Natalia G. Berloff

According to our database, Natalia G. Berloff authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Attractor-Keyed Memory.

Natalia G. Berloff

CoRR, March, 2026

2025

Training of physical neural networks.

Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury

Nat., September, 2025

Analog optical computer for AI inference and combinatorial optimization.

Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O'Shea, Lucinda Pickup, Saravan Rajmohan, Antony I. T. Rowstron, Victor Rühle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani

Nat., September, 2025

Programmable k-local Ising Machines and all-optical Kolmogorov-Arnold Networks on Photonic Platforms.

Nikita Stroev, Natalia G. Berloff

CoRR, August, 2025

Higher-Order Kuramoto Oscillator Network for Dense Associative Memory.

Jona Nagerl, Natalia G. Berloff

CoRR, July, 2025

Exact Spin Elimination in Ising Hamiltonians and Energy-Based Machine Learning.

Natalia G. Berloff

CoRR, May, 2025

Phase Retrieval via Gain-Based Photonic XY-Hamiltonian Optimization.

Richard Zhipeng Wang, Guangyao Li, Silvia Gentilini, Marcello Calvanese Strinati, Claudio Conti, Natalia G. Berloff

CoRR, May, 2025

2024

A Fully Analog Pipeline for Portfolio Optimization.

James S. Cummins, Natalia G. Berloff

CoRR, 2024

Complex Vector Gain-Based Annealer for Minimizing XY Hamiltonians.

James S. Cummins, Natalia G. Berloff

CoRR, 2024

Fully Programmable Spatial Photonic Ising Machine by Focal Plane Division.

Daniele Veraldi, Davide Pierangeli, Silvia Gentilini, Marcello Calvanese Strinati, Jason Sakellariou, James S. Cummins, Airat Kamaletdinov, Marvin Syed, Richard Zhipeng Wang, Natalia G. Berloff, Dimitrios Karanikolopoulos, Pavlos G. Savvidis, Claudio Conti

CoRR, 2024

Efficient Computation Using Spatial-Photonic Ising Machines: Utilizing Low-Rank and Circulant Matrix Constraints.

Richard Zhipeng Wang, James S. Cummins, Marvin Syed, Nikita Stroev, George Pastras, Jason Sakellariou, Symeon Tsintzos, Alexis Askitopoulos, Daniele Veraldi, Marcello Calvanese Strinati, Silvia Gentilini, Davide Pierangeli, Claudio Conti, Natalia G. Berloff

CoRR, 2024

Coupling Light with Matter for Identifying Dominant Subnetworks.

Airat Kamaletdinov, Natalia G. Berloff

CoRR, 2024

2023

Analog Iterative Machine (AIM): using light to solve quadratic optimization problems with mixed variables.

Kirill P. Kalinin, George Mourgias-Alexandris, Hitesh Ballani, Natalia G. Berloff, James H. Clegg, Daniel Cletheroe, Christos Gkantsidis, István Haller, Vassily Lyutsarev, Francesca Parmigiani, Lucinda Pickup, Antony I. T. Rowstron

CoRR, 2023

Renaissance of Analogue Optical Computing.

Nikita Stroev, Natalia G. Berloff

CoRR, 2023

2022

Complex matter field universal models with optimal scaling for solving combinatorial optimization problems.

Natalia G. Berloff

CoRR, 2022

2021

Large-scale Sustainable Search on Unconventional Computing Hardware.

Kirill P. Kalinin, Natalia G. Berloff

CoRR, 2021

XY Neural Networks.

Nikita Stroev, Natalia G. Berloff

CoRR, 2021

2020

Complexity continuum within Ising formulation of NP problems.

Kirill P. Kalinin, Natalia G. Berloff

CoRR, 2020

Polaritonic XY-Ising Machine.

Kirill P. Kalinin, Alberto Amo, Jacqueline Bloch, Natalia G. Berloff

CoRR, 2020

2019

Nonlinear systems for unconventional computing.

Kirill P. Kalinin, Natalia G. Berloff

CoRR, 2019

Discrete Polynomial Optimization with Coherent Networks of Condensates and Complex Coupling Switching.

Nikita Stroev, Natalia G. Berloff

CoRR, 2019

2018

Global optimization of spin Hamiltonians with gain-dissipative systems.

Kirill P. Kalinin, Natalia G. Berloff

CoRR, 2018