Power and limitations of learning quantum dynamics incoherently
Los Alamos National Laboratory · Universität Innsbruck · +8 more institutions
Abstract
Quantum process learning is emerging as an important tool to study quantum systems. While studied extensively in coherent frameworks, where the target and model system can share quantum information, less attention has been paid to whether the dynamics of quantum systems can be learned without the system and target directly interacting. Such incoherent frameworks are practically appealing since they open up methods of transpiling quantum processes between the different physical platforms without the need for technically challenging hybrid-entanglement schemes. Here, we provide bounds on the sample complexity of learning unitary processes incoherently by analyzing the number of measurements that are required to…
Citation impact
- FWCI
- 0.00
- Percentile
- 98%
- References
- 46
Authors
7- SJSofiène JerbiCorresponding
Los Alamos National Laboratory, Universität Innsbruck, Instituto de Física Teórica, Freie Universität Berlin
- JGJoe Gibbs
Atomic Weapons Establishment, University of Surrey
- MSManuel S. Rudolph
École Polytechnique Fédérale de Lausanne
- MCMatthias C. Caro
Pasadena City College, California Institute of Technology, Freie Universität Berlin
- PJPatrick J. Coles
Los Alamos National Laboratory, Community Cancer Center
Topics & keywords
- Unitary state
- Computer science
- Quantum
- Qubit
- Quantum entanglement
- Sample complexity
- Statistical physics
- Power (physics)