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

Computing in Science & Engineering

Quantum Computing Is Exciting and Important--Really!

Charles Day

Published Mar 1, 2007• 12 citations
Publisher

Abstract

Quantum computing, say its champions, promises prodigious power. its basic currency, the qubit, exists in an on/off limbo until it's read out, so if you could operate on kqubits, a potentially vast space of 2kvalues opens up for computation. the fundamental operation on qubits is a rotation. Combine the rotations, and you have logic gates. Combine the logic gates, and you have algorithms. In principle, these algorithms can perform calculations far beyond classical computing's conceivable reach

DOI
10.1109/mcse.2007.37

Related papers

Quantum Computing

Dr. R. N. Ravikumar Dr. M. Earnest Stephen Gnanadoss Mr. L. Madhi Madhan Mr.Shiv Gulam

Quantum Computing represents a transformative shift in the way we process information. Rooted in the principles of quantum mechanics—superposition, entanglement, and interference—it promises computational capabilities far beyond the reach of classical machines. Problems once considered intractable, such as large-scale optimization, cryptographic analysis, and complex system simulations, now appear within conceivable reach. This book is designed to provide a clear and structured introduction to the foundations and frontiers of quantum computing. It bridges the gap between theory and practice, guiding readers from the fundamental concepts of qubits and quantum gates to advanced topics such as quantum algorithms, error correction, and emerging quantum architectures. Mathematical rigor is balanced with intuitive explanations, ensuring accessibility for students, researchers, and professionals from diverse backgrounds in science, engineering, and computing.

•Jan 20, 2026•0 citations

View On Quantum Computing Digital Era

Rohit S. Lande, Shahu P. Rasal, Archana L. Rane

Quantum computing, a revolutionary paradigm shift in computation, leverages the principles of quantum mechanics to perform tasks beyond the capabilities of classical computers. By harnessing the power of quantum bits (qubits), which can exist in superpositions of states and exhibit entanglement, quantum computers offer the potential to revolutionize fields such as chemistry, materials science, cryptography, and artificial intelligence. This paper delves into the fundamental concepts of quantum computing, including superposition, entanglement, and quantum gates. We explore the development of quantum hardware, encompassing various technologies like superconducting qubits, ion traps, and photonic qubits. Additionally, we discuss the limitations and challenges faced in building scalable and error-corrected quantum computers, such as decoherence and noise. The potential applications of quantum computing are vast and far-reaching. In the realm of quantum chemistry and materials science, quantum computers can simulate complex molecular systems, enabling the design of novel materials and drugs. In the field of cryptography, quantum computers pose a significant threat to classical cryptographic algorithms, necessitating the development of quantum-resistant cryptographic techniques. Furthermore, quantum machine learning holds the promise of accelerating AI advancements by enabling the development of powerful quantum algorithms.

Iconic Research and Engineering Journals•Apr 27, 2026•0 citations

Work with what you’ve got

Boaz Barak

Quantum computing combines great promise with daunting challenges — the road to devices that solve real-world problems is still long. Now, an implementation of a quantum algorithm maps the problems we want to solve to the devices we already have.

Nature Physics•Feb 4, 2021•0 citations

Exploring the Current State of Quantum Computing

David Alan Grier

Quantum computing promises to help us someday reach impressive computing speed. Explains briefly what quantum computing is and discusses future applications for its use.

Computer•Jun 1, 2019•1 citation

QUANTUM COMPUTING AND ITS PLACE IN HIGHER EDUACTION: NAVIGATING OPPORTUNITIES AND CHALLENGES

H M Dhanush & Dr. Omprakash H M

Quantum computing represents a shift in how we process information, rooted not in classical binary logic but in the principles of quantum mechanics. While traditional computers operate with bits (binary units of information that are either 0 or 1) quantum computers use qubits, which can exist in multiple states simultaneously thanks to phenomena of superposition and entanglement. This allows quantum machines to explore vast solution spaces in parallel, making them exponentially more powerful than classical computers for certain types of problems. Quantum computing allows fundamentally different approaches to computation that excels at simulating complex systems, solving optimization problems, and processing probabilistic data. Fields such as cryptography, materials science, climate modeling, and drug discovery are already exploring its potential. As quantum hardware matures, it is expected to complement classical systems, unlocking capabilities that were previously out of reach, even for the most powerful supercomputers. The implications for education, both in terms of what is taught and how learning systems operate, are far-reaching. While artificial intelligence has already introduced significant disruption to educational systems, quantum computing stands to exponentially amplify these shifts. Quantum-AI systems, which leverage probabilistic computing to process high-dimensional data and explore vast solution spaces in parallel, may redefine how learning environments adapt, how decisions are optimized, and how institutional systems are structured. This convergence of quantum computing and AI introduces fundamentally new computational logics that challenge conventional models of curriculum design, assessment, and pedagogical agency.

Scholarly Research Journal for Interdisciplinary Studies•Jan 29, 2026•0 citations

Quantum Computing Circuit Design: A Tutorial

Seham Al Abdul Wahid, Arghavan Asad, Rupinder Kaur +1 more

Recent advancements in computing speed and capacity of Artificial Intelligence (AI) algorithms have reached a saturation level in performance due to the continuous application of Moore's law which resulted in the memory wall phenomenon. Quantum computing (QC), based on the principles of quantum mechanics which include superposition and entanglement, has the potential to contribute to the advancements of AI by providing exponential speedup. Quantum computers use quantum bits, also known as qubits, as the metric to demonstrate the power of quantum technology. Qubits, the fundamental unit of quantum information can exist in two states, 0 and 1, simultaneously, leveraging the principle of superposition. Quantum gates are the building blocks of quantum circuits, operating on qubits to transform one quantum state into another, and are comparative to classical logic gates. Designing and simulating quantum circuits can be completed using the Qiskit library design by IBM. Qiskit is a cloud-based, open access platform to real quantum computers with 5 to 16 qubits. This paper offers a straightforward tutorial on implementing one, two and three-qubit quantum gates, as well as designing quantum circuits using the Qiskit library, illustrated with an example of a quantum half adder implementation.

International Conference on Advanced Scientific Computing (ICASC)•Oct 23, 2024•3 citations
Quantum computing, say its champions, promises prodigious power. its basic currency, the qubit, exists in an on/off limbo until it's read out, so if you could operate on kqubits, a potentially vast space of 2kvalues opens up for computation. the fundamental operation on qubits is a rotation. Combine the rotations, and you have logic gates. Combine the logic gates, and you have algorithms. In principle, these algorithms can perform calculations far beyond classical computing's conceivable reach
Quantum Computing represents a transformative shift in the way we process information. Rooted in the principles of quantum mechanics—superposition, entanglement, and interference—it promises computational capabilities far beyond the reach of classical machines. Problems once considered intractable, such as large-scale optimization, cryptographic analysis, and complex system simulations, now appear within conceivable reach. This book is designed to provide a clear and structured introduction to the foundations and frontiers of quantum computing. It bridges the gap between theory and practice, guiding readers from the fundamental concepts of qubits and quantum gates to advanced topics such as quantum algorithms, error correction, and emerging quantum architectures. Mathematical rigor is balanced with intuitive explanations, ensuring accessibility for students, researchers, and professionals from diverse backgrounds in science, engineering, and computing.
Quantum computing, a revolutionary paradigm shift in computation, leverages the principles of quantum mechanics to perform tasks beyond the capabilities of classical computers. By harnessing the power of quantum bits (qubits), which can exist in superpositions of states and exhibit entanglement, quantum computers offer the potential to revolutionize fields such as chemistry, materials science, cryptography, and artificial intelligence. This paper delves into the fundamental concepts of quantum computing, including superposition, entanglement, and quantum gates. We explore the development of quantum hardware, encompassing various technologies like superconducting qubits, ion traps, and photonic qubits. Additionally, we discuss the limitations and challenges faced in building scalable and error-corrected quantum computers, such as decoherence and noise. The potential applications of quantum computing are vast and far-reaching. In the realm of quantum chemistry and materials science, quantum computers can simulate complex molecular systems, enabling the design of novel materials and drugs. In the field of cryptography, quantum computers pose a significant threat to classical cryptographic algorithms, necessitating the development of quantum-resistant cryptographic techniques. Furthermore, quantum machine learning holds the promise of accelerating AI advancements by enabling the development of powerful quantum algorithms.
Quantum computing represents a shift in how we process information, rooted not in classical binary logic but in the principles of quantum mechanics. While traditional computers operate with bits (binary units of information that are either 0 or 1) quantum computers use qubits, which can exist in multiple states simultaneously thanks to phenomena of superposition and entanglement. This allows quantum machines to explore vast solution spaces in parallel, making them exponentially more powerful than classical computers for certain types of problems. Quantum computing allows fundamentally different approaches to computation that excels at simulating complex systems, solving optimization problems, and processing probabilistic data. Fields such as cryptography, materials science, climate modeling, and drug discovery are already exploring its potential. As quantum hardware matures, it is expected to complement classical systems, unlocking capabilities that were previously out of reach, even for the most powerful supercomputers. The implications for education, both in terms of what is taught and how learning systems operate, are far-reaching. While artificial intelligence has already introduced significant disruption to educational systems, quantum computing stands to exponentially amplify these shifts. Quantum-AI systems, which leverage probabilistic computing to process high-dimensional data and explore vast solution spaces in parallel, may redefine how learning environments adapt, how decisions are optimized, and how institutional systems are structured. This convergence of quantum computing and AI introduces fundamentally new computational logics that challenge conventional models of curriculum design, assessment, and pedagogical agency.
Recent advancements in computing speed and capacity of Artificial Intelligence (AI) algorithms have reached a saturation level in performance due to the continuous application of Moore's law which resulted in the memory wall phenomenon. Quantum computing (QC), based on the principles of quantum mechanics which include superposition and entanglement, has the potential to contribute to the advancements of AI by providing exponential speedup. Quantum computers use quantum bits, also known as qubits, as the metric to demonstrate the power of quantum technology. Qubits, the fundamental unit of quantum information can exist in two states, 0 and 1, simultaneously, leveraging the principle of superposition. Quantum gates are the building blocks of quantum circuits, operating on qubits to transform one quantum state into another, and are comparative to classical logic gates. Designing and simulating quantum circuits can be completed using the Qiskit library design by IBM. Qiskit is a cloud-based, open access platform to real quantum computers with 5 to 16 qubits. This paper offers a straightforward tutorial on implementing one, two and three-qubit quantum gates, as well as designing quantum circuits using the Qiskit library, illustrated with an example of a quantum half adder implementation.