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Open AccessJournal ArticleDOI

Efficient distributed quantum computing

TLDR
A parallel quantum search algorithm is presented that can be used by algorithm designers without worrying whether the underlying architecture supports the connectivity of the circuit and improves the time–space trade-off for the element distinctness and collision finding problems.
Abstract
We provide algorithms for efficiently moving and addressing quantum memory in parallel. These imply that the standard circuit model can be simulated with a low overhead by a more realistic model of a distributed quantum computer. As a result, the circuit model can be used by algorithm designers without worrying whether the underlying architecture supports the connectivity of the circuit. In addition, we apply our results to existing memory-intensive quantum algorithms. We present a parallel quantum search algorithm and improve the time–space trade-off for the element distinctness and collision finding problems.

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Citations
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Journal ArticleDOI

Achieving quantum supremacy with sparse and noisy commuting quantum computations

TL;DR: It is shown that purely classical error-correction techniques can be used to design IQP circuits which remain hard to simulate classically, even in the presence of arbitrary amounts of noise of this form.
Journal ArticleDOI

Coherent Conversion Between Microwave and Optical Photons—An Overview of Physical Implementations

TL;DR: In this article, the necessary theoretical foundations for the most important microwave-to-optical conversion experiments are provided, their implementations are described, and the current limitations and future prospects are discussed.
Journal ArticleDOI

Compiling quantum circuits to realistic hardware architectures using temporal planners

TL;DR: In this article, the authors investigate the application of temporal planners to the problem of compiling quantum circuits to newly emerging quantum hardware, focusing on compiling to superconducting hardware architectures with nearest neighbor constraints.
Journal ArticleDOI

Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers

TL;DR: It is argued that to reach this target, the focus should be on areas where ML researchers are struggling, such as generative models in unsupervised and semi-supervised learning, instead of the popular and more tractable supervised learning techniques.
References
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Book

Quantum Computation and Quantum Information

TL;DR: In this article, the quantum Fourier transform and its application in quantum information theory is discussed, and distance measures for quantum information are defined. And quantum error-correction and entropy and information are discussed.
Book

The Art of Computer Programming

TL;DR: The arrangement of this invention provides a strong vibration free hold-down mechanism while avoiding a large pressure drop to the flow of coolant fluid.
Journal ArticleDOI

Quantum computation and quantum information

TL;DR: This special issue of Mathematical Structures in Computer Science contains several contributions related to the modern field of Quantum Information and Quantum Computing, with a focus on entanglement.