UNSW quantum computing engineers supercharge silicon chip performance

THE UNIVERSITY of NSW (UNSW) Sydney has made a significant breakthrough in quantum computing.

UNSW engineers have substantially extended the time that their quantum computing processors can hold information by more than 100 times compared with previous results.

Two milliseconds – or two thousandths of a second – is a very long time in the world of quantum computing.

On these timescales the blink of an eye – at one 10th of a second – is like an eternity.

Now a team of UNSW Sydney researchers has broken new ground in proving that ‘spin qubits’ – properties of electrons representing the basic units of information in quantum computers – can hold information for up to two milliseconds. Known as ‘coherence time’, the duration of time that qubits can be manipulated in increasingly complicated calculations, the achievement is 100 times longer than previous benchmarks in the same quantum processor.

“Longer coherence time means you have more time over which your quantum information is stored – which is exactly what you need when doing quantum operations,” PhD student Amanda Seedhouse, whose work in theoretical quantum computing contributed to the achievement.

“The coherence time is basically telling you how long you can do all of the operations in whatever algorithm or sequence you want to do before you've lost all the information in your qubits.” 

In quantum computing, the more you can keep spins in motion, the better the chance that the information can be maintained during calculations. When spin qubits stop spinning, the calculation collapses and the values represented by each qubit are lost. The concept of extending coherence was already confirmed experimentally by quantum engineers at UNSW in 2016.

Making the task even more challenging is the fact that working quantum computers of the future will need to keep track of the values of millions of qubits if they are to solve some of humanity’s biggest challenges, such as the search for effective vaccines, modelling weather systems and predicting the impacts of climate change.

Late last year the same team at UNSW Sydney solved a technical problem that had stumped engineers for  decades: how to manipulate millions of qubits without generating more heat and interference. Rather than adding thousands of tiny antennas to control millions of electrons with magnetic waves, the research team came up with a way to use just one antenna to control all the qubits in the chip by introducing a crystal called a dielectric resonator. These results were published in Science Advances.

This solved the problem of space, heat and noise that would inevitably increase as more and more qubits are brought online to carry out the mind-bending calculations that are possible when qubits not only represent 1 or 0 like conventional binary computers, but both at once, using a phenomenon known as quantum superposition.

Global v individual control

However, this proof-of-concept achievement still left a few challenges to solve. Lead researcher Ingvild Hansen joined Ms Seedhouse to address these issues in a series of papers published in the journals Physical Review B, Physical Review A and Applied Physics Reviews – the last paper published just this week.

Being able to control millions of qubits with just one antenna was a large step forward. But while control of millions of qubits at once is a great feat, working quantum computers will also need them to be manipulated individually.

If all the spin qubits are rotating at nearly the same frequency, they will have the same values. How can we control them individually so they can represent different values in a calculation?

“First we showed theoretically that we can improve the coherence time by continuously rotating the qubits,” Ms Hansen said.

“If you imagine a circus performer spinning plates, while they’re still spinning, the performance can continue. In the same way, if we continuously drive qubits, they can hold information for longer. We showed that such ‘dressed’ qubits had coherence times of more than 230 microseconds [230 millionths of a second].”

After the team showed that coherence times could be extended with so-called ‘dressed’ qubits, the next challenge was to make the protocol more robust and to show that the globally controlled electrons can also be controlled individually so that they could hold different values needed for complex calculations.

This was achieved by creating what the team dubbed the ‘SMART’ qubit protocol – Sinusoidally Modulated, Always Rotating and Tailored.

Rather than have qubits spinning in circles, they manipulated them to rock back and forth like a metronome. Then, if an electric field is applied individually to any qubit – putting it out of resonance – it can be put into a different tempo to its neighbours, but still moving at the same rhythm.

“Think of it like two kids on a swing who are pretty much going forward and backwards in sync,” Ms Seedhouse said. “If we give one of them a push, we can get them reaching the end of their arc at opposite ends, so one can be a 0 when the other is now a 1.”

The result is that not only can a qubit be controlled individually (electronically) while under the influence of global control (magnetically) but the coherence time is substantially longer and suitable for quantum calculations.

“We have shown a simple and elegant way to control all qubits at once that also comes with a better performance,” one of the senior researchers in the team, Henry Yang said.

“The SMART protocol will be a potential path for full-scale quantum computers,” Dr Yang said.

The research team is led by professor Andrew Dzurak, CEO and founder of Diraq, a UNSW spin-out company that is developing quantum computer processors which can be made using standard silicon chip manufacturing.

Next steps

“Our next goal is to show this working with two-qubit calculations after showing our proof-of-concept in our experimental paper with one qubit,” Ms Hansen said.

“Following that, we want to show that we can do this for a handful of qubits as well, to show that the theory is proven in practice.”

See the process explained: https://youtu.be/TTW5rSngyzY

 

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