A Lie algebraic theory of barren plateaus for deep parameterized quantum circuits
Variational quantum computing schemes train a loss function by sending an initial state
through a parametrized quantum circuit, and measuring the expectation value of some …
through a parametrized quantum circuit, and measuring the expectation value of some …
A review of barren plateaus in variational quantum computing
M Larocca, S Thanasilp, S Wang, K Sharma… - ar**
M Arora, K Gupta - Archives of Computational Methods in Engineering, 2024 - Springer
Computational intelligence has previously demonstrated its existence beyond the limitations
of binary variables and Turing Machines. Using quantum concepts, Deutsch (1985) and …
of binary variables and Turing Machines. Using quantum concepts, Deutsch (1985) and …
Alleviating barren plateaus in parameterized quantum machine learning circuits: Investigating advanced parameter initialization strategies
Parameterized quantum circuits (PQCs) have emerged as a foundational element in the
development and applications of quantum algorithms. However, when initialized with …
development and applications of quantum algorithms. However, when initialized with …
The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of hqnns
Recent advances in quantum computing and machine learning have brought about a
promising intersection of these two fields, leading to the emergence of quantum machine …
promising intersection of these two fields, leading to the emergence of quantum machine …
Hqnet: Harnessing quantum noise for effective training of quantum neural networks in nisq era
This paper delves into the intricate dynamics of quantum noise and its influence on the onset
and mitigation of barren plateaus (BPs)-a phenomenon that critically impedes the scalability …
and mitigation of barren plateaus (BPs)-a phenomenon that critically impedes the scalability …