Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
8.5
4.4
Journals
Nanomaterials
Special Issues
Progress in Quantum-Computer Calculations
share announcement

Progress in Quantum-Computer Calculations

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Theory and Simulation of Nanostructures".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3917

Special Issue Editor

Dr. Martin Friák

E-Mail Website
Guest Editor
Institute of Physics of Materials of the Czech Academy of Sciences, Brno, Czech Republic
Interests: computational materials science; multi-scale modelling; solid-state physics and chemistry; magnetism; phase stability and transformations; nanosystems; quantum technologies; quantum computers
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

Electronic structure calculations have become an indispensable theoretical tool in physics, chemistry, and materials science. After four decades of rapid development, these calculations now allow us to study systems consisting of up to a few thousands of atoms. Further upscaling to yet bigger systems, such as those encountered in nanoparticles and other nanosystems, is all too often hindered by limited computer power of classical (super-)computers. Fortunately, there is a newly emerging class of quantum computers that should soon provide an exponentially higher computer power. Albeit promising, quantum computers are still in their infancy, and basic algorithms need to be developed.

This Special Issue welcomes submissions focused primarily (but not solely) on recent developments in the broad field of quantum computers and their applications, especially software tools allowing for electronic structure calculations on quantum computers in physics, chemistry or materials science, as well as calculations on (i) either classical computer simulators of quantum processors or (ii) actual quantum computers.

Dr. Martin Friák
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nanomaterials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • quantum computers
  • quantum algorithms
  • variational quantum eigensolvers
  • nanosystems
  • electronic structure
  • quantum technologies

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

9 pages, 2365 KiB  
Article
Electronic Structure of Monolayer FeSe on Si(001) from First Principles
by Karel Carva, Petru Vlaic and Jan Honolka
Nanomaterials 2022, 12(2), 270; https://doi.org/10.3390/nano12020270 - 14 Jan 2022
Viewed by 2451
Abstract
The huge increase in the superconducting transition temperature of FeSe induced by an interface to SrTiO3 remains unexplained to date. However, there are numerous indications of the critical importance of specific features of the FeSe band topology in the vicinity of the [...] Read more.
The huge increase in the superconducting transition temperature of FeSe induced by an interface to SrTiO3 remains unexplained to date. However, there are numerous indications of the critical importance of specific features of the FeSe band topology in the vicinity of the Fermi surface. Here, we explore how the electronic structure of FeSe changes when located on another lattice matched substrate, namely a Si(001) surface, by first-principles calculations based on the density functional theory. We study non-magnetic (NM) and checkerboard anti-ferromagnetic (AFM) magnetic orders in FeSe and determine which interface arrangement is preferred. Our calculations reveal interesting effects of Si proximity on the FeSe band structure. Bands corresponding to hole pockets at the Γ point in NM FeSe are generally pushed down below the Fermi level, except for one band responsible for a small remaining hole pocket. Bands forming electron pockets centered at the M point of the Brillouin zone become less dispersive, and one of them is strongly hybridized with Si. We explain these changes by a redistribution of electrons between different Fe 3d orbitals rather than charge transfer to/from Si, and we also notice an associated loss of degeneracy between dxz and dyz orbitals. Full article
(This article belongs to the Special Issue Progress in Quantum-Computer Calculations)
►▼ Show Figures

Figure 1

22 pages, 1299 KiB  
Article
The Cost of Improving the Precision of the Variational Quantum Eigensolver for Quantum Chemistry
by Ivana Miháliková, Matej Pivoluska, Martin Plesch, Martin Friák, Daniel Nagaj and Mojmír Šob
Nanomaterials 2022, 12(2), 243; https://doi.org/10.3390/nano12020243 - 14 Jan 2022
Cited by 11 | Viewed by 3011
Abstract
New approaches into computational quantum chemistry can be developed through the use of quantum computing. While universal, fault-tolerant quantum computers are still not available, and we want to utilize today’s noisy quantum processors. One of their flagship applications is the variational quantum eigensolver [...] Read more.
New approaches into computational quantum chemistry can be developed through the use of quantum computing. While universal, fault-tolerant quantum computers are still not available, and we want to utilize today’s noisy quantum processors. One of their flagship applications is the variational quantum eigensolver (VQE)—an algorithm for calculating the minimum energy of a physical Hamiltonian. In this study, we investigate how various types of errors affect the VQE and how to efficiently use the available resources to produce precise computational results. We utilize a simulator of a noisy quantum device, an exact statevector simulator, and physical quantum hardware to study the VQE algorithm for molecular hydrogen. We find that the optimal method of running the hybrid classical-quantum optimization is to: (i) allow some noise in intermediate energy evaluations, using fewer shots per step and fewer optimization iterations, but ensure a high final readout precision; (ii) emphasize efficient problem encoding and ansatz parametrization; and (iii) run all experiments within a short time-frame, avoiding parameter drift with time. Nevertheless, current publicly available quantum resources are still very noisy and scarce/expensive, and even when using them efficiently, it is quite difficult to perform trustworthy calculations of molecular energies. Full article
(This article belongs to the Special Issue Progress in Quantum-Computer Calculations)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop