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Optics in Computing

Quantum optics and quantum information science

Hideo Mabuchi

Published Jan 1, 2003• 0 citations
Publisher

Abstract

Quantum information science is a rapidly evolving field, and it is still unclear which physical systems will ultimately prove best-suited for the practical implementation of computing and communication technologies. It is quite clear, however, that optical components and methodology will play a central role in the development of quantum communication systems and in the realization of general purpose protocols for quantum measurement and quantum control. In this talk I will review recent work in our group that illustrates these connections between quantum optics and quantum information science. In particular, I will describe our ongoing work on adaptive quantum measurements, quantum feedback control, and the use of photonic bandgap structures for quantum-optical networking.

DOI
10.1364/oc.2003.othc2

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Quantum information science is a rapidly evolving field, and it is still unclear which physical systems will ultimately prove best-suited for the practical implementation of computing and communication technologies. It is quite clear, however, that optical components and methodology will play a central role in the development of quantum communication systems and in the realization of general purpose protocols for quantum measurement and quantum control. In this talk I will review recent work in our group that illustrates these connections between quantum optics and quantum information science. In particular, I will describe our ongoing work on adaptive quantum measurements, quantum feedback control, and the use of photonic bandgap structures for quantum-optical networking.
To advance quantum information science and technologies, a wide variety of quantum machines and protocols are being developed based on different physical systems. Interconnecting these systems is a grand challenge to scale up quantum information architectures. This effort requires to develop specialized photonic devices and capabilities, ranging from efficient photon extraction for qubit connectivity to the implementation of advanced optical memories. In this talk, I will provide an overview of the opportunities presented by networking, including long-distance quantum communications and distributed quantum computing. I will also present our recent experimental demonstrations, which enable the realization of a quantum-bit-encoding converter, the implementation and use of highly-efficient quantum memories based on laser-cooled neutral atoms, and the development of nanophotonic devices for qubit coupling.
To advance quantum information science and technologies, a wide variety of quantum machines and protocols are being developed based on different physical systems. Interconnecting these systems is a grand challenge to scale up quantum information architectures. This effort requires to develop specialized photonic devices and capabilities, ranging from efficient photon extraction for qubit connectivity to the implementation of advanced optical memories. In this talk, I will provide an overview of the opportunities presented by networking, including long-distance quantum communication and distributed quantum computing. I will also present our recent experimental demonstrations, which enable the realization of a quantum-bit-encoding converter, the implementation and use of highly-efficient quantum memories based on laser-cooled neutral atoms, and the development of nanophotonic devices for qubit coupling.
Quantum information science has blossomed into a major research field over the past decade or so. In doing so, it has established links with several other areas of physics, computer science, and engineering. One of these areas is quantum control – the extension of control theory to physical systems whose dynamics are governed by quantum mechanics. Quantum control, like quantum information, is a fairly young field with remarkable technological consequences, and this cross-pollination is proving to be stimulating. In this thesis we explore some of the connections between quantum information and quantum control. In particular, (i) we examine quantum error correction from a quantum feedback control perspective, and demonstrate new continuous time implementations of quantum error correcting codes; (ii) we consider performing quantum feedback control experiments on a solid-state quantum computing architecture – circuit QED – and propose new measurement schemes that would enable such experiments; and (iii) we consider the problem of optimally estimating quantum processes, and in particular, analyze in detail the problem of optimally estimating a one-parameter quantum process.