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arXiv:quant-ph/0301012 · Physical Review A

Quantum-computer architecture using nonlocal interactions

Gavin K. Brennen, Daegene Song, Carl J. Williams

Published May 27, 2003• 46 citations
arXivHTMLPDF

Abstract

Several authors have described the basic requirements essential to build a scalable quantum computer. Because many physical implementation schemes for quantum computing rely on nearest-neighbor interactions, there is a hidden quantum communication overhead to connect distant nodes of the computer. In this paper, we propose a physical solution to this problem, which, together with the key building blocks, provides a pathway to a scalable quantum architecture using nonlocal interactions. Our solution involves the concept of a quantum bus that acts as a refreshable entanglement resource to connect distant memory nodes, providing an architectural concept for quantum computers analogous to the von Neumann architecture for classical computers.

DOI
10.1103/physreva.67.050302

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Several authors have described the basic requirements essential to build a scalable quantum computer. Because many physical implementation schemes for quantum computing rely on nearest-neighbor interactions, there is a hidden quantum communication overhead to connect distant nodes of the computer. In this paper, we propose a physical solution to this problem, which, together with the key building blocks, provides a pathway to a scalable quantum architecture using nonlocal interactions. Our solution involves the concept of a quantum bus that acts as a refreshable entanglement resource to connect distant memory nodes, providing an architectural concept for quantum computers analogous to the von Neumann architecture for classical computers.
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Abstract So far, superconducting quantum computers have certain constraints on qubit connectivity, such as nearest-neighbor couplings. To overcome this limitation, we propose a scalable architecture to simultaneously connect several pairs of distant qubits via a dispersively coupled quantum bus. The building block of the bus is composed of orthogonal coplanar waveguide resonators connected through ancillary flux qubits working in the ultrastrong coupling regime. This regime activates virtual processes that boost the effective qubit–qubit interaction, which results in quantum gates on the nanosecond timescale. The interaction is switchable and preserves the coherence of the qubits.
The existence of universal quantum computers has been theoretically well established. However, building up a real quantum computer system not only relies on the theory of universality, but also needs methods to satisfy requirements on other features, such as programmability, modularity, scalability, etc. To this end, here we study the recently proposed model of quantum von Neumann architecture by putting it in a practical and broader setting, namely, the hierarchical design of a computer system. We analyze the structures of quantum CPU and quantum control units and draw their connections with computational advantages. We also point out that a recent demonstration of our model would require less than 20 qubits.
We present here a new approach to scalable quantum computing—a 'qubus computer'—which realizes qubit measurement and quantum gates through interacting qubits with a quantum communication bus mode. The qubits could be 'static' matter qubits or 'flying' optical qubits, but the scheme we focus on here is particularly suited to matter qubits. There is no requirement for direct interaction between the qubits. Universal two-qubit quantum gates may be effected by schemes which involve measurement of the bus mode, or by schemes where the bus disentangles automatically and no measurement is needed. In effect, the approach integrates together qubit degrees of freedom for computation with quantum continuous variables for communication and interaction.
This paper proposes a novel distributed computing accelerator leveraging quantum entanglement for significantly enhanced performance. The core idea is to utilize the instantaneous correlation inherent in entangled quantum states to facilitate rapid data sharing and computation across geographically distant nodes. The system architecture consists of a network of interconnected nodes, each comprising a quantum memory and a quantum processor. Quantum information is encoded into entangled states and transmitted between nodes, bypassing the limitations of classical communication channels. We explore the theoretical potential of this approach to overcome bandwidth bottlenecks and latency issues prevalent in traditional distributed computing, paving the way for ultra-fast distributed computation. The system utilizes entanglement coding techniques for efficient data transmission and proposes a framework for scalable quantum distributed computing. The key contributions lie in the conceptual design of an entanglement-based distributed computing architecture and the exploration of the fundamental advantages offered by quantum correlations. The proposed accelerator addresses critical challenges in high-performance computing, particularly in scenarios demanding rapid data processing across large, distributed systems. Mathematical notation and key formulas are presented throughout to illustrate the core concepts and principles.
This paper explores a novel approach to achieving high-fidelity and scalable quantum computation through heterogeneous qubit connectivity within a topological quantum computing framework. The core challenge in topological quantum computing lies in effectively connecting qubits of diverse types – differing in their physical realization and control mechanisms – to enable complex quantum algorithms. This work proposes a system leveraging topological networks to establish these connections, capitalizing on quantum entanglement to facilitate information transfer and control across disparate qubit architectures. The proposed method addresses a critical bottleneck in the development of topological quantum computers by offering a fundamentally new strategy for heterogeneous qubit integration. The theoretical framework presented outlines the key principles and potential advantages of this approach, emphasizing the realization of robust, scalable, and versatile quantum systems. We detail the conceptual design, focusing on entanglement distribution and error mitigation strategies specific to this architecture. The ultimate goal is to demonstrate a pathway towards building quantum computers capable of tackling complex problems requiring diverse qubit capabilities.