Quantum computing and cybersecurity: a rigorous systematic review of emerging threats, post-quantum solutions, and research directions (2019–2024)
Abstract
This systematic review examines the transformative impact of quantum computing (QC) on cybersecurity by analysing peer-reviewed literature published between 2019 and 2024. The study identifies the most pressing emerging threats, particularly the vulnerability of classical cryptographic systems to quantum algorithms such as Shor’s and Grover’s. It assesses the current state of post-quantum cryptography (PQC) solutions, including lattice-based schemes and hybrid frameworks integrating quantum key distribution (QKD). The originality of this work lies in its focus on synthesizing research across disciplines while critically evaluating implementation readiness, economic feasibility, and scalability particularly for internet of things (IoT) environments. Key contributions include the integration of real-world pilot case studies, a preferred reporting items for systematic reviews and meta-analyses (PRISMA) -based methodological framework, and a strategic outlook for interdisciplinary collaboration. This review provides significant insight into the evolving cybersecurity landscape and offers robust recommendations for policymakers, researchers, and practitioners aiming to navigate the quantum era with confidence.
How strong is the evidence?
Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
Read the paper
Related studies
- Chaos and quantum thermalization
- The Dalton quantum chemistry program system
- Cord Blood Leptin and Adiponectin as Predictors of Adiposity in Children at 3 Years of Age: A Prospective Cohort Study
- Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes
- Stable adiabatic quantum batteries
- A novel self-lipid antigen targets human T cells against CD1c(+) leukemias
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.