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Quantum Nanophotonic Materials, Devices, and Systems

Distributed quantum information processing (Conference Presentation)

Kae Nemoto

Published Sep 10, 2019• 0 citations
Publisher

Abstract

This talk explores distributed quantum information processing. In the recent years, the monolithic design of quantum computers has been investigated and huge efforts to realize such designs have been undertaken worldwide. By contrast, distributed quantum information processing relies on quantum signalling between quantum devices and systems. We begin by introducing the concept of distributed quantum information processing, detailing it's advantages and disadvantages. We further discuss the feasibility of quantum devices and systems to perform distributed quantum information processing, including recent developments using NV centers in diamond.

DOI
10.1117/12.2533934

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This talk explores distributed quantum information processing. In the recent years, the monolithic design of quantum computers has been investigated and huge efforts to realize such designs have been undertaken worldwide. By contrast, distributed quantum information processing relies on quantum signalling between quantum devices and systems. We begin by introducing the concept of distributed quantum information processing, detailing it's advantages and disadvantages. We further discuss the feasibility of quantum devices and systems to perform distributed quantum information processing, including recent developments using NV centers in diamond.
Distributed quantum information processing seeks to overcome the scalability limitations of monolithic quantum devices by interconnecting multiple quantum processing nodes via classical and quantum communication. This approach extends the capabilities of individual devices, enabling access to larger problem instances and novel algorithmic techniques. Beyond increasing qubit counts, it also enables qualitatively new capabilities, such as joint measurements on multiple copies of high-dimensional quantum states. The distinction between single-copy and multi-copy access reveals important differences in task complexity and helps identify which computational problems stand to benefit from distributed quantum resources. At the same time, it highlights trade-offs between classical and quantum communication models and the practical challenges involved in realizing them experimentally. In this review, we contextualize recent developments by surveying the theoretical foundations of distributed quantum protocols and examining the experimental platforms and algorithmic applications that realize them in practice.
Distributed quantum information processing seeks to overcome the scalability limitations of monolithic quantum devices by interconnecting multiple quantum processing nodes via classical and quantum communication. This approach extends the capabilities of individual devices, enabling access to larger problem instances and novel algorithmic techniques. Beyond increasing qubit counts, it also enables qualitatively new capabilities, such as joint measurements on multiple copies of high-dimensional quantum states. The distinction between single-copy and multi-copy access reveals important differences in task complexity and helps identify which computational problems stand to benefit from distributed quantum resources. At the same time, it highlights trade-offs between classical and quantum communication models and the practical challenges involved in realizing them experimentally. In this review, we contextualize recent developments by surveying the theoretical foundations of distributed quantum protocols and examining the experimental platforms and algorithmic applications that realize them in practice.
In recent years there has been substantial progress in solid-state quantum information demonstrations based on diamond. This ranges from room-temperature multi-qubit quantum registers to spin-photon entanglement to loophole-free Bell tests. Most of these demonstrations are done with the nitrogen-vacancy (NV) center. Recently however the silicon-vacancy (SiV) center has shown a much better coupling to photons, owing to the suppression of spectral diffusion. Still more recently the germanium-vacancy (GeV) has shown much higher quantum efficiency the SiV. However there are tradeoffs. In this talk I will review the various options for quantum information devices in diamond. I will also discuss new options for the future, including designer color centers made possible by novel diamond growth techniques.
Optically addressable point defects in semiconductors, such as the nitrogen-vacancy (NV) center in diamond, are promising candidates for quantum information processing. However, the NV center suffers from low emission efficiency in the zero-phonon line, a limitation that has motivated the development of alternative defect systems. Since exhaustive experimental discovery is impractical, recent advances have relied on computational methods to analyze defect parameters and design color centers with tailored properties. This perspective reviews recent progress in computational methods for the theoretical characterization of color centers, highlighting workflows and toolkits for their theoretical design, and discusses remaining challenges in the field.
In recent years, NV centers in diamond has attracted significant attention as a candidate for quantum information devices. The negatively charged NV center, in particular, has been intensely investigated [1-3]. NV- centers host both an electron spin qubit and a nitrogen nuclear spin, in our case a nuclear spin-1/2 of 15N is imbedded. The ground state of the electron spin qubit has a long coherence time and an optical transition at 637nm. The nuclear spins may be considered as a long-lived quantum memory, which has been experimentally demonstrated [2]. Because of these preferable quantum properties, NV centers have been considered as a good candidate for implementation of quantum information processing and there has been a number of theoretically propose designs for quantum information processing [3].