From the 1 of 13 linked papers with an AI index.
13 papers
Optimizing Quantum Photonic Integrated Circuits using Differentiable Tensor Networks
Mathias Van Regemortel, Thomas Van Vaerenbergh
The paper proposes a gradient‑based optimization framework that uses differentiable tensor networks to design quantum photonic integrated circuits with nonlinear unitary gates and…
Continuous-time nonlinear closed-loop in-memory computing for high-accuracy massive MIMO detection
Piergiulio Mannocci, Giacomo Pedretti, Fabian Böhm +1
Analog in-memory computing (IMC) has emerged as a promising approach for accelerating matrix operations by exploiting the intrinsic physics of memory arrays. To date, however, most…
Modeling the Quantum Photon Statistics in Hybrid Light-Matter Integrated Circuits
Mathias Van Regemortel, Vincenzo Ardizzone, Eugenio Maggiolini +3
Strong light-matter coupling between a guided electromagnetic mode and an excitonic semiconductor transition gives rise to exciton-polaritons with optical nonlinearities far exceed…
Accelerating Hybrid XORCNF Boolean Satisfiability Problems Natively with In-Memory Computing
Haesol Im, Fabian Böhm, Giacomo Pedretti +14
The Boolean satisfiability (SAT) problem is a computationally challenging decision problem central to many industrial applications. For SAT problems in cryptanalysis, circuit desig…
A Statistical Analysis for Per-Instance Evaluation of Stochastic Optimizers: Avoiding Unreliable Conclusions
Moslem Noori, Elisabetta Valiante, Thomas Van Vaerenbergh +2
A key trait of stochastic optimizers is that multiple runs of the same optimizer in attempting to solve the same problem can produce different results. As a result, their performan…
Hardware-Compatible Single-Shot Feasible-Space Heuristics for Solving the Quadratic Assignment Problem
Haesol Im, Chan-Woo Yang, Moslem Noori +10
Research into the development of special-purpose computing architectures designed to solve quadratic unconstrained binary optimization (QUBO) problems has flourished in recent year…