sycamore perform an activity akin to random-quantity technology. The outcomes had been then compared with simulations run on the Summit supercomputer at Oak Ridge National Laboratory in Tennessee.
Summit is currently the world’s leading supercomputer, able to carry out about 200 million billion operations per second,” William Oliver, a physicist on the Massachusetts Institute of Technology, has written in the “News and Views” piece in Nature.
“It includes roughly 40,000 processor models, every of which accommodates billions of transistors (electronic switches), and has 250 million gigabytes of storage. Roughly 99% of Summit’s resources had been used to perform the classical sampling,” added Oliver, who was not involved within the new examine.