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Spin-liquids -- an emergent, exotic collective phase of matter -- havegarnered enormous attention in recent years. While experimentally, manyprospective candidates have been proposed and realized, theoretically modelingreal materials that display such behavior may pose serious challenges due tothe inherently high correlation content of emergent phases. Over the last fewdecades, the second-quantum revolution has been the harbinger of a novelcomputational paradigm capable of initiating a foundational evolution incomputational physics. In this report, we strive to use the power of the latterto study a prototypical model -- a spin-$\frac{1}{2}$-unit cell of a Kagomeanti-ferromagnet. Extended lattices of such unit cells are known to possess amagnetically disordered spin-liquid ground state. We employ robust classicalnumerical techniques like Density-Matrix Renormalization Group (DMRG) toidentify the nature of the ground state through a matrix-product state (MPS)formulation. We subsequently use the gained insight to construct an auxillaryhamiltonian with reduced measurables and also design an ansatz that is modularand gate efficient. With robust error-mitigation strategies, we are able todemonstrate that the said ansatz is capable of accurately representing thetarget ground state even on a real IBMQ backend within $1\%$ accuracy inenergy. Since the protocol is linearly scaling $O(n)$ in the number of unitcells, gate requirements, and the number of measurements, it isstraightforwardly extendable to larger Kagome lattices which can pave the wayfor efficient construction of spin-liquid ground states on a quantum device.

Physics inspired quantum simulation of resonating valence bond states -- a prototypical template for a spin-liquid ground state