MISTIQS: An open-source software for performing quantum dynamics simulations on quantum computers

Powers, Connor; Bassman, Lindsay; Linker, Thomas; Nomura, Kenichi; Gulania, Sahil; Kalia, Rajiv K.; Nakano, Aiichiro; Vashishta, Priya

doi:10.1016/j.softx.2021.100696

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…Among all available cloud-based quantum computers, it was determined that based on 58 articles accepted after quality appraisal, the used cloud-based quantum computer was summarized in Table 4. Additionally, it was determined that several articles had addressed numbers of cloud-based quantum computing platforms in its articles [20,46,[50][51][52][53][54][55][56][57][58][59].…”

Section: Cloud-based Quantum Computingmentioning

confidence: 99%

Quantum Computing in The Cloud - A Systematic Literature Review

Asyraf Zhahir,

Munirah Mohd,

Ilias M Shuhud

et al. 2024

Int. j. electr. comput. eng. syst. (Online)

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Quantum computing was proposed to simulate processes that surpass the capabilities of its counterpart, classical computing. Utilizing the principles of quantum mechanics, it improves the computing power of quantum computing. Top developers namely IBM, Rigetti, D-Wave, Qutech and Google have invested greatly in the technology. Nowadays, users can access the quantum computing system publicly over the network in a cloud environment, this system architecture is known as cloud-based quantum computing. However, different developers deliver different architecture and functionality of the system on their platforms. This has indirectly spawned a question of which cloud-based quantum computing platform is a better option based on certain specific requirements by an individual or group. The main objective of this study is to provide a proposed framework using the existing cloud-based service of quantum computing based on previous studies for users with their specific demands.

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Section: Cloud-based Quantum Computingmentioning

confidence: 99%

Quantum Computing in The Cloud - A Systematic Literature Review

Asyraf Zhahir,

Munirah Mohd,

Ilias M Shuhud

et al. 2024

Int. j. electr. comput. eng. syst. (Online)

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“…ORNL Methods for VQE, QPE, and real-and imaginary-time evolution for use in materials simulations MISTIQS[140] USC Full-stack, high-level programming library for dynamic simulations of the Heisenberg model ArQTiC[141] LBNL Full-stack, high-level programming library for zero-and finite-temperature dynamic simulations of materials modeled by spin-lattices…”

mentioning

confidence: 99%

Simulating Quantum Materials with Digital Quantum Computers

Bassman,

Urbanek,

Metcalf

et al. 2021

Preprint

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Quantum materials exhibit a wide array of exotic phenomena and practically useful properties. A better understanding of these materials can provide deeper insights into fundamental physics in the quantum realm as well as advance technology for entertainment, healthcare, and sustainability. The emergence of digital quantum computers (DQCs), which can efficiently perform quantum simulations that are otherwise intractable on classical computers, provides a promising path forward for testing and analyzing the remarkable, and often counter-intuitive, behavior of quantum materials. Equipped with these new tools, scientists from diverse domains are racing towards achieving physical quantum advantage (i.e., using a quantum computer to learn new physics with a computation that cannot feasibly be run on any classical computer). The aim of this review, therefore, is to provide a summary of progress made towards this goal that is accessible to scientists across the physical sciences. We will first review the available technology and algorithms, and detail the myriad ways to represent materials on quantum computers. Next, we will showcase the simulations that have been successfully performed on currently available DQCs, emphasizing the variety of properties, both static and dynamic, that can be studied with this nascent technology. Finally, we work through two examples of how to map a materials problem onto a DQC, with full code included in the Supplementary Material. It is our hope that this review can serve as an organized overview of progress in the field for domain experts and an accessible introduction to scientists in related fields interested in beginning to perform their own simulations of quantum materials on DQCs.

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Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm

Ullah

Chakir

2022

Multimed Tools Appl

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Since its inception, cloud computing has greatly transformed our lives by connecting the entire world through shared computational resources over the internet. The COVID-19 pandemic has also disrupted the traditional learning and businesses and led us towards an era of cloud-based activities. Virtual machine is one of the main elements of virtualization in cloud computing that represents physical server into the virtual machine. The utilizations of these VM’s are important to achieved effective task scheduling mechanism in cloud environment. This paper focuses on improvment of the task distribution system in VM for cloud computing using load balancing technique. For that reason modification took place at Bat algorithm fitness function value this section used in load balancer section. When algorithm iteration are complete then time to distribute the task among different VM therefore in this section of algorithm was modified. The second modification took place at the search process of Bat at dimension section. The proposed algorithm is known as modified Bat algorithm. Four parameter are used to check the performance of the system which are throughput, makespan, degree of imbalance and processing time. The proposed algorithm provides efficient result as compaire to other standard technique. Hence the proposed algorithm improved cloud data center accuracy and efficiency.

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MISTIQS: An open-source software for performing quantum dynamics simulations on quantum computers

Cited by 6 publications

References 22 publications

Quantum Computing in The Cloud - A Systematic Literature Review

Quantum Computing in The Cloud - A Systematic Literature Review

Simulating Quantum Materials with Digital Quantum Computers

Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm

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