TCS Targets Quantum Computing to Tackle Complex Problems

TCS is betting on quantum computers to address ultra‑complex tasks such as personalised cancer drug choices, financial portfolio optimisation, molecule discovery and severe‑weather forecasting. Chief Technology Officer Harrick Vin made the claim at IBM's Think 2026 conference in Mumbai, saying conventional chips struggle when outcomes multiply into the billions. He described four reasoning layers – descriptive, diagnostic, predictive and prescriptive – and warned that only quantum methods can handle the massive "what‑if" and "if‑what" calculations needed for deep predictive and prescriptive work. In health care, the technology could compare dozens of treatment routes for a single tumour, moving beyond tiny productivity gains to actually saving lives. In finance, it could reshape portfolio balancing by evaluating countless market scenarios at once. Vin stressed that quantum is still in its infancy, even earlier than the current AI boom, and urged firms to invest now rather than wait for mainstream adoption. He pictured a future stack that mixes CPUs, GPUs, TPUs and quantum processing units, with workloads routed to the most suitable hardware. Neuromorphic chips may also provide low‑power edge intelligence. Security‑wise, quantum breakthroughs could break today’s encryption, so organisations must plan for quantum‑safe cryptography. TCS joined IBM and the Andhra Pradesh government in a joint quantum initiative announced in May 2025, positioning itself to build expertise before the technology matures. ## Context Quantum computing promises exponential speed‑ups for certain calculations, but the hardware is still experimental and requires new software, security measures and hybrid architectures to be useful in real‑world business settings.