5 papers
Learning unknown stabilizer codes using product measurements
Heather Leitch, Sowmya Tirukkovalluri, Yingkai Ouyang
Efficiently characterizing quantum error correcting codes is a key challenge on the path to fault-tolerant quantum computation. Stabilizer codes, a central class of such codes, are…
Magic state distillation with permutation-invariant codes and a two-qubit example
Heather Leitch, Yingkai Ouyang
Magic states, by allowing non-Clifford gates through gate teleportation, are important building blocks of fault-tolerant quantum computation. Magic state distillation protocols aim…
The Cramér-Rao approach and global quantum estimation of bosonic states
Masahito Hayashi, Yingkai Ouyang
Quantum state estimation is a fundamental task in quantum information theory, where one estimates real parameters continuously embedded in a family of quantum states. In the theory…
Robust projective measurements through measuring code-inspired observables
Yingkai Ouyang
Quantum measurements are ubiquitous in quantum information processing tasks, but errors can render their outputs unreliable. Here, we present a scheme that implements a robust proj…
Finding the optimal probe state for multiparameter quantum metrology using conic programming
Masahito Hayashi, Yingkai Ouyang
The aim of the channel estimation is to estimate the parameters encoded in a quantum channel. For this aim, it is allowed to choose the input state as well as the measurement to ge…