This research demonstrates a Contextual Subspace Variational Quantum Eigensolver on superconducting hardware that successfully models N₂ molecular bond-breaking with superior accuracy to single-reference wavefunction techniques, achieved through comprehensive error mitigation strategies and circuit optimization while requiring fewer quantum resources than comparable classical approaches.
Scientists have presented an approach, ClusterVQE algorithm, to reduce quantum circuit complexity in VQE.
A team of researchers has proposed an efficient method for simultaneously optimizing both the structure and parameter values of quantum circuits with only a small computational overhead.
Microsoft proposes Quantum Intermediate Representation (QIR) to bridge different languages and target quantum computation platforms.
This paper presents how Quantum Computing may be a paradigm shift for the world of banking and financial institutions.