(SciTechDaily) Engineers at EPFL have developed a method for reading several qubits – the smallest unit of quantum data – at the same time. Their method paves the way to a new generation of even more powerful quantum computers.
“IBM and Google currently have the world’s most powerful quantum computers,” says Prof. Edoardo Charbon, head of the Advanced Quantum Architecture Laboratory (AQUA Lab) in EPFL’s School of Engineering. “IBM has just unveiled a 127-qubit machine, while Google’s is 53 qubits.” The scope for making quantum computers even faster is limited, however, due to an upper bound on the number of qubits. But a team of engineers led by Charbon, in collaboration with researchers in the U.K., has just developed a promising method for breaking through this technological barrier. Their approach can read qubits more efficiently, meaning more of them can be packed into quantum processors.
“Our challenge now is to interconnect more qubits into quantum processors – we’re talking hundreds, even thousands – in order to boost the computers’ processing power,” says Charbon.
The number of qubits is currently limited by the fact that there’s no technology yet available that can read all the qubits rapidly. “Complicating things further, qubits operate at temperatures close to absolute zero, or –273.15oC,” says Charbon. “That makes reading and controlling them even harder. What engineers typically do is use machines at room temperature and control each qubit individually.”
Andrea Ruffino, a PhD student at Charbon’s lab, has developed a method enabling nine qubits to be read simultaneously and effectively. What’s more, his approach could be scaled up to larger qubit matrices. “Our method is based on using time and frequency domains,” he explains. “The basic idea is to reduce the number of connections by having three qubits work with a single bond.”
EPFL doesn’t have a quantum computer, but that didn’t stop Ruffino. He found a way to emulate qubits and run experiments under nearly the same conditions as those in a quantum computer. “I incorporated quantum dots, which are nanometer-sized semiconductor particles, into a transistor. That gave me something that works the same as qubits,” says Ruffino.