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Bharath Sambasivam

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Preprint Oct 2026

Post-Optimization Subspace Corrections to Quantum Ans\"atze

Circuit depth and measurement count are the main limitations for chemical applications of the leading variational quantum algorithms on quantum computers. We show that both resource requirements can be reduced by augmenting adaptive variational quantum algorithms with post-optimization corrective techniques. We focus o...

P. F. Kwao, Bharath Sambasivam, Jason Saroni et al. · 0 citations
Preprint Sep 2026

A Case Study on Noise Resilient Operator Selection in Adaptive Variational Quantum Algorithms

This work examines the impact of a variety of noise channels on the critical operator selection step of ADAPT-VQE, showing that, despite the selection criterion's natural resilience to some noise, both coherent and incoherent noise can prevent convergence for sufficiently high noise rates.

Soorya Haravu, Mafalda Ramôa, Bharath Sambasivam · 0 citations

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