Silicon quantum computers could soon be a reality

Andrew Dzurak, team leader, Scientia Professor and Director of the Australian National Fabrication Facility at UNSW, commented: “What we have is a game changer. We’ve demonstrated a two-qubit logic gate - the central building block of a quantum computer - and, significantly, done it in silicon. Because we use essentially the same device technology as existing computer chips, we believe it will be much easier to manufacture a full-scale processor chip than for any of the leading designs, which rely on more exotic technologies. This makes the building of a quantum computer much more feasible, since it is based on the same manufacturing technology as today’s computer industry."

The advance represents the final physical component needed to realise the promise of super-powerful silicon quantum computers, which harness the science of the very small - the strange behaviour of subatomic particles - to solve computing challenges that are beyond the reach of even today's fastest supercomputers.

In classical computers, data is rendered as binary bits, which are always in one of two states: 0 or 1. However, a quantum bit (or ‘qubit’) can exist in both of these states at once, a condition known as a superposition. A qubit operation exploits this quantum weirdness by allowing many computations to be performed in parallel (a two-qubit system performs the operation on 4 values, a three-qubit system on 8, and so on). “If quantum computers are to become a reality, the ability to conduct one- and two-qubit calculations is essential,” said Dzurak.

Until now, it had not been possible to make two quantum bits ‘talk’ to each other - and thereby create a logic gate - using silicon. But, working with Professor Kohei M. Itoh of Japan’s Keio University, the UNSW team has done just that for the first time.

The result means that all of the physical building blocks for a silicon-based quantum computer have now been successfully constructed, allowing engineers to finally begin the task of designing and building a functioning quantum computer.

"Despite this enormous global interest and investment, quantum computing has - like Schrödinger’s cat - been simultaneously possible (in theory) but seemingly impossible (in physical reality),” said Professor Mark Hoffman, UNSW's Dean of Engineering. “The advance our UNSW team has made could, we believe, be the inflection point that changes the Schrödinger paradigm. The technology - devised, tested and patented by our team - has the potential to take quantum computing across the threshold from the theoretical to the real.”

A key advantage of the UNSW approach is that it reconfigured the ‘transistors’ used to define the bits in existing silicon chips, turning them into qubits. “The silicon chip in your smartphone or tablet already has around one billion transistors on it, with each transistor less than 100 billionths of a metre in size,” said Dr Menno Veldhorst, a UNSW Research Fellow and the lead author of the paper. “We’ve morphed those silicon transistors into quantum bits by ensuring that each has only one electron associated with it. We then store the binary code of 0 or 1 on the ‘spin’ of the electron, which is associated with the electron’s tiny magnetic field."

According to Dzurak, the team had recently: “patented a design for a full-scale quantum computer chip that would allow for millions of our qubits, all doing the types of calculations that we’ve just experimentally demonstrated."

He said that a key next step for the project is to identify the right industry partners to work with to manufacture the full-scale quantum processor chip.

Such a full-scale quantum processor would have major applications in the finance, security and healthcare sectors. It would allow: the identification and development of new medicines by greatly accelerating the computer-aided design of pharmaceutical compounds (and minimising lengthy trial and error testing); the development of new, lighter and stronger materials spanning consumer electronics to aircraft; and faster information searching through large databases.