Career
- 2002-present DAMTP faculty member, since 2013 Professor of Applied Mathematics
- 2002-present Fellow of Jesus College, Cambridge
- 2013-2016 on leave, Professor, Dean of Faculty, Director of Photonics and Quantum Materials Program, Skoltech
- 1999-2002 PIC Assistant Professor, Department of Mathematics, the University of California in Los Angeles
- 1997-1999 UC President's Research Fellow, Department of Mathematics, the University of California in Los Angeles
Research
Natalia Berloff leads the Quantum Fluids\ Physics-inspired computing group. She is an applied mathematician with a range of research interests which focus on coherence in non-equilibrium quantum systems, superfluidity, quantum fluids, Bose-Einstein condensates, and classical and quantum simulators based on atomic and solid-state condensates.
Selected Publications
http://www.damtp.cam.ac.uk/user/ngb23/publications.html
Publications
Complex Vector Gain-Based Annealer for Minimizing XY Hamiltonians
(2024)
(doi: 10.48550/arxiv.2411.02010)
Efficient Computation Using Spatial-Photonic Ising Machines: Utilizing Low-Rank and Circulant Matrix Constraints
(2024)
(doi: 10.21203/rs.3.rs-4648131/v1)
Vector Ising Spin Annealer for Minimizing Ising Hamiltonians
(2024)
(doi: 10.48550/arxiv.2403.16608)
Macroscopic Noise Amplification by Asymmetric Dyads in Non-Hermitian Optical Systems for Generative Diffusion Models.
– Physical Review Letters
(2024)
132,
096901
Room temperature polaritonic soft-spin XY Hamiltonian in organic-inorganic halide perovskites
– Nanophotonics (Berlin, Germany)
(2024)
13,
2651
(doi: 10.1515/nanoph-2023-0818)
Fully Programmable Spatial Photonic Ising Machine by Focal Plane Division.
– CoRR
(2024)
abs/2410.10689,
Ising Hamiltonian Minimization: Gain-Based Computing with Manifold Reduction of Soft-Spins vs Quantum Annealing
(2023)
(doi: 10.48550/arxiv.2311.17359)
Analog Photonics Computing for Information Processing, Inference, and Optimization
– Advanced Quantum Technologies
(2023)
6,
2300055
(doi: 10.1002/qute.202300055)
Analog Photonics Computing for Information Processing, Inference and
Optimisation
(2023)
- <
- 2 of 14