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Chunhao Wang - Quantum Regression Theory, Efficient Computation Response, Non-Markovian Open Systems
Presenter
- Chunhao Wang
January 15, 2026
IPAM
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
Eric Carlen - Boundary-driven quantum systems near Zeno limit: steady states and long-time behavior
Presenter
- Eric Carlen
January 13, 2026
IPAM
Ewin Tang - A Dobrushin condition for quantum Markov chains - IPAM at UCLA
Presenter
- Ewin Tang
January 13, 2026
IPAM
Jiaqing Jiang - Predicting properties of quantum thermal states from a single trajectory
Presenter
- Jiaqing Jiang
January 13, 2026
IPAM
Ankur Moitra - Transitions in Quantum Spin Systems - IPAM at UCLA
Presenter
- Ankur Moitra
January 13, 2026
IPAM
Yunchao Liu - Beyond worst-case mixing-time analysis in quantum Gibbs sampling - IPAM at UCLA
Presenter
- Yunchao Liu
January 13, 2026
IPAM
Alexander Zlokapa - Average-case quantum complexity from glassiness - IPAM at UCLA
Presenter
- Alexander Zlokapa
January 13, 2026
IPAM