activity
20232026
most citedLearning in Quantum Common-Interest Games and the Separability Problem

4 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

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…

math.OC2025

Optimistic Online Learning in Symmetric Cone Games

Anas Barakat, Wayne Lin, John Lazarsfeld +1

We introduce symmetric cone games (SCGs), a broad class of multi-player games where each player's strategy lies in a generalized simplex (the trace-one slice of a symmetric cone).…

math.OC2024

A Primal-Dual Framework for Symmetric Cone Programming

Jiaqi Zheng, Antonios Varvitsiotis, Tiow-Seng Tan +1

In this paper, we introduce a primal-dual algorithmic framework for solving Symmetric Cone Programs (SCPs), a versatile optimization model that unifies and extends Linear, Second-O…

eess.SY2024

Learning and steering game dynamics towards desirable outcomes

Ilayda Canyakmaz, Iosif Sakos, Wayne Lin +2

Game dynamics, which describe how agents' strategies evolve over time based on past interactions, can exhibit a variety of undesirable behaviours including convergence to suboptima…

cs.GT2023★ 2 cited

No-Regret Learning and Equilibrium Computation in Quantum Games

Wayne Lin, Georgios Piliouras, Ryann Sim +1

As quantum processors advance, the emergence of large-scale decentralized systems involving interacting quantum-enabled agents is on the horizon. Recent research efforts have explo…

math.OC2023

Multiplicative Updates for Online Convex Optimization over Symmetric Cones

Ilayda Canyakmaz, Wayne Lin, Georgios Piliouras +1

We study online convex optimization where the possible actions are trace-one elements in a symmetric cone, generalizing the extensively-studied experts setup and its quantum counte…

cs.GT2023★ 4 cited

Learning in Quantum Common-Interest Games and the Separability Problem

Wayne Lin, Georgios Piliouras, Ryann Sim +1

Learning in games has emerged as a powerful tool for machine learning with numerous applications. Quantum games model interactions between strategic players who have access to quan…