A Quantum von Neumann Architecture for Large-Scale Quantum Computing

Abstract

As the size of quantum systems becomes bigger, more complicated hardware is required to control these systems. In order to reduce the complexity, I discuss the amount of parallelism required for a fault-tolerant quantum computer and what computation speed can be achieved in different architectures. To build a large-scale quantum computer, one can use architectural principles, from classical computer architecture, like multiplexing or pipelining. In this document, a Quantum von Neumann architecture is introduced which uses specialized hardware for the different tasks of a quantum computer, like computation or storage. Furthermore, it requires long qubit coherence and the capability to move quantum information between the different parts of the quantum computer. As an example, a Quantum von Neumann architecture for trapped ions is presented which incorporates multiplexing in the memory region for large-scale quantum computation. To illustrate the capability of this architecture, a model trapped ion quantum computer based on Quantum von Neumann architecture, the Quantum 4004, is introduced. Its hardware is optimized for simplicity and uses the classical Intel 4004 CPU from 1971 as a blueprint. The Quantum 4004 has only a single processing zone and is structured in 4 qubit packages. Its quantum memory can store up to 32768 qubit ions and its computation speed is 10 $\mu$s for single qubit operations and 20 $\mu$s for two-qubit operations.

5 supplementary animated GIFs

References in corpus (12)

• Charge insensitive qubit design derived from the Cooper pair box
• Demonstration of a small programmable quantum computer with atomic qubits
• Interfacing spin qubits in quantum dots and donors - hot, dense and coherent
• Tunable ion-photon entanglement in an optical cavity
• Suppression of Heating Rates in Cryogenic Surface-Electrode Ion Traps
• Errors in trapped-ion quantum gates due to spontaneous photon scattering
• A long-lived Zeeman trapped-ion qubit
• Optimal control of entangling operations for trapped ion quantum computing
• Compiling quantum algorithms for architectures with multi-qubit gates
• UV-sensitive superconducting nanowire single photon detectors for integration in an ion trap
• Cryogenic silicon surface ion trap
• Improved superconducting qubit coherence with high-temperature substrate annealing

Cited by in corpus (5)

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