25 citations · 146 across the 29 of their papers we have counts for
29 papers
Training quantum machine learning models on cloud without uploading the data
Guang Ping He
Based on the linearity of quantum unitary operations, we propose a method that runs the parameterized quantum circuits before encoding the input data. This enables a dataset owner…
Comment on "Masking quantum information is impossible"
Guang Ping He
The no-masking theorem (Phys. Rev. Lett. 120, 230501 (2018)) claims that arbitrary quantum states cannot be masked. Based on this result, the authors further suggested that qubit c…
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit
Guang Ping He
Finding gradients is a crucial step in training machine learning models. For quantum neural networks, computing gradients using the parameter-shift rule requires calculating the co…
A no-go result on observing quantum superpositions
Guang Ping He
We give a general proof showing that once irreversible processes are involved, a class of projective measurements is impossible. Applying this no-go result to the Schroedinger's ca…
Collaboration between parallel connected neural networks -- A possible criterion for distinguishing artificial neural networks from natural organs
Guang Ping He
We find experimentally that when artificial neural networks are connected in parallel and trained together, they display the following properties. (i) When the parallel-connected n…
Measurement-device-independent quantum key distribution with classical Bob and no joint measurement
Guang Ping He
Measurement-device-independent quantum key distribution (MDI-QKD) provides a method for secret communication whose security does not rely on trusted measurement devices. In all exi…