Quantum information processing with superconducting circuits: a review

By Göran Wendin. Reports on progress in physics. Physical Society, 2016

894 citations recorded by the source corpus.

During the last ten years, superconducting circuits have passed from being interesting physical devices to becoming contenders for near-future useful and scalable quantum information processing (QIP). Advanced quantum simulation experiments have been shown with up to nine qubits, while a demonstration of quantum supremacy with fifty qubits is anticipated in just a few years. Quantum supremacy means that the quantum system can no longer be simulated by the most powerful classical supercomputers. Integrated classical-quantum computing systems are already emerging that can be used for software development and experimentation, even via web interfaces. Therefore, the time is ripe for describing some of the recent development of superconducting devices, systems and applications. As such, the discussion of superconducting qubits and circuits is limited to devices that are proven useful for current or near future applications. Consequently, the centre of interest is the practical applications of QIP, such as computation and simulation in Physics and Chemistry.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/3b1fab96da9fe1b60f51459acf173b8327074c85

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Citations in the corpus

Coherent Conversion Between Microwave and Optical Photons—An Overview of Physical Implementations (2019, neutral): “Many promising solid state implementations of qubits have been demonstrated, including superconducting qubits of diverse flavours [2, 3], spin qubits [4, 5], and”
Random Quantum Circuits (2022, background): “qubits (36, 37), involves the discrete-time evolution of constituent qubits through the application of unitary operations, measurements, and feedback.”
Circuit quantum electrodynamics (2020, background): “…of light-matter interaction, in the development of quantum information processing technology (Blais et al., 2020; Clarke and Wilhelm, 2008; Kjaergaard et al., 2019; Krantz et al., 2019; Wendin, 2017), and in the exploration of novel hybrid quantum systems (Clerk et al., 2020; Xiang et al., 2013).”
Superconducting quantum computing: a review (2020, background): “Quantum computers can be implemented with a variety of quantum systems, such as trapped ions [19, 20], superconducting qubits [21–28], photons [7–11], and silicon [29, 30].”
Quantum algorithms to simulate many-body physics of correlated fermions. (2017, neutral): “interactions which can be implemented efficiently with superconducting qubits [46].”
Electric field spectroscopy of material defects in transmon qubits (2019, background): “Superconducting qubits are implemented from resonant modes in non-linear electric microcircuits tailored from superconducting inductors, capacitors, and Josephson tunnel junctions [1, 2].”
Leakage reduction in fast superconducting qubit gates via optimal control (2020, background): “Superconducting qubits are a promising candidate to realize large scale quantum computing systems [1–3].”
Shortcuts to adiabaticity: Concepts, methods, and applications (2019, background): “Superconducting circuits have recently made rapid progresses and become a forefront architecture towards quantum technologies (Wendin, 2017).”
Quantum error correction: an introductory guide (2019, background): “The [[13, 1, 3]] code is the smallest surface code capable of detecting and correcting errors.”
Cavity magnonics (2021, methodology): “The quantum manipulation of single atoms in photonic resonators may lead to applications (Georgescu and Nori, 2012) such as quantum information processing (Blais et al., 2020; Wendin, 2017) and sensing (Degen et al., 2017).”