3 papers
quant-ph2025
Geometric Parameterization of Kraus Operators with Applications to Quasi Inverse Channels for Multi Qubit Systems
Zain Ateeq, Muhammad Faryad
This work presents a differentiable geometric parameterization of quantum channels in Kraus representation, which can be efficiently probed to find an unknown quantum channel. We e…
quant-ph2025
Analysis of the Bernstein--Vazirani Algorithm in the presence of Pauli Noise
Muhammad Faizan, Muhammad Faryad
We analytically investigate the robustness of the Bernstein--Vazirani algorithm in the presence of bit flip, phase flip, and depolarizing noise using the density matrix formalism.…
quant-ph2025
Physics-inspired neural networks as quasi inverse of quantum channels
Sameen Aziz, Muhammad Faryad
Quantum channels are not invertible in general. A quasi-inverse allows for a partial recovery of the input state, but its analytical results are found only in a restricted space of…