Authors - Shiwani Wagh, Shubham Kishor Kadam, Utkarsha Wanjari Abstract - The coupling of quantum computing and behavioural analytics signals broader opportunities for human resource management (HRM) and, in particular, talent management. In an age where we are using massive, multidimensional data sets simply for workforce planning and retention strategies, traditional HR approaches falter too frequently beneath the weight of such complexity. Moreover, that brings us to the flip side of the coin: quantum computing, the trading depth of behavioural analytics, for qubits for data processing power. This research explores how these technologies con-fluence to provide new solutions for Recruitment, Employee retention, Workforce development, Organisation Planning, etc. By combining predictive analytics and personalized interventions to make treatment decisions, quantum-enhanced behavioural analytics can support a targeted approach to behavioural analytics. Additional applications include pipeline optimization, attrition risk prediction, and alignment of development programs with business goals. On the other hand, while we have these new frontiers, we also have technical limitations, ethical concerns about data privacy, and the potential for biases in decision-making. To address these, they need to be driven by robust governance, ethical frameworks and upskilling of our HR professionals. The potential synergy with this is brought out in this paper, with a recommendation for its ethically implemented use in HR practices. The next frontier in HRM includes quantum computing and behavioural analytics, which will aid in the bolstering of workforce engagement and organizational success through data-driven, human-centred strategies.
