[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
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 …
received significant attention from the research community in recent years. It uses the …
A review on quantum approximate optimization algorithm and its variants
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …
variational quantum algorithm that aims to solve combinatorial optimization problems that …
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
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 …
of novel materials. Computationally hard tasks in materials science stretch the limits of …
Quantum computing and industrial information integration: A review
Y Lu, A Sigov, L Ratkin, LA Ivanov, M Zuo - Journal of Industrial Information …, 2023 - Elsevier
Originally a part of the study of physics, quantum mechanics is fast becoming an
interdisciplinary field. Quantum computing offers the potential to reach the higher levels of …
interdisciplinary field. Quantum computing offers the potential to reach the higher levels of …
[HTML][HTML] Quantum computing for near-term applications in generative chemistry and drug discovery
Highlights•Drug discovery is time consuming, expensive and experiences increasing
challenges.•Generation of new drug candidates is one of the major challenges.•Quantum …
challenges.•Generation of new drug candidates is one of the major challenges.•Quantum …
Fermionic quantum processing with programmable neutral atom arrays
Simulating the properties of many-body fermionic systems is an outstanding computational
challenge relevant to material science, quantum chemistry, and particle physics.-5.4 pc] …
challenge relevant to material science, quantum chemistry, and particle physics.-5.4 pc] …
Exact electronic states with shallow quantum circuits from global optimisation
Quantum computers promise to revolutionise molecular electronic simulations by
overcoming the exponential memory scaling. While electronic wave functions can be …
overcoming the exponential memory scaling. While electronic wave functions can be …
Nuclear shell-model simulation in digital quantum computers
The nuclear shell model is one of the prime many-body methods to study the structure of
atomic nuclei, but it is hampered by an exponential scaling on the basis size as the number …
atomic nuclei, but it is hampered by an exponential scaling on the basis size as the number …
Quantum support vector machine for classifying noisy data
Noisy data is ubiquitous in quantum computer, greatly affecting the performance of various
algorithms. However, existing quantum support vector machine models are not equipped …
algorithms. However, existing quantum support vector machine models are not equipped …
Spin-flip unitary coupled cluster method: Toward accurate description of strong electron correlation on quantum computers
Quantum computers have emerged as a promising platform to simulate strong electron
correlation that is crucial to catalysis and photochemistry. However, owing to the choice of a …
correlation that is crucial to catalysis and photochemistry. However, owing to the choice of a …