181 citations · 221 across the 22 of their papers we have counts for
6 papers · 1 filter
Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…
Parallel variational quantum algorithms with gradient-informed restart to speed up optimisation in the presence of barren plateaus
Daniel Mastropietro, Georgios Korpas, Vyacheslav Kungurtsev +1
Inspired by the Fleming-Viot stochastic process, we propose a parallel implementation of variational quantum algorithms with the aim of reducing the time spent by the algorithm in…
Predicting Ising Model Performance on Quantum Annealers
Salvatore Certo, Georgios Korpas, Andrew Vlasic +1
By analyzing the characteristics of hardware-native Ising Models and their performance on current and next generation quantum annealers, we provide a framework for determining the…
Taming Binarized Neural Networks and Mixed-Integer Programs
Johannes Aspman, Georgios Korpas, Jakub Marecek
There has been a great deal of recent interest in binarized neural networks, especially because of their explainability. At the same time, automatic differentiation algorithms such…
Approaching Collateral Optimization for NISQ and Quantum-Inspired Computing
Megan Giron, Georgios Korpas, Waqas Parvaiz +2
Collateral optimization refers to the systematic allocation of financial assets to satisfy obligations or secure transactions, while simultaneously minimizing costs and optimizing…
A Survey of Quantum Alternatives to Randomized Algorithms: Monte Carlo Integration and Beyond
Philip Intallura, Georgios Korpas, Sudeepto Chakraborty +4
Monte Carlo sampling is a powerful toolbox of algorithmic techniques widely used for a number of applications wherein some noisy quantity, or summary statistic thereof, is sought t…