Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Quantum computation: theoryand implementation at IBM Q

Javier Galván Fraile

Published Jan 1, 2019• 0 citations
OpenAlex

Related papers

Implementation of Shor’s Algorithm by Q# -Usage of IBM’s Quantum Computer-

万里川 則亮, 隆幸 平田, Noriaki Marikawa +1 more

Quantum computing is a scientific topic of people beyond computer researchers` community. Some companies offer service of usage of quantum computer to the people who want to use quantum computer. Various quantum computers are now working, which are open use for public users via online. Now we stand at the dawn of the utilization of quantum computers. There are some computer languages for quantum computing. We report the usage of Q# that was developed by IBM, and the implementation of Shor’s algorithm on IBM’s cloud computing.

•Mar 1, 2022•0 citations

Quantum Computation: Overview

Mahn‐Soo Choi

Springer eBooks•Jan 1, 2022•0 citations

Quintuple: A Tool for Introducing Quantum Computing Into the Classroom

C. Corbett Moran

In May 2016 IBM released access to its 5-qubit quantum computer to the scientific community, its “IBM Quantum Experience” since acquiring over 60,000 users from students, educators and researchers around the globe. In the time since the “IBM Quantum Experience” became available, a flurry of research results on 5-qubit systems has been published derived from the platform hardware. Quintuple is an open-source object-oriented Python module implementing the ideal simulation of “IBM’s Quantum Experience” hardware. Quintuple quantum algorithms can be programmed and run via a custom language fully compatible with the “IBM’s Quantum Experience” or in pure Python. Over 40 example programs are provided with expected results, including Grover’s Algorithm and the Deutsch-Jozsa algorithm. Quintuple’s implementation is aimed at students and educators wishing to incorporate quantum computing into the classroom and enables students to follow a quantum computing calculation step-by-step and to verify hand calculations. For these students and educators, Quintuple contributes to the study of 5-qubit systems and the development and debugging of quantum algorithms for deployment on the “IBM Quantum Experience” hardware.

Frontiers in Physics•Jul 19, 2018•7 citations

Quantum Computation - Theory and Experiments

A. K. Ekert

International Conference on Solid State Devices and Materials (SSDM)•Sep 18, 1999•3 citations

Quantum Computing based Implementation of Full Adder

Mohammed Arifuddin Sohel, Naailah Zia, Mohd Akef Ali +1 more

Quantum computing is the most advanced form of computing that is evolving today. Classical computers work on binary bits - 0 or 1, but quantum computers work on quantum bits or qubits which can be in the state 0 and 1 simultaneously and exhibit properties like superposition and entanglement. This paper proposes the implementation of a full adder with the concepts of quantum computing using quantum gates on IBM composer. IBM composer is the choice of tool for this paper, and the resultant speed of operation is calculated to be 6.064ms for 1024 shots (1 shot is 100 repetitions). By designing a full adder in this paper, it is contemplated that more complicated digital circuitry will be implemented on quantum computers in near future, thus paving the way for bringing high speed quantum computing in our daily lives to solve critical problems that are unresolvable by conventional computing.

International Conference for Innovation in Technology (INOCON)•Nov 6, 2020•16 citations

Quantum computation: Algorithms and Applications

Chien‐Hung Cho, Chih-Yu Chen, Kuo-Chin Chen +6 more

Chinese Journal of Physics•May 8, 2021•48 citations
Quantum computing is a scientific topic of people beyond computer researchers` community. Some companies offer service of usage of quantum computer to the people who want to use quantum computer. Various quantum computers are now working, which are open use for public users via online. Now we stand at the dawn of the utilization of quantum computers. There are some computer languages for quantum computing. We report the usage of Q# that was developed by IBM, and the implementation of Shor’s algorithm on IBM’s cloud computing.
In May 2016 IBM released access to its 5-qubit quantum computer to the scientific community, its “IBM Quantum Experience” since acquiring over 60,000 users from students, educators and researchers around the globe. In the time since the “IBM Quantum Experience” became available, a flurry of research results on 5-qubit systems has been published derived from the platform hardware. Quintuple is an open-source object-oriented Python module implementing the ideal simulation of “IBM’s Quantum Experience” hardware. Quintuple quantum algorithms can be programmed and run via a custom language fully compatible with the “IBM’s Quantum Experience” or in pure Python. Over 40 example programs are provided with expected results, including Grover’s Algorithm and the Deutsch-Jozsa algorithm. Quintuple’s implementation is aimed at students and educators wishing to incorporate quantum computing into the classroom and enables students to follow a quantum computing calculation step-by-step and to verify hand calculations. For these students and educators, Quintuple contributes to the study of 5-qubit systems and the development and debugging of quantum algorithms for deployment on the “IBM Quantum Experience” hardware.
Quantum computing is the most advanced form of computing that is evolving today. Classical computers work on binary bits - 0 or 1, but quantum computers work on quantum bits or qubits which can be in the state 0 and 1 simultaneously and exhibit properties like superposition and entanglement. This paper proposes the implementation of a full adder with the concepts of quantum computing using quantum gates on IBM composer. IBM composer is the choice of tool for this paper, and the resultant speed of operation is calculated to be 6.064ms for 1024 shots (1 shot is 100 repetitions). By designing a full adder in this paper, it is contemplated that more complicated digital circuitry will be implemented on quantum computers in near future, thus paving the way for bringing high speed quantum computing in our daily lives to solve critical problems that are unresolvable by conventional computing.