Reprint
Advances in Quantum Computing
Edited by
February 2024
486 pages
- ISBN978-3-7258-0020-9 (Hardback)
- ISBN978-3-7258-0019-3 (PDF)
This book is a reprint of the Special Issue Advances in Quantum Computing that was published in
Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
Summary
The field of quantum information science has seen tremendous progress over the last several years, with advances in both hardware development and novel algorithms. This Special Issue has endeavored to capture some of the technical advances in this rapidly changing field.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
quantum; LWE; QAOA; VQE; KYBER; satisfiability; maximum satisfiability; quantum counter; Grover search algorithm; quantum circuit; quantum computing; NISQ; open system; Bose–Einstein condensation; Gaussian boson sampling; quantum advantage; NP-hard problem; quantum algorithms; quantum walks; quantum spatial search; noise; binary classification; Grover algorithm; QNN; quantum codes; Reed–Solomon codes; BCH codes; maximal distance separable; maximal entanglement; quantum computation; quantum machine learning; K-nearest neighbor algorithm; quantum K-nearest neighbor algorithm; railway dispatching problem; quadratic unconstrained binary optimization (QUBO); quantum annealing; portfolio optimization problem; Quadratic Unconstrained Binary Optimization (QUBO); quantum annealing; hybrid algorithm; quantum computing; quantum variational algorithm; finite-element methods; Poisson equation; heat equation; quantum algorithms; quantum computing; algorithms; scalability; credit risk analysis; quantum finance; quantum computing; NISQ devices; random quantum circuits; link prediction; protein–protein interaction networks; random walks; quantum walks; quantum machine learning; quantum classification algorithms; quantum kernel methods; quantum information; DNA coding; quantum image encryption; quantum image scrambling; quantum machine learning; variational quantum circuit; quantum kernel estimator; Qiskit; Ridge; Lasso; XGBoost; LightGBM; CatBoost; classification; quantum computing; boost classifiers; neural networks; quantum key distribution; asymmetric MDI-QKD; advantage distillation technology; quantum computing; quantum simulation; quantum approximate optimization algorithm; traveling salesman problem; noisy simulation; plagiarism detection; semantic analysis; optimization; quantum evolutionary algorithms; quantum walk; adiabatic quantum computing; adiabatic path scheduling; catalyst Hamiltonian; honeypot; post-quantum security; quantum security; quantum networks; QAOA; mixing operator; entangled operator; non-entangled operator; convolution; quantum algorithms; quantum image processing; quantum computing; n/a