181 citations · 221 across the 22 of their papers we have counts for
22 papers
Global Optimization for Parametrized Quantum Circuits
Iosif Sakos, Antonios Varvitsiotis, Georgios Korpas +1
In the absence of error correction, noisy intermediate-scale quantum devices are operated by training parametrized quantum circuits (PQCs) so as to minimize a suitable loss functio…
Training Hybrid Quantum Policies with Classical Surrogates for Actor-Critic Reinforcement Learning
Jie Luo, Jeremy Kulcsar, Xueyin Chen +2
Reading out a parametrized quantum circuit through finite-shot measurements introduces a discrete stochastic component into hybrid quantum-classical neural networks, making gradien…
Federated Sinkhorn
Jeremy Kulcsar, Vyacheslav Kungurtsev, Georgios Korpas +2
We study distributed Sinkhorn iterations for entropy-regularized optimal transport when the Gibbs kernel operator is row-partitioned across c workers and cannot be centralized. We…
Identifiability of Autonomous and Controlled Open Quantum Systems
Waqas Parvaiz, Johannes Aspman, Ales Wodecki +2
Open quantum systems are a rich area of research in the intersection of quantum mechanics and stochastic analysis. By considering a variety of master equations, we unify multiple v…
Entanglement scaling in matrix product state representation of smooth functions and their shallow quantum circuit approximations
Vladyslav Bohun, Illia Lukin, Mykola Luhanko +4
Encoding classical data in a quantum state is a key prerequisite of many quantum algorithms. Recently matrix product state (MPS) methods emerged as the most promising approach for…
Quantum Monte Carlo Integration for Simulation-Based Optimisation
Jingjing Cui, Philippe J. S. de Brouwer, Steven Herbert +7
We investigate the feasibility of integrating quantum algorithms as subroutines of simulation-based optimisation problems with relevance to and potential applications in mathematic…
ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations
Pavel Rytir, Ales Wodecki, Georgios Korpas +1
Causal learning from data has received much attention recently. Bayesian networks can be used to capture causal relationships. There, one recovers a weighted directed acyclic graph…
Spectral Methods for Quantum Optimal Control: Artificial Boundary Conditions
Ales Wodecki, Jakub Marecek, Vyacheslav Kungurtsev +3
The problem of quantum state preparation is one of the main challenges in achieving the quantum advantage. Furthermore, classically, for multi-level problems, our ability to solve…
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…
Transpiling Quantum Circuits using the Pentagon Equation
Christos Aravanis, Georgios Korpas, Jakub Marecek
We consider the application of the pentagon equation in the context of quantum circuit compression. We show that if solutions to the pentagon equation are found, one can transpile…
Iteration Complexity of Variational Quantum Algorithms
Vyacheslav Kungurtsev, Georgios Korpas, Jakub Marecek +1
There has been much recent interest in near-term applications of quantum computers, i.e., using quantum circuits that have short decoherence times due to hardware limitations. Vari…
Globally optimal control of quantum dynamics
Denys I. Bondar, Llorenc Balada Gaggioli, Georgios Korpas +3
Optimization of constrained quantum control problems powers quantum technologies. This task becomes very difficult when these control problems are nonconvex and plagued with dense…
A note on holographic renormalization for non-conformal branes by recursion
Georgios Korpas
We review holographic renormalization for non-conformal branes using the Hamilton-Jacobi formalism. We provide the tools required for the computation of the holographic dictionary,…
Polynomial Matrix Inequalities within Tame Geometry
Christos Aravanis, Johannes Aspman, Georgios Korpas +1
Polynomial matrix inequalities can be solved using hierarchies of convex relaxations, pioneered by Henrion and Lassere. In some cases, this might not be practical, and one may need…
Quantum open system identification via global optimization: Optimally accurate Markovian models of open systems from time-series data
Zakhar Popovych, Kurt Jacobs, Georgios Korpas +2
Accurate models of the dynamics of quantum circuits are essential for optimizing and advancing quantum devices. Since first-principles models of environmental noise and dissipation…
The -plane integral, mock modularity and enumerative geometry
Johannes Aspman, Elias Furrer, Georgios Korpas +2
We revisit the low-energy effective action of topologically twisted SYM theory with gauge group of rank one on a generic oriented smooth 4-manifold with n…
Quantum State Tomography as a Bilevel Problem, Utilizing I-Q Plane Data
Georgios Korpas, Jakub Marecek
It is natural to ask how to utilize actual measurements, such as the so-called IQ-plane data obtained in the dispersive readout of transmon qubits, in the estimation of the state o…