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Fault-tolerant quantum error detection.

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TLDR
In this paper, the authors show the encoding and syndrome measurement of a fault-tolerant logical qubit via an error detection protocol on four physical qubits, represented by trapped atomic ions.
Abstract
Quantum computers will eventually reach a size at which quantum error correction becomes imperative. Quantum information can be protected from qubit imperfections and flawed control operations by encoding a single logical qubit in multiple physical qubits. This redundancy allows the extraction of error syndromes and the subsequent detection or correction of errors without destroying the logical state itself through direct measurement. We show the encoding and syndrome measurement of a fault-tolerantly prepared logical qubit via an error detection protocol on four physical qubits, represented by trapped atomic ions. This demonstrates the robustness of a logical qubit to imperfections in the very operations used to encode it. The advantage persists in the face of large added error rates and experimental calibration errors.

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Citations
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Journal ArticleDOI

Trapped-ion quantum computing: Progress and challenges

TL;DR: In this article, the authors review the state of the field of trapped ion quantum computing and discuss what is being done, and what may be required, to increase the scale of trapped ions quantum computers while mitigating decoherence and control errors.
Journal ArticleDOI

Trapped-Ion Quantum Computing: Progress and Challenges

TL;DR: The state of the field is reviewed, covering the basics of how trapped ions are used for QC and their strengths and limitations as qubits and the outlook for trapped-ion QC is explored.
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Efficient learning of quantum noise

TL;DR: In this article, the authors describe a protocol for the reliable, efficient and precise characterization of quantum noise in an architecture consisting of 14 superconducting qubits, and report its experimental implementation on a 14-qubit quantum architecture.
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Programming languages and compiler design for realistic quantum hardware

TL;DR: The challenge is to find abstractions that expose key details while hiding enough complexity in quantum toolflows to bridge the gap between hardware size and reliability requirements of quantum computing algorithms and physical machines foreseen within the next ten years.
References
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Journal ArticleDOI

Scheme for reducing decoherence in quantum computer memory

TL;DR: In the mid-1990s, theorists devised methods to preserve the integrity of quantum bits\char22{}techniques that may become the key to practical quantum computing on a large scale.
Book

Quantum Computation and Quantum Information: 10th Anniversary Edition

TL;DR: Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering.
Journal ArticleDOI

Good quantum error-correcting codes exist

TL;DR: The techniques investigated in this paper can be extended so as to reduce the accuracy required for factorization of numbers large enough to be difficult on conventional computers appears to be closer to one part in billions.
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Multiple particle interference and quantum error correction

TL;DR: In this article, the concept of multiple particle interference is discussed, using insights provided by the classical theory of error correcting codes, leading to a discussion of error correction in a quantum communication channel or a quantum computer.
Journal ArticleDOI

Quantum computing with realistically noisy devices

TL;DR: This work reports a simple architecture for fault-tolerant quantum computing, providing evidence that accurate quantum computing is possible for EPGs as high as three per cent, and shows that non-trivial quantum computations at EPG’s of as low as one per cent could be implemented.
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