65 citations · 182 across the 20 of their papers we have counts for
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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…
Induced quantum gravity from QFT vector models
Matti Raasakka
QFT vector models are a newly developed approach to quantum gravity, which are based on induced gravity in discrete spacetimes. Here we review some basic definitions and properties…
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…
Emergence of gravity from quantum field theory in triangulated spacetime and the QFT vector model
Matti Raasakka
We formulate quantum field theory in triangulated spacetimes using compositional quantum field theory and tensor network methods. We show that, in the case of free massive scalar f…
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…