Eliza B. Ayo | Mary Grace M. Belgar | Bernabe M. Cabuhayan | Madelyn Gabion | Jean Bernadette C. Parcher | Raymond L. Peralta
Discipline: Computer Science
This paper presents a comprehensive systematic and bibliometric re-view of the rapidly expanding literature on quantum computing. The study addresses six research questions concerning prominent themes, temporal evolution, types of key findings, frequently re-ported research gaps, higher-order gap typologies, and future re-search directions. Utilizing a researcher-curated database, the final corpus comprises 153 studies compiled from non-Scopus, Scopus and Web of Science. The results demonstrate that quantum hardware and architecture, algorithms, and theoretical foundations dominate the current literature. Furthermore, publication output has risen signifi-cantly between 2018 and 2025. Among the reported findings, algo-rithmic innovations, performance claims, and hardware advance-ments are the most common. Despite this progress, the field faces sub-stantial barriers; technical, scalability, fault-tolerance, and methodo-logical-standardization gaps are the most frequently reported. Based on these identified gaps, eight actionable future research directions emerge to guide the scientific community. Ultimately, this review con-cludes that quantum computing is actively transitioning from a purely physics-driven domain into a multidisciplinary, engineering- and ap-plication-oriented science. However, its continued advancement is presently constrained by a hardware-methodology-application triad, wherein reporting practices often outpace empirical verification and standardized benchmarking.