Quantum error correction for realistic noise
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Updated
May 20, 2024 - Python
Quantum error correction for realistic noise
As a part of Quantum error correction review project, we explored tensor network codes (TNC). TNC has diverse nad promising use in quantum error correcting codes. It is powerful tools to design larger stabilizer codes, estimating code distance and maximum likelihood decoding.
A quantum circuit simulator, with random error generated in each time frame
A viterbi decoding method able to decode both qubit error and syndrome error
Implementing the 7-qubit Quantum Error Correcting Code in Qiskit
Quantum Error Correction Simulations
All files and folders related to work and contributions made for QuantumClifford.jl
A version of minimum weight decoder, apply to both classical and quantum code
Implementations of various quantum error correction schemes using QuTiP
A benchmark for CNOT gates
Quantum Error Correction paper I wrote for the course Quantum Software Development at the Munich University of Applied Sciences
Building a noise model for simulating a Qiskit quantum circuit in the presence of errors.
Utilizing Transformers to correct errors in quantum circuits.
Solutions for IBM Quantum Challenge 2021 (iqc2021)
Static and dynamic surface code simulations for quantum error correction. This was my master's thesis project while I was a student at AFIT.
Qiskit implementation of Quantum computing terminologies using Quantum algorithms and gates
Generate animation of a few different tree cluster states for visualisation purpose using Manim (Community edition).
MITS, a new methodology to optimize surface code implementations by predicting ideal distance and rounds given target logical error rates and known physical noise levels of the hardware.
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