The Experts below are selected from a list of 20922 Experts worldwide ranked by ideXlab platform
Yoshihisa Yamamoto - One of the best experts on this subject based on the ideXlab platform.
-
Layered Architecture for quantum computing
Physical Review X, 2012Co-Authors: Cody N Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:Physicists and computer scientists join force in this audacious paper to draw up a paradigmatic blueprint for the Architecture of large-scale quantum computers.
-
Layered Architecture for quantum computing
Physical Review X, 2012Co-Authors: N. Cody Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:We develop a Layered quantum computer Architecture, which is a systematic framework for tackling the individual challenges of developing a quantum computer while constructing a cohesive device design. We discuss many of the prominent techniques for implementing circuit-model quantum computing and introduce several new methods, with an emphasis on employing surface code quantum error correction. In doing so, we propose a new quantum computer Architecture based on optical control of quantum dots. The timescales of physical hardware operations and logical, error-corrected quantum gates differ by several orders of magnitude. By dividing functionality into layers, we can design and analyze subsystems independently, demonstrating the value of our Layered architectural approach. Using this concrete hardware platform, we provide resource analysis for executing fault-tolerant quantum algorithms for integer factoring and quantum simulation, finding that the quantum dot Architecture we study could solve such problems on the timescale of days.
-
a Layered Architecture for quantum computing using quantum dots
2010Co-Authors: Cody N Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:We address the challenge of designing a quantum computer Architecture with a Layered framework that is modular and facilitates faulttolerance. The framework is flexible and could be used for analysis and comparison of differing quantum computer designs. Using this framework, we develop a complete, Layered Architecture for quantum computing with optically controlled quantum dots, showing how a myriad of technologies must operate synchronously to achieve fault-tolerance. Our design deliberately takes advantage of the large possibilities for integration afforded by semiconductor fabrication. Quantum information is stored in the electron spin states of a charged quantum dot controlled by ultrafast optical pulses. Optical control makes this system very fast, scalable to large problem sizes, and extensible to quantum communication or distributed Architectures. The design of this quantum computer centers on error correction in the form of a topological surface code, which requires only local and nearest-neighbor gates. We analyze several important issues of the surface code that are relevant to an Architecture, such as resource accounting and the use of Pauli frames. Furthermore, we investigate the performance of this system and find that Shor’s factoring algorithm for a 2048-bit number can be executed in approximately one week. PACS numbers: 03.67.Pp, 03.67.Lx, 85.35.Be, 73.21.La, 85.40.Hp
Thaddeus D. Ladd - One of the best experts on this subject based on the ideXlab platform.
-
Layered Architecture for quantum computing
Physical Review X, 2012Co-Authors: Cody N Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:Physicists and computer scientists join force in this audacious paper to draw up a paradigmatic blueprint for the Architecture of large-scale quantum computers.
-
Layered Architecture for quantum computing
Physical Review X, 2012Co-Authors: N. Cody Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:We develop a Layered quantum computer Architecture, which is a systematic framework for tackling the individual challenges of developing a quantum computer while constructing a cohesive device design. We discuss many of the prominent techniques for implementing circuit-model quantum computing and introduce several new methods, with an emphasis on employing surface code quantum error correction. In doing so, we propose a new quantum computer Architecture based on optical control of quantum dots. The timescales of physical hardware operations and logical, error-corrected quantum gates differ by several orders of magnitude. By dividing functionality into layers, we can design and analyze subsystems independently, demonstrating the value of our Layered architectural approach. Using this concrete hardware platform, we provide resource analysis for executing fault-tolerant quantum algorithms for integer factoring and quantum simulation, finding that the quantum dot Architecture we study could solve such problems on the timescale of days.
-
a Layered Architecture for quantum computing using quantum dots
2010Co-Authors: Cody N Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:We address the challenge of designing a quantum computer Architecture with a Layered framework that is modular and facilitates faulttolerance. The framework is flexible and could be used for analysis and comparison of differing quantum computer designs. Using this framework, we develop a complete, Layered Architecture for quantum computing with optically controlled quantum dots, showing how a myriad of technologies must operate synchronously to achieve fault-tolerance. Our design deliberately takes advantage of the large possibilities for integration afforded by semiconductor fabrication. Quantum information is stored in the electron spin states of a charged quantum dot controlled by ultrafast optical pulses. Optical control makes this system very fast, scalable to large problem sizes, and extensible to quantum communication or distributed Architectures. The design of this quantum computer centers on error correction in the form of a topological surface code, which requires only local and nearest-neighbor gates. We analyze several important issues of the surface code that are relevant to an Architecture, such as resource accounting and the use of Pauli frames. Furthermore, we investigate the performance of this system and find that Shor’s factoring algorithm for a 2048-bit number can be executed in approximately one week. PACS numbers: 03.67.Pp, 03.67.Lx, 85.35.Be, 73.21.La, 85.40.Hp
Xiulei Liu - One of the best experts on this subject based on the ideXlab platform.
-
Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects
IEEE Access, 2016Co-Authors: Omprakash Kaiwartya, Ayman Altameem, Chin-teng Lin, Mukesh Prasad, Abdul Hanan Abdullah, Yue Cao, Xiulei LiuAbstract:Internet of Things is smartly changing various existing research areas into new themes, including smart health, smart home, smart industry, and smart transport. Relying on the basis of “smart transport,” Internet of Vehicles (IoV) is evolving as a new theme of research and development from vehicular ad hoc networks (VANETs). This paper presents a comprehensive framework of IoV with emphasis on Layered Architecture, protocol stack, network model, challenges, and future aspects. Specifically, following the background on the evolution of VANETs and motivation on IoV an overview of IoV is presented as the heterogeneous vehicular networks. The IoV includes five types of vehicular communications, namely, vehicle-to-vehicle, vehicle-to-roadside, vehicle-to-infrastructure of cellular networks, vehicle-to-personal devices, and vehicle-to-sensors. A five Layered Architecture of IoV is proposed considering functionalities and representations of each layer. A protocol stack for the Layered Architecture is structured considering management, operational, and security planes. A network model of IoV is proposed based on the three network elements, including cloud, connection, and client. The benefits of the design and development of IoV are highlighted by performing a qualitative comparison between IoV and VANETs. Finally, the challenges ahead for realizing IoV are discussed and future aspects of IoV are envisioned.
Austin G. Fowler - One of the best experts on this subject based on the ideXlab platform.
-
Layered Architecture for quantum computing
Physical Review X, 2012Co-Authors: Cody N Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:Physicists and computer scientists join force in this audacious paper to draw up a paradigmatic blueprint for the Architecture of large-scale quantum computers.
-
Layered Architecture for quantum computing
Physical Review X, 2012Co-Authors: N. Cody Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:We develop a Layered quantum computer Architecture, which is a systematic framework for tackling the individual challenges of developing a quantum computer while constructing a cohesive device design. We discuss many of the prominent techniques for implementing circuit-model quantum computing and introduce several new methods, with an emphasis on employing surface code quantum error correction. In doing so, we propose a new quantum computer Architecture based on optical control of quantum dots. The timescales of physical hardware operations and logical, error-corrected quantum gates differ by several orders of magnitude. By dividing functionality into layers, we can design and analyze subsystems independently, demonstrating the value of our Layered architectural approach. Using this concrete hardware platform, we provide resource analysis for executing fault-tolerant quantum algorithms for integer factoring and quantum simulation, finding that the quantum dot Architecture we study could solve such problems on the timescale of days.
-
a Layered Architecture for quantum computing using quantum dots
2010Co-Authors: Cody N Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:We address the challenge of designing a quantum computer Architecture with a Layered framework that is modular and facilitates faulttolerance. The framework is flexible and could be used for analysis and comparison of differing quantum computer designs. Using this framework, we develop a complete, Layered Architecture for quantum computing with optically controlled quantum dots, showing how a myriad of technologies must operate synchronously to achieve fault-tolerance. Our design deliberately takes advantage of the large possibilities for integration afforded by semiconductor fabrication. Quantum information is stored in the electron spin states of a charged quantum dot controlled by ultrafast optical pulses. Optical control makes this system very fast, scalable to large problem sizes, and extensible to quantum communication or distributed Architectures. The design of this quantum computer centers on error correction in the form of a topological surface code, which requires only local and nearest-neighbor gates. We analyze several important issues of the surface code that are relevant to an Architecture, such as resource accounting and the use of Pauli frames. Furthermore, we investigate the performance of this system and find that Shor’s factoring algorithm for a 2048-bit number can be executed in approximately one week. PACS numbers: 03.67.Pp, 03.67.Lx, 85.35.Be, 73.21.La, 85.40.Hp
Jungsang Kim - One of the best experts on this subject based on the ideXlab platform.
-
Layered Architecture for quantum computing
Physical Review X, 2012Co-Authors: Cody N Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:Physicists and computer scientists join force in this audacious paper to draw up a paradigmatic blueprint for the Architecture of large-scale quantum computers.
-
Layered Architecture for quantum computing
Physical Review X, 2012Co-Authors: N. Cody Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:We develop a Layered quantum computer Architecture, which is a systematic framework for tackling the individual challenges of developing a quantum computer while constructing a cohesive device design. We discuss many of the prominent techniques for implementing circuit-model quantum computing and introduce several new methods, with an emphasis on employing surface code quantum error correction. In doing so, we propose a new quantum computer Architecture based on optical control of quantum dots. The timescales of physical hardware operations and logical, error-corrected quantum gates differ by several orders of magnitude. By dividing functionality into layers, we can design and analyze subsystems independently, demonstrating the value of our Layered architectural approach. Using this concrete hardware platform, we provide resource analysis for executing fault-tolerant quantum algorithms for integer factoring and quantum simulation, finding that the quantum dot Architecture we study could solve such problems on the timescale of days.
-
a Layered Architecture for quantum computing using quantum dots
2010Co-Authors: Cody N Jones, Rodney Van Meter, Jungsang Kim, Thaddeus D. Ladd, Peter L Mcmahon, Austin G. Fowler, Yoshihisa YamamotoAbstract:We address the challenge of designing a quantum computer Architecture with a Layered framework that is modular and facilitates faulttolerance. The framework is flexible and could be used for analysis and comparison of differing quantum computer designs. Using this framework, we develop a complete, Layered Architecture for quantum computing with optically controlled quantum dots, showing how a myriad of technologies must operate synchronously to achieve fault-tolerance. Our design deliberately takes advantage of the large possibilities for integration afforded by semiconductor fabrication. Quantum information is stored in the electron spin states of a charged quantum dot controlled by ultrafast optical pulses. Optical control makes this system very fast, scalable to large problem sizes, and extensible to quantum communication or distributed Architectures. The design of this quantum computer centers on error correction in the form of a topological surface code, which requires only local and nearest-neighbor gates. We analyze several important issues of the surface code that are relevant to an Architecture, such as resource accounting and the use of Pauli frames. Furthermore, we investigate the performance of this system and find that Shor’s factoring algorithm for a 2048-bit number can be executed in approximately one week. PACS numbers: 03.67.Pp, 03.67.Lx, 85.35.Be, 73.21.La, 85.40.Hp
