8 papers
A NISQ-friendly Coined Quantum Walk Algorithm for Chaos-based Cryptographic Applications
Natalie Gibson, Niklas Keckman, Andrea Marchesin +2
We present a novel lackadaisical alternating quantum walk (LAQW) algorithm whose circuit depth scales as for a lattice over time steps. We sho…
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…
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…
Quantum Minimal Learning Machine: A Fidelity-Based Approach to Error Mitigation
Clemens Lindner, Joonas Hämäläinen, Matti Raasakka
We introduce the concept of quantum minimal learning machine (QMLM), a supervised similarity-based learning algorithm. The algorithm is conceptually based on a classical machine le…
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…
Noisy Quantum Simulation: Performance and Resource Considerations for the Tavis-Cummings and Heisenberg Models
Alisa Haukisalmi, Daniel Paz Ramos, Matti Raasakka +3
Fault-tolerant quantum computers promise the simulation of complex quantum systems beyond the reach of classical computation. In contrast, current noisy intermediate-scale quantum…