Call for Papers
Jiangwei Shang, Beijing Institute of Technology, China
Yong Siah Teo, Seoul National University, Korea
Accepted Papers
- Quasirandom estimations of two-qubit operator-monotone-based separability probabilities
- Adiabatic quantum estimation: A numerical study of the Heisenberg XX model with antisymmetric exchange
- Self-consistent tomography and measurement-device independent cryptography
- Experimental demonstration of optimized quantum process tomography on the IBM quantum experience
- Online quantum state tomography of N-qubit via continuous weak measurement and compressed sensing
- The varieties of minimal tomographically complete measurements
New-age quantum devices that are used for computing and information-theoretic tasks operate by storing and manipulating ensembles of quantum systems. The successful employment of such a device requires the initial characterization of its crucial components reliably. Then, quantum tomography is a comprehensive toolkit that can be used to carry out complete characterization of quantum states, operations and other possible set of parameters that control the device, with further statistical assessments on the reliability of these results.
Recent theoretical and experimental progresses in the fields of quantum information processing and quantum computation have subsequently demanded a more diversified perspective and treatment of quantum tomography. Budding from concepts of state estimation and parameter inference for simple quantum systems that are largely borrowed from classical statistics, the study of quantum tomography has since evolved into an arsenal of analytical and numerical techniques to execute reconstruction and error assessment that are beginning to cope with physical systems of more complex and sophisticated degrees of freedom. Recent topics of exploration include geometrical aspects of quantum measurements in tomography, physical-property estimation, quantum state verification, adaptive and compressive methods, accuracy/precision studies related to uncertainty bounds, quantum metrology and parameter estimation, frequentists’ confidence-region and Bayesians’ credible-region constructions, machine-learning-assisted tomography, and the list goes on.
The purpose of this special issue is to attract article contributions from research scholars and experts who are engaged in cutting-edge state of affairs concerning quantum tomography. This issue shall consist of a pivotal collection of either research or review articles to boost advancements in quantum tomography along scientifically correct directions that would eventually support practical implementations of quantum computers and devices.
We encourage authors to contribute their recent theoretical or experimental work to this special issue related to any of the following subjects in quantum tomography. These include, yet not necessarily limited to:
- Quantum state/process reconstruction
- Detector tomography
- Quantum state verification
- Quantum metrology and parameter estimation
- Adaptive and selective tomography
- Compressive tomography
- Quasi-distribution tomography
- Error-region construction
- Accuracy/precision studies related to (quantum) Cramer-Rao and other bounds for reconstruction uncertainty
- Properties of quantum measurements for tomography
- Quantum measurement certification
- Time-/frequency-domain tomography
- Numerical techniques for tomography
- Issues related to photon counting
- Machine-learning-assisted methods
Important Deadlines
- Submission deadline: June 01, 2021
- Revised paper due: June 15, 2021
- Final notification: June 30, 2021