This repository provides the code for reproducing the results in arXiv:2411.05760.
The paper discusses the properties of a class of dynamic parametrized quantum circuits (DPQC) as an ansatz---parameterized circuits containing intermediate measurements and feedforward operations---for variational quantum algorithms. Specifically, the investigation focuses on their classical simulability and the hardness of optimization. In particular, it is shown that these architectures are promising candidates for a variety of applications because they:
- Provably do not suffer from barren plateaus.
- Are expressive enough to describe arbitrarily deep unitary quantum circuits.
- Are competitive with state of the art methods for the preparation of ground states and facilitate the representation of nontrivial thermal states.
srcexamples: Files that illustrate the code execution.utilities: Files that hold the utility functionality needed to execute the code.find_gibbs_fidelity: Functionality to approximate a Gibbs state using DPQCs as ansatz based on the infidelity as cost function.find_gibbs_varqite: Functionality to approximate a Gibbs state using DPQCs as ansatz based on variational quantum imaginary time evolution.find_gs: Functionality to approximate a ground state using DPQCs as ansatz with a sparse or local observable as a cost function.
Abhinav Deshpande abhinav.deshpande@ibm.com
Marcel Hinsche
Sona Najafi
Kunal Sharma
Ryan Sweke
Christa Zoufal ouf@zurich.ibm.com