TY - CHAP
T1 - Quantum computing
T2 - vision and challenges
AU - Gill, Sukhpal Singh
AU - Cetinkaya, Oktay
AU - Marrone, Stefano
AU - Claudino, Daniel
AU - Haunschild, David
AU - Schlote, Leon
AU - Wu, Huaming
AU - Ottaviani, Carlo
AU - Liu, Xiaoyuan
AU - Machupalli, Sree Pragna
AU - Kaur, Kamalpreet
AU - Arora, Priyansh
AU - Liu, Ji
AU - Farouk, Ahmed
AU - Song, Houbing Herbert
AU - Uhlig, Steve
AU - Ramamohanarao, Kotagiri
N1 - Publisher Copyright:
© 2025 Elsevier Inc. All rights reserved.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - The recent development of quantum computing, which uses entanglement, superposition, and other quantum fundamental concepts, can provide substantial processing advantages over traditional computing. These quantum features help solve many complex problems that cannot be solved otherwise with conventional computing methods. These problems include modeling quantum mechanics, logistics, chemical-based advances, drug design, statistical science, sustainable energy, banking, reliable communication, and quantum chemical engineering. The last few years have witnessed remarkable progress in quantum software and algorithm creation and quantum hardware research, which has significantly advanced the prospect of realizing quantum computers. It would be helpful to have comprehensive literature research on this area to grasp the current status and find outstanding problems that require considerable attention from the research community working in the quantum computing industry. To better understand quantum computing, this paper examines the foundations and vision based on current research in this area. We discuss cutting-edge developments in quantum computer hardware advancement and subsequent advances in quantum cryptography, quantum software, and high-scalability quantum computers. Many potential challenges and exciting new trends for quantum technology research and development are highlighted in this paper for a broader debate.
AB - The recent development of quantum computing, which uses entanglement, superposition, and other quantum fundamental concepts, can provide substantial processing advantages over traditional computing. These quantum features help solve many complex problems that cannot be solved otherwise with conventional computing methods. These problems include modeling quantum mechanics, logistics, chemical-based advances, drug design, statistical science, sustainable energy, banking, reliable communication, and quantum chemical engineering. The last few years have witnessed remarkable progress in quantum software and algorithm creation and quantum hardware research, which has significantly advanced the prospect of realizing quantum computers. It would be helpful to have comprehensive literature research on this area to grasp the current status and find outstanding problems that require considerable attention from the research community working in the quantum computing industry. To better understand quantum computing, this paper examines the foundations and vision based on current research in this area. We discuss cutting-edge developments in quantum computer hardware advancement and subsequent advances in quantum cryptography, quantum software, and high-scalability quantum computers. Many potential challenges and exciting new trends for quantum technology research and development are highlighted in this paper for a broader debate.
KW - Quantum computing
KW - artificial intelligence
KW - cryptography
KW - cyber security
KW - machine learning
KW - qubits
UR - https://www.scopus.com/pages/publications/105019741753
U2 - 10.1016/B978-0-443-29096-1.00008-8
DO - 10.1016/B978-0-443-29096-1.00008-8
M3 - Chapter
AN - SCOPUS:105019741753
SN - 9780443290978
SP - 19
EP - 42
BT - Quantum Computing
PB - Elsevier
ER -