• Dr. Ritesh Kumar

AI and quantum computing (QC) are entering a phase of mutual acceleration in which models train, reason, and search with quantum resources, while AI designs, controls, and error-corrects quantum processors—a genuine entanglement that marks the dawn of a new computational epoch. We chart this co-evolution across the technical stack and argue that governance must be co-designed with capability from the outset. On the capability side, we map hybrid regimes spanning NISQ-to-fault-tolerant eras: quantum-enhanced sampling, optimization, and linear algebra for ML; quantum kernels and variational layers integrated into deep networks; and AI-guided compilation, calibration, error mitigation, and QEC scheduling that expand effective quantum volume. On the systems side, we outline cloud-native, heterogenous orchestration with pulse-level control, cryo-CMOS, photonic interconnects, and classical accelerators, stitched by learned compilers and uncertainty-aware controllers.

Quantum computing, AI Design, Noisy Intermediate-Scale Quantum (NISQ), cryo-CMOS.

"The Entangled Futures of AI and Quantum Computing: An Imperative for Governance at the Dawn of a New Computational Epoch", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.i281-i283, October-2023, Available :http://www.jetir.org/papers/JETIR2310738.pdf

"The Entangled Futures of AI and Quantum Computing: An Imperative for Governance at the Dawn of a New Computational Epoch", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppi281-i283, October-2023, Available at : http://www.jetir.org/papers/JETIR2310738.pdf