Quantum breakthrough: WorldÇà¹ÏÊÓƵ™s purest silicon brings scientists one step closer to scaling up quantum computers
More than 100 years ago, scientists at The University of Manchester changed the world when they discovered the nucleus in atoms, marking the birth of nuclear physics.
Fast forward to today, and history repeats itself, this time in quantum computing.
Building on the same pioneering method forged by Ernest Rutherford Çà¹ÏÊÓƵ“ "the founder of nuclear physics" Çà¹ÏÊÓƵ“ scientists at the University, in collaboration with the University of Melbourne in Australia, have produced an enhanced, ultra-pure form of silicon that allows construction of high-performance qubit devices Çà¹ÏÊÓƵ“ a fundamental component required to pave the way towards scalable quantum computers.
The finding, published in the journal Communications Materials - Nature, could define and push forward the future of quantum computing.
Richard Curry, Professor of Advanced Electronic Materials at The University of Manchester, said: Çà¹ÏÊÓƵœWhat weÇà¹ÏÊÓƵ™ve been able to do is effectively create a critical Çà¹ÏÊÓƵ˜brickÇà¹ÏÊÓƵ™ needed to construct a silicon-based quantum computer. ItÇà¹ÏÊÓƵ™s a crucial step to making a technology that has the potential to be transformative for humankind - feasible; a technology that could give us the capability to process data at such as scale, that we will be able to find solutions to complex issues such as addressing the impact of climate change and tackling healthcare challenges.
Çà¹ÏÊÓƵœIt is fitting that this achievement aligns with the 200th anniversary of our University, where Manchester has been at the forefront of science innovation throughout this time, including RutherfordÇà¹ÏÊÓƵ™s Çà¹ÏÊÓƵ˜splitting the atomÇà¹ÏÊÓƵ™ discovery in 1917, then in 1948 with Çà¹ÏÊÓƵ˜The BabyÇà¹ÏÊÓƵ™ - the first ever real-life demonstration of electronic stored-program computing, now with this step towards quantum computing.Çà¹ÏÊÓƵ
One of the biggest challenges in the development of quantum computers is that qubits Çà¹ÏÊÓƵ“ the building blocks of quantum computing - are highly sensitive and require a stable environment to maintain the information they hold. Even tiny changes in their environment, including temperature fluctuations can cause computer errors.
Another issue is their scale, both their physical size and processing power. Ten qubits have the same processing power as 1,024 bits in a normal computer and can potentially occupy much smaller volume. Scientists believe a fully performing quantum computer needs around one million qubits, which provides the capability unfeasible by any classical computer.
Silicon is the underpinning material in classical computing due to its semiconductor properties and the researchers believe it could be the answer to scalable quantum computers. Scientists have spent the last 60 years learning how to engineer silicon to make it perform to the best of its ability, but in quantum computing, it has its challenges.
Natural silicon is made up of three atoms of different mass (called isotopes) Çà¹ÏÊÓƵ“ silicon 28, 29 and 30. However the Si-29, making up around 5% of silicon, causes a Çà¹ÏÊÓƵ˜nuclear flip floppingÇà¹ÏÊÓƵ™ effect causing the qubit to lose information.
In a breakthrough at The University of Manchester, scientists have come up with a way to engineer silicon to remove the silicon 29 and 30 atoms, making it the perfect material to make quantum computers at scale, and with high accuracy.
The result Çà¹ÏÊÓƵ“ the worldÇà¹ÏÊÓƵ™s purest silicon Çà¹ÏÊÓƵ“ provides a pathway to the creation of one million qubits, which may be fabricated to the size of pin head.
Ravi Acharya, a PhD researcher who performed experimental work in the project, explained: "The great advantage of silicon quantum computing is that the same techniques that are used to manufacture the electronic chips Çà¹ÏÊÓƵ” currently within an everyday computer that consist of billions of transistors Çà¹ÏÊÓƵ” can be used to create qubits for silicon-based quantum devices. The ability to create high quality Silicon qubits has in part been limited to date by the purity of the silicon starting material used. The breakthrough purity we show here solves this problem."
The new capability offers a roadmap towards scalable quantum devices with unparalleled performance and capabilities and holds promise of transforming technologies in ways hard to imagine.
Project co-supervisor, Professor David Jamieson, from the University of Melbourne, said: Çà¹ÏÊÓƵœOur technique opens the path to reliable quantum computers that promise step changes across society, including in artificial intelligence, secure data and communications, vaccine and drug design, and energy use, logistics and manufacturing.
Çà¹ÏÊÓƵœNow that we can produce extremely pure silicon-28, our next step will be to demonstrate that we can sustain quantum coherence for many qubits simultaneously. A reliable quantum computer with just 30 qubits would exceed the power of today's supercomputers for some applications,Çà¹ÏÊÓƵ
What is quantum computing and how does it work?
All computers operate using electrons. As well as having a negative charge, electrons have another property known as Çà¹ÏÊÓƵ˜spinÇà¹ÏÊÓƵ™, which is often compared to a spinning top.
The combined spin of the electrons inside a computerÇà¹ÏÊÓƵ™s memory can create a magnetic field. The direction of this magnetic field can be used to create a code where one direction is called Çà¹ÏÊÓƵ˜0Çà¹ÏÊÓƵ™ and the other direction is called Çà¹ÏÊÓƵ˜1Çà¹ÏÊÓƵ™. This then allows us to use a number system that only uses 0 and 1 to give instructions to the computer. Each 0 or 1 is called a bit.
In a quantum computer, rather than the combined effect of the spin of many millions of electrons, we can use the spin of single electrons, moving from working in the Çà¹ÏÊÓƵ˜classicalÇà¹ÏÊÓƵ™ world to the Çà¹ÏÊÓƵ˜quantumÇà¹ÏÊÓƵ™ world; from using Çà¹ÏÊÓƵ˜bitsÇà¹ÏÊÓƵ™ to Çà¹ÏÊÓƵ˜qubitsÇà¹ÏÊÓƵ™.
While classical computers do one calculation after another, quantum computers can do all the calculations at the same time allowing them to process vast amounts of information and perform very complex calculations at an unrivalled speed.