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Updated: Aug 11, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
Programmable Open Quantum Systems
Mingrui Jing1, Mengbo Guo1, Lin Zhu1,2
1The Hong Kong University of Science and Technology (Guangzhou), Thrust of Artificial Intelligence, Information Hub, Guangzhou 511453, China.
This study introduces a framework to quantify the programmability of open quantum systems (Lindbladian semigroups). It identifies programmable quantum classes and defines a programming cost for controlling noisy quantum technologies.
Area of Science:
- Quantum Information Science
- Quantum Control
- Open Quantum Systems
Background:
- Programmability is crucial in quantum computation and control, enabling diverse quantum transformations.
- Open quantum systems, previously viewed as error sources, are now recognized as computational resources.
- The programmability of open systems (Lindbladian semigroups) remains an underexplored area.
Purpose of the Study:
- To develop a framework for characterizing and quantifying the programmability of Lindbladian semigroups.
- To identify classes of quantum systems that are programmable.
- To establish a measure for the cost of programming these systems.
Main Methods:
- Combining physically implementable retrieval maps with time-varying program states.
- Analyzing symmetry and stochastic structures within Lindbladian dynamics.
- Defining an operational programming cost based on required samples.
Main Results:
- Identification of quantum programmable classes, including covariant semigroups and fully dissipative Pauli Lindbladians.
- A necessary condition for physical programmability was established, excluding certain generators.
- Construction of quasisampling protocols for nonphysically programmable cases.
- Introduction of an operational programming cost for Lindbladians.
Conclusions:
- The framework provides a quantitative measure of programmability for open quantum systems.
- Results bridge programmable channel theory with open system dynamics.
- Symmetry-driven compression schemes and resource estimates are offered for noisy quantum technologies.
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