4 papers
Gate Freezing Method for Gradient-Free Variational Quantum Algorithms in Circuit Optimization
Joona Pankkonen, Lauri Ylinen, Matti Raasakka +2
Parameterized quantum circuits (PQCs) are pivotal components of variational quantum algorithms (VQAs), which represent a promising pathway to quantum advantage in noisy intermediat…
Two-Gate Extensions of Free Axis and Free Quaternion Selection for Sequential Optimization of Parameterized Quantum Circuits
Joona V. Pankkonen
We propose two-gate extensions of the sequential single-qubit optimizers, Free Axis Selection (Fraxis) and Free Quaternion Selection (FQS), termed Two-Gate Fraxis (TGF) and Two-Gat…
Improving Variational Quantum Circuit Optimization via Hybrid Algorithms and Random Axis Initialization
Joona V. Pankkonen, Lauri Ylinen, Matti Raasakka +1
Variational quantum circuits (VQCs) are an essential tool in applying noisy intermediate-scale quantum computers to practical problems. VQCs are used as a central component in many…
Enhancing Hybrid Methods in Parameterized Quantum Circuit Optimization
Joona V. Pankkonen, Matti Raasakka, Andrea Marchesin +1
Parameterized quantum circuits (PQCs) play an essential role in the application of variational quantum algorithms (VQAs) in noisy intermediate-scale quantum (NISQ) devices. The PQC…