Zhang Jiang joined the NASA Quantum Artificial Intelligence Laboratory (QuAIL) team in 2014, and he is currently working on adiabatic quantum computation using analytical methods.

Jiang received his bachelor’s degree in mechanical engineering from the University of Science and Technology of China and his Ph.D. in physics from the University of New Mexico, where he worked on Bose-Einstein condensates, quantum metrology, and quantum amplifiers.

Jiang is currently researching the computational complexity of quantum Monte Carlo methods, which is addressed by the path integral approach. He pays close attention to quantum computation tasks with noisy physical systems; for example, how noise can be suppressed and how much noise is allowed in a quantum annealing machine. His interests also include how to best take advantage of quantum effects to enhance metrological tasks, such as space-based matter-wave interferometers, which have much longer interrogation times and thus much higher precision.

- Z. Jiang, Quantum Fisher information for states in exponential form, Physical Review A, 89, 2014.
- Z. Jiang, M. D. Lang, and C. M. Caves, Mixing nonclassical pure states in a linear-optical network almost always generates modal entanglement, Physical Review A, 88, 2013.
- S. Pandey, Z. Jiang, J. Combes, and C. M. Caves, Quantum limits on probabilistic amplifiers, Physical Review A, 88, 2013.
- Z. Jiang, M. Piani, and C. M. Caves, Ancilla models for quantum operations: for what unitaries does the ancilla state have to be physical?, Quantum Information Processing, 12, 1999—2017, 2013.
- C. M. Caves, J. Combes, Z. Jiang, and S. Pandey, Quantum limits on phase-preserving linear amplifiers, Physical Review A, 86, 2012.

Zhang Jiang

Research Scientist, NASA Ames Research Center

zhang.jiang@nasa.gov