Open AccessPosted Content
A primer on surface codes: Developing a machine language for a quantum computer
Austin G. Fowler,Matteo Mariantoni,J.M. Martinis,Andrew Cleland +3 more
- 04 Aug 2012
TL;DR: In this paper, the size and speed of a surface code quantum computer with two qubits are estimated. But the size of the surface code has not yet been shown to be a function of the number of qubits.
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Abstract: This article provides an introduction to surface code quantum computing. We first estimate the size and speed of a surface code quantum computer. We then introduce the concept of the stabilizer, using two qubits, and extend this concept to stabilizers acting on a two-dimensional array of physical qubits, on which we implement the surface code. We next describe how logical qubits are formed in the surface code array and give numerical estimates of their fault-tolerance. We outline how logical qubits are physically moved on the array, how qubit braid transformations are constructed, and how a braid between two logical qubits is equivalent to a controlled-NOT. We then describe the single-qubit Hadamard, S and T operators, completing the set of required gates for a universal quantum computer. We conclude by briefly discussing physical implementations of the surface code. We include a number of appendices in which we provide supplementary information to the main text.
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Citations
Topological code Autotune
TL;DR: In this article, a software-based tool transforms the so-far extremely laborious task of optimizing real quantum-computing hardware for topological error correction into a highly automated and efficient one for a broad range of hardware platforms.
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Topological code Autotune
TL;DR: Autotune is designed to facilitate the precise study of real hardware running TQEC with every quantum gate having a realistic, physics-based error model, and is described a tool Autotune capable of performing this optimization automatically.
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•Posted Content
Quantum circuit optimization by topological compaction in the surface code
Adam Paetznick,Austin G. Fowler +1 more
TL;DR: This work examines the problem of minimizing computation time on a two-dimensional qubit lattice of arbitrary, but fixed dimension, and proposes two algorithms for doing so.
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•Posted Content
Universal quantum simulation with prethreshold superconducting qubits: Single-excitation subspace method
Michael R. Geller,John M. Martinis,Andrew T. Sornborger,Phillip C. Stancil,Emily J. Pritchett,Hao You,Hao You,Andrei Galiautdinov +7 more
TL;DR: In this paper, the authors propose an alternative method for general-purpose quantum computation that is ideally suited for such "prethreshold" superconducting hardware, and demonstrate how to use a programmable single-excitation subspace (SES) chip to perform fast amplitude amplification and phase estimation, two versatile quantum subalgorithms.
21
•Journal Article
Resource optimization for fault-tolerant quantum computing
TL;DR: This thesis shows how to simplify universal encoded computation by using only transversal gates and standard error correction procedures, circumventing existing no-go theorems and finds that by using a special class of non-deterministic circuits, the cost of decomposition can be reduced by as much as a factor of four over state-of-the-art techniques, which typically use deterministic circuits.
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