Search Results for “Scalable Neural Network Decoders\\ for Higher Dimensional Quantum Codes”

A scalable and fast artificial neural network syndrome decoder for surface codes

Spiro Gicev, Lloyd C. L. Hollenberg, and Muhammad Usman,

Quantum 7, 1058 (2023).

Surface code error correction offers a highly promising pathway to achieve scalable fault-tolerant quantum computing. When operated as stabilizer codes, surface code computations consist of…

Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer

J. Eli Bourassa, Rafael N. Alexander, Michael Vasmer, Ashlesha Patil, Ilan Tzitrin, Takaya Matsuura, Daiqin Su, Ben Q. Baragiola, Saikat Guha, Guillaume Dauphinais, Krishna K. Sabapathy, Nicolas C. Menicucci, and Ish Dhand,

Quantum 5, 392 (2021).

Photonics is the platform of choice to build a modular, easy-to-network quantum computer operating at room temperature. However, no concrete architecture has been presented so far that explo…

Optimizing Quantum Error Correction Codes with Reinforcement Learning

Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko, Hans J. Briegel, and Nicolai Friis,

Quantum 3, 215 (2019).

Quantum error correction is widely thought to be the key to fault-tolerant quantum computation. However, determining the most suited encoding for unknown error channels or specific laborator…

q-2023-07-12-1058.pdf

A scalable and fast artificial neural network syndrome decoder for surface codes Spiro Gicev1, Lloyd C.L. Hollenberg1, and Muhammad Usman1,2,3 1Center for Quantum Computation and Communication Technology, School of Physics,…

Efficient color code decoders in $d\geq 2$ dimensions from toric code decoders

Aleksander Kubica and Nicolas Delfosse,

Quantum 7, 929 (2023).

We introduce an efficient decoder of the color code in $d\geq 2$ dimensions, the Restriction Decoder, which uses any $d$-dimensional toric code decoder combined with a local lifting procedure to…

Actis: A Strictly Local Union–Find Decoder

Tim Chan and Simon C. Benjamin,

Quantum 7, 1183 (2023).

Fault-tolerant quantum computing requires classical hardware to perform the decoding necessary for error correction. The Union–Find decoder is one of the best candidates for this. It has rem…

Scalable Neural Network Decoders for Higher Dimensional Quantum Codes

Nikolas P. Breuckmann and Xiaotong Ni,

Quantum 2, 68 (2018).

Machine learning has the potential to become an important tool in quantum error correction as it allows the decoder to adapt to the error distribution of a quantum chip. An additional motiva…

Neural Network Decoders for Large-Distance 2D Toric Codes

Xiaotong Ni,

Quantum 4, 310 (2020).

We still do not have perfect decoders for topological codes that can satisfy all needs of different experimental setups. Recently, a few neural network based decoders have been studied, with…

Quantum error correction for the toric code using deep reinforcement learning

Philip Andreasson, Joel Johansson, Simon Liljestrand, and Mats Granath,

Quantum 3, 183 (2019).

We implement a quantum error correction algorithm for bit-flip errors on the topological toric code using deep reinforcement learning. An action-value Q-function encodes the discounted value…

q-2019-04-08-131.pdf

…interesting to study local cor- related error events that introduce many stabi- lizer defects. We expect the Metropolis-based de- coders presented in Refs. [56, 72], neural network decoders [81], tensor-network…

Search Results for: Scalable Neural Network Decoders\\ for Higher Dimensional Quantum Codes