6 citations · 7 across the 4 of their papers we have counts for
5 papers · 1 filter
Post-Optimization Subspace Corrections to Quantum Ansätze
Prince Frederick Kwao, Bharath Sambasivam, Jason Saroni +3
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 resourc…
Quantum simulation of molecular excited-state manifolds and energies using the TEPID-ADAPT-VQE algorithm
Jason Saroni, Bharath Sambasivam, Ayush Asthana +1
The simulation of molecular excited states is a key challenge in quantum chemistry and a promising application for quantum computing. In this work, we investigate the efficacy of t…
Efficient variational quantum eigensolver methodologies on quantum processors
Tushar Pandey, Jason Saroni, Abdullah Kazi +1
We compare the performance of different methodologies for finding the ground state of the molecule BeH2. We implement adaptive, tetris-adaptive variational quantum eigensolver (VQE…
Crossing The Gap Using Variational Quantum Eigensolver: A Comparative Study
I-Chi Chen, Nouhaila Innan, Suman Kumar Roy +1
Within the evolving domain of quantum computational chemistry, the Variational Quantum Eigensolver (VQE) has been developed to explore not only the ground state but also the excite…
Reconstructing Thermal Quantum Quench Dynamics from Pure States
Jason Saroni, Henry Lamm, Peter P. Orth +1
Simulating the nonequilibrium dynamics of thermal states is a fundamental problem across scales from high energy to condensed matter physics. Quantum computers may provide a way to…