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Quantum Computing With Ordinary CMOS Transistors €? IEEE Spectrum ((EXCLUSIVE))

These cryogenic electronics are anticipated to have a number of potential initial application areas. Sensors may be capable of improved accuracy, resolution, and rate; signal and media processing (along with sensor array readouts) may also see improvements. Digital and quantum computing capabilities will likely see a sharp increase, resulting in improvements concerning operations per second, energy per operation, and coherence time.

Quantum Computing With Ordinary CMOS Transistors – IEEE Spectrum

As with any new technology there are a lot of open questions. What is the road to the point where quantum computing shows demonstrable and significant advantage over classical computers and algorithms on real world problems? What is the status of Quantum computers today? How do we define system-metrics to measure the performance of a Quantum System? We will discuss how EDA is helping to advance quantum computing and what EDA problems could potentially be more tractable by Quantum Computing. This lecture will answer several of these questions.

Bio: Mathias Soeken works at the Azure Quantum team at Microsoft. From 2015 to 2020, he has been with École Polytechnique Fédérale Lausanne (EPFL), Switzerland as postdoctoral scientist. He holds a Ph.D. degree (Dr.-Ing.) in Computer Science from University of Bremen, Germany (2013). His research interests are logic synthesis, quantum computing, reversible logic, and formal verification.

Talk Abstract: Josephson Junction-based superconducting circuits are promising candidates for high-speed digital electronics with dramatically lower power consumption than CMOS, as well as a potential enabler in research towards the implementation of large-scale quantum computing. In this presentation, we will describe an automated industrial flow for the creation of microcontrollers and other digital systems in the Single Flux Quantum (SFQ) technology. Starting with a Register-Transfer Level (RTL) description of the circuit, the flow integrates logic synthesis, technology mapping, timing and logic verification, library cell placement and routing, and completes with a physical design for fabrication. We will examine the challenges specific to superconducting electronics (SCE) technology at the different stages in this flow and report on the implementation results.

Quantum plasmonics is an exciting subbranch of nanoplasmonics where the laws of quantum theory are used to describe light-matter interactions on the nanoscale. Plasmonic materials allow extreme subdiffraction confinement of (quantum or classical) light to regions so small that the quantization of both light and matter may be necessary for an accurate description. State-of-the-art experiments now allow us to probe these regimes and push existing theories to the limits which opens up the possibilities of exploring the nature of many-body collective oscillations as well as developing new plasmonic devices, which use the particle quality of light and the wave quality of matter, and have a wealth of potential applications in sensing, lasing, and quantum computing. This merging of fundamental condensed matter theory with application-rich electromagnetism (and a splash of quantum optics thrown in) gives rise to a fascinating area of modern physics that is still very much in its infancy. In this review, we discuss and compare the key models and experiments used to explore how the quantum nature of electrons impacts plasmonics in the context of quantum size corrections of localized plasmons and quantum tunneling between nanoparticle dimers. We also look at some of the remarkable experiments that are revealing the quantum nature of surface plasmon polaritons.

The switching energy is approaching the thermal noise spectral density. In addition to noise, leakage currents and interconnects with high capacitances will form a problem. As dimensions approach nanometer ranges, CMOS transistors are difficult to operate because of rising power dissipation of chips and the fall in power gain of smaller transistors, soaring fabrication plant costs and finally, quantum effects in silicon will bring about an end to the ongoing miniaturization of CMOS transistors.

Robert Wille's expertise covers a broad spectrum of topics with a particular focus on the development of automatic methods for the design, simulation, verification, and test of complex systems in hard- and software. He considers conventional technologies (from formal specifications to the realization) as well as future technologies (including quantum computing, microfluidic biochips, field-coupled nanotechnologies, optical circuits, memristors, reversible circuits, and adiabatic circuits). Besides that, he frequently applies his expertise to complementary fields in cooperation with groups from other areas of Computer Science (e.g., Machine Learning, Software Development, Theoretical Computer Science, Database Systems, Operation Systems, and more) as well as Mechatronics and Electrical Engineering. Furthermore, his work on future technologies frequently exposes him to topics from physics, biology, chemistry, and optics. Also, projects with legal sciences are within his portfolio.

However, the approaches mentioned above still seem to be incompetent at meeting the challenges which are from the applications with extreme computational complexity, such as large scale optimization, large molecules simulation, large number decomposition, etc. These applications require large size of memory which the most powerful supercomputers can hardly meet. In addition, processing of these applications needs the runtimes on the order of tens of years or more. Therefore, it is essential to investigate the new computing paradigms which are different with the conventional computing systems based on Boole logics and von Neumann architecture. Currently, quantum computing, DNA computing, neuromorphic computing, optical computing, etc. called as physical computing paradigms are attracting more and more researcher attention. These physical computing paradigms, providing more complexity operators than Boole logics in device level, can be used to build exceptional accelerators. Compared to the low-temperature requirement in quantum computing, and the dynamic instabilities of DNA and neuromorphic computing, optical computing has loose environment requirement and solid systemic composing. Therefore, optical computing has been considered as one of the most promising ways to tackle intractable problems.

Jinchen Wang ( received the B.Eng. degree in electronic information engineering from the University of Electronic Science and Technology of China in 2019, and the B.Eng. degree with first-class honors in electronics and electrical engineering from the University of Glasgow in 2019. He is currently pursuing the Ph.D. degree with the Department of Electrical Engineering and Computer Science, MIT. His research interests include RF/mmW/THz circuits, algorithms, and systems for radar imaging, wireless communication, quantum computing, and other novel applications. He was also a recipient of the IEEE Microwave Theory and Technique Society Undergraduate/Pre-Graduate Scholarship Award in 2019.

This review describes an emerging field of electronics devices; electron spin exploitation use for a further degree of freedom incorporation to charge state, with the significant feature like non-volatility, processing speed, reduction in power consumption, escalation in integration densities, data storage, and data transfer as compared to conventional CMOS devices. Moreover, this paper discussed challenges, limitations, and issues facing and CMOS technology and alternative solutions over CMOS. This article categorized all the details about the spin devices and strives to realize their prototype and functioning using the fundamental concept of quantum mechanics. The Magnetic RAM (MRAM) and spin-FET is a remarkable field of progress in the past few years over traditional CMOS, which urges advancement for conventional devices despite the significant challenges that lay ahead. Spin-FET's challenges are met by resolving issues in spin injection, spin transport, optical spin manipulation, and efforts in new materials fabrication. These devices contribute to the integrated circuit application of magnetic transistors towards reconfigurable logic-based devices with nonvolatility and reduction in power consumption.

Figures 1 thru 4 are strong evidence that Moore's law has held for 60 years. We ourselves were initially skeptical that Moore's 1965 empirical observation is a law. That it has held for so long across multiple families of technologies, however, suggested that it is more than a self-fulfilling prophesy. When we looked more closely at empirical evidence (Figures 1-4), we concluded that engineers were harnessing recurrent physical effects unique to computing technologies. We further concluded from the mathematics that exponential rates of adoption are normal and that technology jumping enables those rates to continue with a new technology when an older one hits its limits. There are plenty of technologies ripening for possible jumps including clever new transistors, quantum dots, memristors, and quantum computers. There is plenty of science backed up with empirical validation to confirm Moore's law. Expect Moore's law for computing power and energy efficiency to continue for many more generations of computing technologies.


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