Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Computer

Challenges for quantum computing with solid-state devices

Robert W. Keyes

Published Jan 1, 2005• 13 citations
Publisher

Abstract

Quantum computing has attracted considerable interest in the past decade as a possible way to deal with certain intractable problems of conventional digital computing. Quantum computers built using the versatile methods of solid-state technology are attractive because the many thousands of devices needed for such a computer could be fabricated with well-established technologies. However, the imperfections of solid-state devices constructed in laboratories and factories will limit the use of solid-state devices in quantum computing. The challenge for solid-state quantum computing is to find a. way to use devices without precise knowledge of their physical characteristics.

DOI
10.1109/mc.2005.13

Related papers

Solid state quantum computers: a nanoscopic solution to the Moore's law problem

Joseph Ng, Derek Abbott

The computer industry has followed Moore's Law closely and faithfully over the past few decades. However, transistors cannot continue to shrink at their current rate forever, and new methods of computation must be explored. Quantum computation is one such method that has received much attention over the past few years and will heavily rely on technological advances in the smart electronics and nanotechnology arena. In this review, we will present some of the problems facing classical computers and why quantum computers may be a viable alternative. We will briefly describe some of the "killer" quantum applications, such as Deutsch's, Shor's and Grover's algorithms that demonstrate the computational powers of quantum computation. Kane's solid state quantum computer in silicon promises to demonstrate some of these applications. However there remain many significant technological difficulties which will need to be overcome if we are to see a useful quantum computer. The main technological challenges, for Kane's solid-state computer, of interest to the smart materials and structures community, will be highlighted.

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE•Mar 16, 2001•1 citation

Solid start for solid-state quantum bits

Caspar H. van der Wal, Leo P. Kouwenhoven

Quantum computers have the potential to solve certain problems much faster than any classical computer. For instance, present-day computers would take longer than the age of the universe to factorize a 1000-bit number. A quantum computer could do it in a few seconds. These theoretical possibilities have stimulated a large amount of experimental research on the various technologies that might be used to actually build a quantum computer. Yasunoba Nakamura and colleagues at the NEC Fundamental Research Laboratories in Tsukuba and the Japan Science and Technology Corporation in Kawaguchi recently demonstrated for the first time some of the techniques that would be needed to build a computer using a solid-state device (Y Nakamura, Yu A Pashkin and J S Tsai 1999 Nature 398 786).

Physics World•Jul 1, 1999•1 citation

Quantum Computing and Digital Computing

Robert W. Keyes

Electronic systems that contain a large number of solid-state devices must deal with the fact that there are likely to be differences between nominally identical components. Methods for manufacturing solid-state devices do not produce highly reproducible products, and solid-state devices change with age and use. Quantum computing systems propose to use the same binary digital language to represent information and describe operations. However, quantum computing is not truly digital; each qubit supplies a signal that depends on its properties rather than being obtained from some standard that is known throughout the system to which it belongs. Quantum computing hardware does not form zeros and ones in some standard way that insures that a signal will be properly interpreted in another place in the system to which it belongs. This absence of a way to produce a truly digital signal leaves quantum logic at the mercy of variability in devices.

IEEE Transactions on Electron Devices•Jun 7, 2010•0 citations

Materials challenges and opportunities for quantum computing hardware

Nathalie P. de Leon, Kohei M. Itoh, Dohun Kim +7 more

Quantum computing hardware technologies have advanced during the past two decades, with the goal of building systems that can solve problems that are intractable on classical computers. The ability to realize large-scale systems depends on major advances in materials science, materials engineering, and new fabrication techniques. We identify key materials challenges that currently limit progress in five quantum computing hardware platforms, propose how to tackle these problems, and discuss some new areas for exploration. Addressing these materials challenges will require scientists and engineers to work together to create new, interdisciplinary approaches beyond the current boundaries of the quantum computing field.

Science•Apr 15, 2021•710 citations

Modeling and prospects for a solid-state quantum computer

Harry E. Ruda, Bi Qiao

Traditional approaches to computing based on nanoelectronics will likely need to embrace quantum phenomena over the coming decade with the trend toward decreasing on-chip feature sizes. Concurrently, as resonant tunneling and single-electron-based quantum devices become more prevalent, one can expect quantum computing and quantum information based on appropriate isolated and coupled low-dimensional semiconducting systems to attract more attention. We report on work aimed at understanding the limitations on how to implement practical quantum information systems that counter the natural effects of decoherence and offer suitable approaches to control of such systems. The emphasis in this paper is on open systems. We close the paper with some remarks on possible practical schemes for fabricating such systems and identify some of the challenges that lie ahead in realizing these schemes.

Proceedings of the IEEE•Oct 31, 2003•3 citations

Quantum Computing

Michael Nofer, Kevin Bauer, Oliver Fast Hinz +2 more

There are signs that we are approaching a technical revolution that might take humankind’s computational capabilities to a new level. Quantum Computing leverages the principles of quantum mechanics, enabling the computational power to solve specific problems currently intractable for classical computers (e.g., cracking cryptographic keys). Since we are getting to a point where we can no longer build smaller, more powerful, more efficient devices with conventional methodologies, we need to think of new ways for technological progress. The manufacturing of microchips is reaching its limits in the use of traditional architectures. Hence, new and more advanced technologies need to address the challenges of increasing energy consumption and data processing. Connectivity, scalable architectures and concepts like Cloud Computing and Software-as-a-Service have already helped to scale computational-intense applications in the last years and have attracted the interest of IS researchers (e.g., Benlian et al. 2009 ; Benlian et al. 2018 ; Messerschmidt and Hinz 2013 ). Looking ahead to the next generation, computing will comprise technologies that enable high-performance applications far beyond today’s possibilities. One prominent example with a disruptive potential is Quantum Computing. While there are abundant open questions and directions for further developments, researchers in this area have made substantial progress in the last decade, indicating that, after medical imaging, lasers, and superconductors, another quantum-technological innovation might be approaching. We, therefore, intend to provide an overview of the current state of Quantum Computing research and outline how this new technology might stimulate research in Information Systems.

Business & Information Systems Engineering•Jul 17, 2023•26 citations
Quantum computing has attracted considerable interest in the past decade as a possible way to deal with certain intractable problems of conventional digital computing. Quantum computers built using the versatile methods of solid-state technology are attractive because the many thousands of devices needed for such a computer could be fabricated with well-established technologies. However, the imperfections of solid-state devices constructed in laboratories and factories will limit the use of solid-state devices in quantum computing. The challenge for solid-state quantum computing is to find a. way to use devices without precise knowledge of their physical characteristics.
The computer industry has followed Moore's Law closely and faithfully over the past few decades. However, transistors cannot continue to shrink at their current rate forever, and new methods of computation must be explored. Quantum computation is one such method that has received much attention over the past few years and will heavily rely on technological advances in the smart electronics and nanotechnology arena. In this review, we will present some of the problems facing classical computers and why quantum computers may be a viable alternative. We will briefly describe some of the "killer" quantum applications, such as Deutsch's, Shor's and Grover's algorithms that demonstrate the computational powers of quantum computation. Kane's solid state quantum computer in silicon promises to demonstrate some of these applications. However there remain many significant technological difficulties which will need to be overcome if we are to see a useful quantum computer. The main technological challenges, for Kane's solid-state computer, of interest to the smart materials and structures community, will be highlighted.
Quantum computers have the potential to solve certain problems much faster than any classical computer. For instance, present-day computers would take longer than the age of the universe to factorize a 1000-bit number. A quantum computer could do it in a few seconds. These theoretical possibilities have stimulated a large amount of experimental research on the various technologies that might be used to actually build a quantum computer. Yasunoba Nakamura and colleagues at the NEC Fundamental Research Laboratories in Tsukuba and the Japan Science and Technology Corporation in Kawaguchi recently demonstrated for the first time some of the techniques that would be needed to build a computer using a solid-state device (Y Nakamura, Yu A Pashkin and J S Tsai 1999 Nature 398 786).
Electronic systems that contain a large number of solid-state devices must deal with the fact that there are likely to be differences between nominally identical components. Methods for manufacturing solid-state devices do not produce highly reproducible products, and solid-state devices change with age and use. Quantum computing systems propose to use the same binary digital language to represent information and describe operations. However, quantum computing is not truly digital; each qubit supplies a signal that depends on its properties rather than being obtained from some standard that is known throughout the system to which it belongs. Quantum computing hardware does not form zeros and ones in some standard way that insures that a signal will be properly interpreted in another place in the system to which it belongs. This absence of a way to produce a truly digital signal leaves quantum logic at the mercy of variability in devices.
Quantum computing hardware technologies have advanced during the past two decades, with the goal of building systems that can solve problems that are intractable on classical computers. The ability to realize large-scale systems depends on major advances in materials science, materials engineering, and new fabrication techniques. We identify key materials challenges that currently limit progress in five quantum computing hardware platforms, propose how to tackle these problems, and discuss some new areas for exploration. Addressing these materials challenges will require scientists and engineers to work together to create new, interdisciplinary approaches beyond the current boundaries of the quantum computing field.
Traditional approaches to computing based on nanoelectronics will likely need to embrace quantum phenomena over the coming decade with the trend toward decreasing on-chip feature sizes. Concurrently, as resonant tunneling and single-electron-based quantum devices become more prevalent, one can expect quantum computing and quantum information based on appropriate isolated and coupled low-dimensional semiconducting systems to attract more attention. We report on work aimed at understanding the limitations on how to implement practical quantum information systems that counter the natural effects of decoherence and offer suitable approaches to control of such systems. The emphasis in this paper is on open systems. We close the paper with some remarks on possible practical schemes for fabricating such systems and identify some of the challenges that lie ahead in realizing these schemes.
There are signs that we are approaching a technical revolution that might take humankind’s computational capabilities to a new level. Quantum Computing leverages the principles of quantum mechanics, enabling the computational power to solve specific problems currently intractable for classical computers (e.g., cracking cryptographic keys). Since we are getting to a point where we can no longer build smaller, more powerful, more efficient devices with conventional methodologies, we need to think of new ways for technological progress. The manufacturing of microchips is reaching its limits in the use of traditional architectures. Hence, new and more advanced technologies need to address the challenges of increasing energy consumption and data processing. Connectivity, scalable architectures and concepts like Cloud Computing and Software-as-a-Service have already helped to scale computational-intense applications in the last years and have attracted the interest of IS researchers (e.g., Benlian et al. 2009 ; Benlian et al. 2018 ; Messerschmidt and Hinz 2013 ). Looking ahead to the next generation, computing will comprise technologies that enable high-performance applications far beyond today’s possibilities. One prominent example with a disruptive potential is Quantum Computing. While there are abundant open questions and directions for further developments, researchers in this area have made substantial progress in the last decade, indicating that, after medical imaging, lasers, and superconductors, another quantum-technological innovation might be approaching. We, therefore, intend to provide an overview of the current state of Quantum Computing research and outline how this new technology might stimulate research in Information Systems.