A review of barren plateaus in variational quantum computing
Variational quantum computing offers a flexible computational paradigm with applications in
diverse areas. However, a key obstacle to realizing their potential is the Barren Plateau (BP) …
diverse areas. However, a key obstacle to realizing their potential is the Barren Plateau (BP) …
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
A large amount of effort has recently been put into understanding the barren plateau
phenomenon. In this perspective article, we face the increasingly loud elephant in the room …
phenomenon. In this perspective article, we face the increasingly loud elephant in the room …
Symmetry-invariant quantum machine learning force fields
Machine learning techniques are essential tools to compute efficient, yet accurate, force
fields for atomistic simulations. This approach has recently been extended to incorporate …
fields for atomistic simulations. This approach has recently been extended to incorporate …
Effects of noise on the overparametrization of quantum neural networks
Overparametrization is one of the most surprising and notorious phenomena in machine
learning. Recently, there have been several efforts to study if, and how, quantum neural …
learning. Recently, there have been several efforts to study if, and how, quantum neural …
Noise-induced shallow circuits and absence of barren plateaus
Motivated by realistic hardware considerations of the pre-fault-tolerant era, we
comprehensively study the impact of uncorrected noise on quantum circuits. We first show …
comprehensively study the impact of uncorrected noise on quantum circuits. We first show …
Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
We present\emph {Noise-Directed Adaptive Remapping}(NDAR), a heuristic meta-algorithm
for approximately solving binary optimization problems by leveraging certain types of noise …
for approximately solving binary optimization problems by leveraging certain types of noise …
Theoretical framework for quantum associative memories
Associative memory refers to the ability to relate a memory with an input and targets the
restoration of corrupted patterns. It has been intensively studied in classical physical …
restoration of corrupted patterns. It has been intensively studied in classical physical …
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey
J Cunningham, J Zhuang - arXiv preprint arXiv:2407.17706, 2024 - arxiv.org
In recent years, variational quantum circuits (VQCs) have been widely explored to advance
quantum circuits against classic models on various domains, such as quantum chemistry …
quantum circuits against classic models on various domains, such as quantum chemistry …
Characterization and thermometry of dissapatively stabilized steady states
GS Grattan, AM Liguori-Schremp, D Pérez… - arXiv preprint arXiv …, 2024 - arxiv.org
In this work we study the properties of dissipatively stabilized steady states of noisy quantum
algorithms, exploring the extent to which they can be well approximated as thermal …
algorithms, exploring the extent to which they can be well approximated as thermal …
arXiv: Symmetry-invariant quantum machine learning force fields
Abstract Machine learning techniques are essential tools to compute efficient, yet accurate,
force fields for atomistic simulations. This approach has recently been extended to …
force fields for atomistic simulations. This approach has recently been extended to …