YTYu Tong
Yu Tong
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yu Tong has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Andreas Elben
Paul Scherrer Institute
1 shared publication - Hsin-Yuan Huang
California Institute of Technology
1 shared publication - Yongtao Zhan
Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, USA
1 shared publication
Latest Publications
- Open Access
- 22 March 2024
- Published by American Physical Society (APS) in PRX Quantum
- Vol. 5 (1) , 010350
Learning Conservation Laws in Unknown Quantum Dynamics
We present a learning algorithm for discovering conservation laws given as sums of geometrically local observables in quantum dynamics. This includes conserved quantities that arise from local and global symmetries in closed and open quantum many-body systems. The algorithm combines the classical shadow formalism for estimating expectation values of observable and data analysis techniques based on singular value decompositions and robust polynomial interpolation to discover all such conservation laws in unknown quantum dynamics with rigorous performance guarantees. Our method can be directly realized in quantum experiments, which we illustrate with numerical simulations, using closed and open quantum system dynamics in a gauge theory and in many-body localized spin chains.- 22 March 2024
- Published by American Physical Society (APS) in PRX Quantum
- Vol. 5 (1) , 010350
Open AccessLearning Conservation Laws in Unknown Quantum Dynamics
We present a learning algorithm for discovering conservation laws given as sums of geometrically local observables in quantum dynamics. This includes conserved quantities that arise from local and global symmetries in closed and open quantum many-body systems. The algorithm combines the classical shadow formalism for estimating expectation values of observable and data analysis techniques based on singular value decompositions and robust polynomial interpolation to discover all such conservation laws in unknown quantum dynamics with rigorous performance guarantees. Our method can be directly realized in quantum experiments, which we illustrate with numerical simulations, using closed and open quantum system dynamics in a gauge theory and in many-body localized spin chains.