Quantum computing for high-energy physics: State of the art and challenges

A Di Meglio, K Jansen, I Tavernelli, C Alexandrou… - PRX Quantum, 2024 - APS
Quantum computers offer an intriguing path for a paradigmatic change of computing in the
natural sciences and beyond, with the potential for achieving a so-called quantum …

Recent advances for quantum neural networks in generative learning

J Tian, X Sun, Y Du, S Zhao, Q Liu… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Quantum computers are next-generation devices that hold promise to perform calculations
beyond the reach of classical computers. A leading method towards achieving this goal is …

Avoiding barren plateaus using classical shadows

SH Sack, RA Medina, AA Michailidis, R Kueng… - PRX Quantum, 2022 - APS
Variational quantum algorithms are promising algorithms for achieving quantum advantage
on near-term devices. The quantum hardware is used to implement a variational wave …

Synergistic pretraining of parametrized quantum circuits via tensor networks

MS Rudolph, J Miller, D Motlagh, J Chen… - Nature …, 2023 - nature.com
Parametrized quantum circuits (PQCs) represent a promising framework for using present-
day quantum hardware to solve diverse problems in materials science, quantum chemistry …

Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing

M Cerezo, M Larocca, D García-Martín, NL Diaz… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

Avoiding barren plateaus via transferability of smooth solutions in a Hamiltonian variational ansatz

AA Mele, GB Mbeng, GE Santoro, M Collura, P Torta - Physical Review A, 2022 - APS
A large ongoing research effort focuses on variational quantum algorithms (VQAs),
representing leading candidates to achieve computational speed-ups on current quantum …

Barren plateaus in quantum tensor network optimization

EC Martín, K Plekhanov, M Lubasch - Quantum, 2023 - quantum-journal.org
We analyze the barren plateau phenomenon in the variational optimization of quantum
circuits inspired by matrix product states (qMPS), tree tensor networks (qTTN), and the …

Decomposition of matrix product states into shallow quantum circuits

MS Rudolph, J Chen, J Miller, A Acharya… - Quantum Science …, 2023 - iopscience.iop.org
Tensor networks (TNs) are a family of computational methods built on graph-structured
factorizations of large tensors, which have long represented state-of-the-art methods for the …

Lie-algebraic classical simulations for variational quantum computing

ML Goh, M Larocca, L Cincio, M Cerezo… - arxiv preprint arxiv …, 2023 - arxiv.org
Classical simulation of quantum dynamics plays an important role in our understanding of
quantum complexity, and in the development of quantum technologies. Compared to other …

Graph neural network initialisation of quantum approximate optimisation

N Jain, B Coyle, E Kashefi, N Kumar - Quantum, 2022 - quantum-journal.org
Approximate combinatorial optimisation has emerged as one of the most promising
application areas for quantum computers, particularly those in the near term. In this work, we …