Neural Network Quantum Decoder

Media Summary: A Pauli noise model assigns each qubit a random (I,X,Y,Z) error drawn from fixed probabilities, which you then split into binary ... Christopher Chubb is a postdoctoral researcher at ETH Zürich. His interests lie in the interface between Sebastian Cammerer (Nvidia) Application-Driven ...

Neural Network Quantum Decoder - Detailed Analysis & Overview

A Pauli noise model assigns each qubit a random (I,X,Y,Z) error drawn from fixed probabilities, which you then split into binary ... Christopher Chubb is a postdoctoral researcher at ETH Zürich. His interests lie in the interface between Sebastian Cammerer (Nvidia) Application-Driven ... Transformers are taking over AI right now, and quite possibly their most famous use is in ChatGPT. ChatGPT uses a specific type ... Talk recorded at EQUIPTNT Workshop, 6. / 7. October , 2025 in Munich ▷Title: The AutDEC In this AI Research Roundup episode, Alex discusses the paper: 'Scalable

Iris Cong, a graduate student at Harvard University, presents to attendees on Day 3 of the Practical S. Miao, A. Schnerring, H. Li and L. Schmalen, " Seminar Series with Michael Gullans Your formal invite to weekly Qiskit videos ▻ Speaker: Michael ...

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Neural Network Quantum Decoder

Christopher Chubb: Tensor network decoding of 2D quantum codes

Graph Neural Networks for Classical and Quantum Channel Coding

Evgenii Egorov (UvA) — An Equivariant Neural Decoder for Quantum Error Correction

Soonwon Choi - Quantum Convolutional Neural Networks

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation

Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

The AutDEC decoder - Improved Belief Propagation by ensembling and code symmetry - Dan Browne (UCL)

Fast CNN Decoders for Quantum Error Correction

Hossein Dehghani: Neural-Network Decoders for Measurement Induced Phase Transitions

Q2B 2019 | Quantum Convolutional Neural Networks | Iris Cong | Harvard

[ITW 2023] Neural belief propagation decoding of quantum LDPC codes using overcomplete check matrice

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Neural Network Quantum Decoder

Neural Network Quantum Decoder

A Pauli noise model assigns each qubit a random (I,X,Y,Z) error drawn from fixed probabilities, which you then split into binary ...

Christopher Chubb: Tensor network decoding of 2D quantum codes

Christopher Chubb: Tensor network decoding of 2D quantum codes

Christopher Chubb is a postdoctoral researcher at ETH Zürich. His interests lie in the interface between

Graph Neural Networks for Classical and Quantum Channel Coding

Graph Neural Networks for Classical and Quantum Channel Coding

Sebastian Cammerer (Nvidia) https://simons.berkeley.edu/talks/sebastian-cammerer-nvidia-2024-03-08 Application-Driven ...

Evgenii Egorov (UvA) — An Equivariant Neural Decoder for Quantum Error Correction

Evgenii Egorov (UvA) — An Equivariant Neural Decoder for Quantum Error Correction

Title: An Equivariant

Soonwon Choi - Quantum Convolutional Neural Networks

Soonwon Choi - Quantum Convolutional Neural Networks

... talk about

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation

Paper: Scalable

Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

Transformers are taking over AI right now, and quite possibly their most famous use is in ChatGPT. ChatGPT uses a specific type ...

The AutDEC decoder - Improved Belief Propagation by ensembling and code symmetry - Dan Browne (UCL)

The AutDEC decoder - Improved Belief Propagation by ensembling and code symmetry - Dan Browne (UCL)

Talk recorded at EQUIPTNT Workshop, 6. / 7. October , 2025 in Munich ▷Title: The AutDEC

Fast CNN Decoders for Quantum Error Correction

Fast CNN Decoders for Quantum Error Correction

In this AI Research Roundup episode, Alex discusses the paper: 'Scalable

Hossein Dehghani: Neural-Network Decoders for Measurement Induced Phase Transitions

Hossein Dehghani: Neural-Network Decoders for Measurement Induced Phase Transitions

Hossein Dehghani presents "

Q2B 2019 | Quantum Convolutional Neural Networks | Iris Cong | Harvard

Q2B 2019 | Quantum Convolutional Neural Networks | Iris Cong | Harvard

Iris Cong, a graduate student at Harvard University, presents to attendees on Day 3 of the Practical

[ITW 2023] Neural belief propagation decoding of quantum LDPC codes using overcomplete check matrice

[ITW 2023] Neural belief propagation decoding of quantum LDPC codes using overcomplete check matrice

S. Miao, A. Schnerring, H. Li and L. Schmalen, "

Neural Network Decoders for Measurement-Induced Phase Transitions with Michael Gullans

Neural Network Decoders for Measurement-Induced Phase Transitions with Michael Gullans

Seminar Series with Michael Gullans Your formal invite to weekly Qiskit videos ▻ https://ibm.biz/q-subscribe Speaker: Michael ...