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IEEE International Conference on IC Design and Technology (ICICDT)

Silicon-based quantum computation

Stephanie Simmons

Published May 1, 2013• 1 citation
Publisher

Abstract

There is a worldwide race to build a computer which exploits the counterintuitive principles of quantum mechanics. Silicon is one of the most promising platforms for emerging quantum information technologies for two reasons: one, it possesses many of the key desirable criteria for low-error quantum information processing, and two, the microelectronics industry has decades of experience with producing ultrapure silicon and nanoscale silicon devices, which makes silicon-based quantum devices attractive for future commercial integration. This paper reviews a selection of silicon-based quantum computer design proposals, their technological requirements, and explores recent experimental progress towards their realisation.

DOI
10.1109/icicdt.2013.6563315

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There is a worldwide race to build a computer which exploits the counterintuitive principles of quantum mechanics. Silicon is one of the most promising platforms for emerging quantum information technologies for two reasons: one, it possesses many of the key desirable criteria for low-error quantum information processing, and two, the microelectronics industry has decades of experience with producing ultrapure silicon and nanoscale silicon devices, which makes silicon-based quantum devices attractive for future commercial integration. This paper reviews a selection of silicon-based quantum computer design proposals, their technological requirements, and explores recent experimental progress towards their realisation.
Abstract Quantum computation (QC) is one of the most challenging quantum technologies that promise to revolutionize data computation in the long-term by outperforming the classical supercomputers in specific applications. Errors will hamper this quantum revolution if not sufficiently limited and corrected by quantum error correction codes thus avoiding quantum algorithm failures. In particular millions of highly-coherent qubits arranged in a two-dimensional array are required to implement the surface code, one of the most promising codes for quantum error correction. One of the most attractive technologies to fabricate such large number of almost identical high-quality devices is the well known metal-oxide-semiconductor technology. Silicon quantum processor manufacturing can leverage the technological developments achieved in the last 50 years in the semiconductor industry. Here, we review modeling, fabrication aspects and experimental figures of merit of qubits defined in the spin degree of freedom of charge carriers confined in quantum dots and donors in silicon devices along with classical electronics innovations for qubit control and readout. Furthermore, we discuss potential applications of the technology and finally we review the role of start-ups and companies in the silicon-based QC era.
Quantum computing is an emerging field that has been attracting a substantial amount of interest in the scientific community lately due to the advantages of quantum information processing. The fundamental unit of quantum information that makes up a quantum computer is a qubit. Several platforms have been proposed as physical realisations of these qubits for the purpose of making quantum computing a feasible technology, yet no one platform has significantly outperformed the others. This literature review discusses the current state of the field of quantum computing, by comparing and contrasting some of the most promising qubit platforms of today. By doing so, this paper analyses each of their feasibilities for full-scale quantum computing in the future and maps out a possible trajectory for how quantum computing may progress in the next few years
With high integration density and excellent optical properties, silicon photonics is becoming a promising platform for complete integration and large-scale optical quantum information processing. Scalable quantum information applications need photon generation and detection to be integrated on the same chip, and we have seen that various devices on the silicon photonic chip have been developed for this goal. This paper reviews the relevant research results and state-of-the-art technologies on the silicon photonic chip for scalable quantum applications. Despite the shortcomings, the properties of some components have already met the requirements for further expansion. Furthermore, we point out the challenges ahead and future research directions for on-chip scalable quantum information applications.
Researchers in Australia have boldly declared that they will produce a prototype building block for the world's first quantum computer within 12 months. Quantum computers would exploit the ability of a particle to be in two quantum states at the same time, allowing them, in principle, to outperform classical computers by many orders of magnitude in some operations. Staff at the Australian Centre for Quantum Computing Technology say that a device based on two quantum bits, or “qubits”, will be ready within a year. While groups in other countries are pursing different strategies, the Australian scientists are basing their research on silicon chips, which, they say, have the advantage of already being widely used in industry.
Integrated quantum photonic applications, providing physically guaranteed communications security, subshot-noise measurement, and tremendous computational power, are nearly within technological reach. Silicon as a technology platform has proven formidable in establishing the micro-electronics revolution, and it might do so again in the quantum technology revolution. Silicon has taken photonics by storm, with its promise of scalable manufacture, integration, and compatibility with CMOS microelectronics. These same properties, and a few others, motivate its use for large-scale quantum optics as well. In this paper, we provide context to the development of quantum optics in silicon. We review the development of the various components that constitute integrated quantum photonic systems, and we identify the challenges that must be faced and their potential solutions for silicon quantum photonics to make quantum technology a reality.
Over the last 20 years there has been a steady increase in fundamental physics research and the hardware development needed to realize a quantum computer. However, in the last 5 years we have seen a dramatic increase in the interest from industry, including a variety of major semiconductor and technology leaders such as IBM, Google and Intel. This is the result of both a better understanding of the variety of problems that can be addressed and the impact that will come with quantum computing along with the emergence of a couple of potentially scalable hardware solutions. In a recent interview with a leading manufacturer, an aggressive strategy was laid out to achieve an operational 1000-qubit quantum computer within 5 years that can solve a variety of problems not addressable by conventional computing and the 10-year prospect to achieve a 1 million qubit machine that would “profoundly change society”. The major technology leaders view quantum information (QI) as a technology that they must begin to develop and understand today. Augmenting existing technology with QI is desirable, but , there are a variety of technical challenges to making silicon-based QI systems with the needed quantum properties and coherence times. New challenges in atomic precision and individual atom or electron effects that fundamentally affect device performance bring on a variety of new manufacturing and metrology challenges. Measuring electron spin coherence, exchange energies, and qubit fidelity are entirely new measurements for the semiconductor industry. Even the resolution of TEM may be inadequate, as TEM of a nominally 80 nm thick slice of silicon which averages many atoms together in a measurement where only one or two atoms can deeply change device performance, coherence times, or introduce charge offsets. After developing some of the first cold atom and ion trap quantum information demonstrations at NIST, we are now investing significantly in developing the supporting metrology and modeling methods needed to help industry develop and commercialize this new technology. In this presentation we will provide an overview of hardware solutions for quantum computing, future metrology needs and challenges to enable manufacturable quantum computers. Although industry leaders are now investing in superconducting qubits and silicon-based qubits, the two leading technologies, this talk will primarily focus on the principles of solid state silicon QI operation, manufacturing metrology solutions, and measurements needed to develop and evaluate viable technological solutions.