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Cambyse Rouze - Heisenberg-limited Hamiltonian learning continuous variable systems via dissipation
Presenter
- Cambyse Rouze
January 14, 2026
IPAM
Jianfeng Lu - Lifting of Quantum Markov Processes - IPAM at UCLA
Presenter
- Jianfeng Lu
January 14, 2026
IPAM
Daniel Stilck Franca - Learning and certification of local time-dependent quantum dynamics and noise
Presenter
- Daniel Franca
January 14, 2026
IPAM
Pawel Wocjan - Quantized Markov chain couplings that prepare Qsamples - IPAM at UCLA
Presenter
- Pawel Wocjan
January 14, 2026
IPAM
M. Isabel Franco Garrido - Optimization algorithms using Gibbs state preparation and beyond
Presenter
- Isabel Garrido
January 14, 2026
IPAM
Dynamic Random Partitions: Applications, Opportunities, and Challenges
Presenter
- Michele Guindani
January 14, 2026
ICERM
Fast non-reversible samplers for Bayesian mixture models
Presenter
- Filippo Ascolani
January 14, 2026
ICERM
Recursive estimation for mixtures or why zooming out is a good idea
Presenter
- Bernardo Flores
January 14, 2026
ICERM
Minimax-Optimal Experimental Design for Network Interference on Pseudo-Random Graphs
Presenter
- Shuangning Li
January 14, 2026
IMSI