arXiv · 2304.14096
Scalable quantum circuits for $n$-qubit unitary matrices
Abstract
This work presents an optimization-based scalable quantum neural network framework for approximating $n$-qubit unitaries through generic parametric representation of unitaries, which are obtained as product of exponential of basis elements of a new basis that we propose as an alternative to Pauli string basis. We call this basis as the Standard Recursive Block Basis, which is constructed using a recursive method, and its elements are permutation-similar to block Hermitian unitary matrices.
Explore related subjects
Keep this discovery
Rohit Sarma Sarkar, Bibhas Adhikari. 2023-04-27. Scalable quantum circuits for $n$-qubit unitary matrices. https://arxiv.org/abs/2304.14096
Cite the original work for its findings. Save a collection to share your selection of sources.