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Low Temperature Physics

Quantum engineering of superconducting structures: Principles, promise and problems

Alexandre M. Zagoskin

Published Jul 1, 2017• 3 citations
Publisher

Abstract

Quantum technologies went through an explosive development since the beginning of the century. The progress in the field of superconducting quantum structures was especially fast. As the result, the design and characterization of large quantum coherent structures became an engineering problem. We will discuss the current status of the emerging discipline of quantum engineering and possible ways of meeting its main challenge, the fundamental impossibility of an efficient modelling of a quantum system using classical means.

DOI
10.1063/1.4995621

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Quantum technologies went through an explosive development since the beginning of the century. The progress in the field of superconducting quantum structures was especially fast. As the result, the design and characterization of large quantum coherent structures became an engineering problem. We will discuss the current status of the emerging discipline of quantum engineering and possible ways of meeting its main challenge, the fundamental impossibility of an efficient modelling of a quantum system using classical means.
Civil engineering problems are inherently complex and computationally intensive, often requiring advanced methods to analyze large-scale systems and nonlinear interactions. Addressing these challenges requires next-generation computing paradigms that can deliver greater speed and efficiency. Quantum computing, which exploits quantum–mechanical principles such as superposition and entanglement, offers the potential to process information in ways that far surpass classical computing, enabling faster and more accurate solutions to intricate engineering problems. This emerging technology could transform multiple areas within civil engineering—for example, materials science, project management, structural analysis, and design. Continued research and development in this direction may usher the discipline into a new era of computational innovation. Although quantum computing remains at an early stage of maturity, it has already attracted significant attention from researchers across diverse civil-engineering subfields. Fully realizing its potential will require overcoming major technical and practical challenges. This article presents an in-depth review of quantum computing applications in civil engineering, highlighting current progress, advantages, and limitations. It also outlines promising directions for future research to guide the evolution of this rapidly developing interdisciplinary field.
The aim of this review is to provide quantum engineers with an introductory guide to the central concepts and challenges in the rapidly accelerating field of superconducting quantum circuits. Over the past twenty years, the field has matured from a predominantly basic research endeavor to a one that increasingly explores the engineering of larger-scale superconducting quantum systems. Here, we review several foundational elements—qubit design, noise properties, qubit control, and readout techniques—developed during this period, bridging fundamental concepts in circuit quantum electrodynamics and contemporary, state-of-the-art applications in gate-model quantum computation.
An explosive development of quantum technologies since 1999 allowed the creation of arrays of natural and artificial quantum unit elements (viz. trapped ions and superconducting qubits), which maintain certain degree of quantum coherence and allow a degree of control over their quantum state. A natural application of such structures is towards simulating quantum systems, which are too big or too complex to allow a simulation with the means of classical computers. A digital quantum simulation promises a controlled accuracy, scalability and versatility, but it imposes practically as strict requirements on the hardware as a universal quantum computation. The other approach, analogue quantum simulation, is less demanding and thus more promising in short-to-medium term. It has already provided interesting results within the current experimental means and can be used as a stopgap approach as well as the means towards the perfecting of quantum technologies. Here I review the status of the field and discuss its prospects and the role it will play in the development of digital quantum simulation, universal quantum computing and, more broadly, quantum engineering.
Quantum technologies result from the use of the laws of modern physics in increasingly sophisticated devices, promising enormous advances in computing, communication, and sensing, for both civilian and military use. As a consequence of technological progress that has miniaturized instrumentation down to atomic scales, we are witnessing the nanoscale manipulation of physical systems using intrinsic properties of quantum systems, such as entanglement. Quantum sensors are able to go beyond classical detection limits. Quantum communication offers a security advantage over classical communication. Quantum computing enables the solution of problems considered impossible to solve with classical computers. These technologies emerge as a result of advances in science and engineering, enabling the manipulation of systems at the atomic level. In this article we briefly present the fundamental concepts of quantum mechanics, the main examples of quantum technologies in sensing, communication, and computing. We show military applications and conclude by presenting the challenges and opportunities.