[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 …

Noisy intermediate-scale quantum algorithms

K Bharti, A Cervera-Lierta, TH Kyaw, T Haug… - Reviews of Modern …, 2022 - APS
A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

A versatile single-photon-based quantum computing platform

N Maring, A Fyrillas, M Pont, E Ivanov, P Stepanov… - Nature …, 2024 - nature.com
Quantum computing aims at exploiting quantum phenomena to efficiently perform
computations that are unfeasible even for the most powerful classical supercomputers …

Multi-qubit entanglement and algorithms on a neutral-atom quantum computer

TM Graham, Y Song, J Scott, C Poole, L Phuttitarn… - Nature, 2022 - nature.com
Gate-model quantum computers promise to solve currently intractable computational
problems if they can be operated at scale with long coherence times and high-fidelity logic …

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 …

Quantum algorithms for quantum chemistry and quantum materials science

B Bauer, S Bravyi, M Motta, GKL Chan - Chemical reviews, 2020 - ACS Publications
As we begin to reach the limits of classical computing, quantum computing has emerged as
a technology that has captured the imagination of the scientific world. While for many years …

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions

Y Alexeev, M Amsler, MA Barroca, S Bassini… - Future Generation …, 2024 - Elsevier
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …

[HTML][HTML] A quantum engineer's guide to superconducting qubits

P Krantz, M Kjaergaard, F Yan, TP Orlando… - Applied physics …, 2019 - pubs.aip.org
The aim of this review is to provide quantum engineers with an introductory guide to the
central concepts and challenges in the rapidly accelerating field of superconducting …

Error mitigation extends the computational reach of a noisy quantum processor

A Kandala, K Temme, AD Córcoles, A Mezzacapo… - Nature, 2019 - nature.com
Quantum computation, a paradigm of computing that is completely different from classical
methods, benefits from theoretically proved speed-ups for certain problems and can be used …

Quantum chemistry in the age of quantum computing

Y Cao, J Romero, JP Olson, M Degroote… - Chemical …, 2019 - ACS Publications
Practical challenges in simulating quantum systems on classical computers have been
widely recognized in the quantum physics and quantum chemistry communities over the …