Authors
Call for Papers
The Organizing Committee invites original, unpublished contributions across the full scope of quantum control, computing and learning. All accepted papers will be published in the official IEEE conference proceedings.
Submission portal to be announced
The paper submission system is not open yet. The portal link and author instructions will be published on this page. For enquiries, contact shuming_cheng@tongji.edu.cn.
Scope and topics
Contributions are solicited on, but not limited to, the following topics.
01Quantum Control
- Quantum coherent control
- Quantum optimal control
- Quantum robust control
- Measurement-based quantum feedback
- Quantum coherent feedback control
- Controllability and observability
- Quantum feedback networks
- Quantum linear system theory
02Quantum Estimation
- Quantum filtering
- Quantum smoothing
- Quantum state tomography
- Quantum detector tomography
- Quantum process tomography
- Hamiltonian identification
- Quantum system identification
03Quantum Machine Learning
- Quantum neural networks
- Quantum reinforcement learning
- Quantum kernel learning
- Quantum supervised learning
- Quantum learning theory
- Quantum classifier
04Quantum Computing
- Quantum error correction
- Quantum algorithms
- NISQ quantum computing
- Hybrid quantum-classical algorithms
- Quantum software
- Quantum computing architecture
- Variational quantum circuits
05Quantum Sensing
- Quantum sensing protocols
- Quantum metrology
- Quantum precision measurement
- Quantum spin sensor
- Imaging and spectroscopy
- Quantum radar
- Quantum-enhanced imaging
06Applications
- Energy systems
- Finance systems
- Engineering systems
- Numerical optimization
- Physical chemistry
- Material design
- Medicine and healthcare
Recognition
Awards
Best Paper Award
Eligibility and selection criteria to be announced.
Best Student Paper Award
Eligibility and selection criteria to be announced.
Best Poster Award
Eligibility and selection criteria to be announced.
Questions about the call for papers? Write to shuming_cheng@tongji.edu.cn