Project

Learning Local Gibbs States from Noisy Shallow Quantum Circuits

Computational research project exploring how noise affects thermal quantum states prepared by shallow circuits.

PythonQuimbTensor NetworksStatistics

Problem

Understand how different noise mechanisms impact the structure of Gibbs states generated by local, shallow quantum circuits.

Approach

Used tensor network methods via the Quimb library to simulate noisy quantum circuits and study their output states. Focused primarily on depolarizing noise, with discussion of amplitude damping.

Validation

While full validation was not possible, I performed extensive sanity checks and consistency comparisons to build confidence in the observed behavior.

Outcome

A 40-page master’s thesis and an original conjecture relating noise strength to thermal state structure.

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