The processor consists of two qubits linked by a quantum bus that enables them to communicate. Each is also connected to a memory element into which the qubit can save its current value for later use, serving the function of the RAM - for random access memory - of a conventional computer. The links between the qubits and the memory contain devices known as resonators, zigzagging circuits inside which a qubit’s value can live on for a short time.
Mariantoni’s group has used the new system to run an algorithm that is a kind of computational building block, called a Toffoli gate, which can be used to implement any conventional computer program. The team also used its design to perform a mathematical operation that underlies to the algorithm with which a quantum computer might crack complex data encryption.
David Schuster leads a group at the University of Chicago that also works on quantum computing, including superconducting circuits. He says that superconducting circuits have recently proved to be comparatively reliable. “One of the next big frontiers for these techniques now is scale,” he says. By replicating the Von Neumann architecture the UCSB team have expanded that frontier.
That’s not to say that quantum computers must all adopt that design, though, as conventional computers have. “You could make a computer completely out of qubits and it could do every kind of calculation,” says Schuster. However there are advantages to making use of resonators like those that make up the new design’s memory, he says. “Resonators are easier and more reliable to make than qubits and easier to control,” says Schuster.
Mariantoni agrees. “We can easily scale the number of these unit cells,” he says. “I believe that arrays of resonators will represent the future of quantum computing with integrated circuits.”
Smaller design teams can now prototype and deploy faster.