[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices

J Tilly, H Chen, S Cao, D Picozzi, K Setia, Y Li, E Grant… - Physics Reports, 2022 - Elsevier
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …

Perspective on the current state-of-the-art of quantum computing for drug discovery applications

NS Blunt, J Camps, O Crawford, R Izsák… - Journal of Chemical …, 2022 - ACS Publications
Computational chemistry is an essential tool in the pharmaceutical industry. Quantum
computing is a fast evolving technology that promises to completely shift the computational …

Measurement-induced entanglement phase transition on a superconducting quantum processor with mid-circuit readout

JM Koh, SN Sun, M Motta, AJ Minnich - Nature Physics, 2023 - nature.com
Quantum many-body systems subjected to unitary evolution with the addition of interspersed
measurements exhibit a variety of dynamical phases that do not occur under pure unitary …

Entanglement devised barren plateau mitigation

TL Patti, K Najafi, X Gao, SF Yelin - Physical Review Research, 2021 - APS
Hybrid quantum-classical variational algorithms are one of the most propitious
implementations of quantum computing on near-term devices, offering classical machine …

Entanglement phase transitions in measurement-only dynamics

M Ippoliti, MJ Gullans, S Gopalakrishnan, DA Huse… - Physical Review X, 2021 - APS
Unitary circuits subject to repeated projective measurements can undergo an entanglement
phase transition (EPT) as a function of the measurement rate. This transition is generally …

Exponential separations between learning with and without quantum memory

S Chen, J Cotler, HY Huang, J Li - 2021 IEEE 62nd Annual …, 2022 - ieeexplore.ieee.org
We study the power of quantum memory for learning properties of quantum systems and
dynamics, which is of great importance in physics and chemistry. Many state-of-the-art …

[HTML][HTML] Stochastic gradient descent for hybrid quantum-classical optimization

R Sweke, F Wilde, J Meyer, M Schuld… - Quantum, 2020 - quantum-journal.org
Within the context of hybrid quantum-classical optimization, gradient descent based
optimizers typically require the evaluation of expectation values with respect to the outcome …

[HTML][HTML] Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers

WJ Huggins, JR McClean, NC Rubin, Z Jiang… - npj Quantum …, 2021 - nature.com
Variational algorithms are a promising paradigm for utilizing near-term quantum devices for
modeling electronic states of molecular systems. However, previous bounds on the …

Fermionic partial tomography via classical shadows

A Zhao, NC Rubin, A Miyake - Physical Review Letters, 2021 - APS
We propose a tomographic protocol for estimating any k-body reduced density matrix (k-
RDM) of an n-mode fermionic state, a ubiquitous step in near-term quantum algorithms for …

Quantum computation of finite-temperature static and dynamical properties of spin systems using quantum imaginary time evolution

SN Sun, M Motta, RN Tazhigulov, ATK Tan, GKL Chan… - PRX Quantum, 2021 - APS
Developing scalable quantum algorithms to study finite-temperature physics of quantum
many-body systems has attracted considerable interest due to recent advancements in …