TY - JOUR
T1 - Quantum computing and its implications for Asian innovation ecosystems
AU - Wang, Jianling
AU - David, Lemuel Kenneth
AU - Cisse, Idrissa I.
AU - Angel, Vanessa
N1 - Publisher Copyright:
© ASIALICS, STEPI 2024.
PY - 2025
Y1 - 2025
N2 - Where quantum computing is emerging as a catalyst for innovation, this paper investigates its influence on R&D efficiency and innovation outcomes across 4,500 firms in six key sectors–pharmaceuticals, finance, materials science, energy, telecommunications, and logistics–in Asia between 2015 and 2024. The study employs advanced models, including Agent-Based Modeling (ABM), Bayesian Networks, Support Vector Machines (SVM), and Markov Chains, to analyse the relationship between quantum computing investments and innovation performance. The results indicate that high-R&D sectors, such as pharmaceuticals and finance, benefit most from quantum computing due to its role in accelerating drug discovery and optimising risk management. In contrast, low-R&D sectors like telecommunications and logistics face slower adoption due to infrastructure challenges and limited resources. Government support, particularly through subsidies and tax incentives, enhances the impact of quantum computing investments on innovation outcomes, especially in high-R&D industries. This study addresses key gaps by providing empirical evidence of quantum computing’s role in driving sectoral innovation and offering actionable insights for policymakers and industry leaders.
AB - Where quantum computing is emerging as a catalyst for innovation, this paper investigates its influence on R&D efficiency and innovation outcomes across 4,500 firms in six key sectors–pharmaceuticals, finance, materials science, energy, telecommunications, and logistics–in Asia between 2015 and 2024. The study employs advanced models, including Agent-Based Modeling (ABM), Bayesian Networks, Support Vector Machines (SVM), and Markov Chains, to analyse the relationship between quantum computing investments and innovation performance. The results indicate that high-R&D sectors, such as pharmaceuticals and finance, benefit most from quantum computing due to its role in accelerating drug discovery and optimising risk management. In contrast, low-R&D sectors like telecommunications and logistics face slower adoption due to infrastructure challenges and limited resources. Government support, particularly through subsidies and tax incentives, enhances the impact of quantum computing investments on innovation outcomes, especially in high-R&D industries. This study addresses key gaps by providing empirical evidence of quantum computing’s role in driving sectoral innovation and offering actionable insights for policymakers and industry leaders.
KW - Agent-Based Modeling
KW - Bayesian Networks
KW - Markov Chains
KW - Quantum computing
KW - R&D efficiency
KW - Support Vector Machines
KW - government support
KW - innovation ecosystems
UR - https://www.scopus.com/pages/publications/85208813739
U2 - 10.1080/19761597.2024.2420920
DO - 10.1080/19761597.2024.2420920
M3 - 文章
AN - SCOPUS:85208813739
SN - 1976-1597
VL - 33
SP - 932
EP - 981
JO - Asian Journal of Technology Innovation
JF - Asian Journal of Technology Innovation
IS - 3
ER -