From the 1 of 5 linked papers with an AI index.
5 papers
An efficient algorithm for approximate shadow Hamiltonian simulation
Abhijit Chakraborty, Bharath Sambasivam, Karunya Shirali +4
The paper introduces an algorithm that approximates real-time quantum dynamics by pruning the operator algebra of a shadow Hamiltonian, reducing the required qubit resources for si…
Continuous-variable ADAPT-VQE for bosonic lattice models
Dimitrios Athanasakos, Gloria Tejedor-GarcÃa, Jack Y. Araz +4
We present a continuous-variable adaptive variational quantum eigensolver (CV-ADAPT-VQE). As concrete examples, we consider the ground-state preparation for (i) the Bose-Hubbard mo…
TIMES-ADAPT: A Quantum algorithm for real-time evolution in low-energy subspaces using fixed-depth circuits
Bharath Sambasivam, Kyle Sherbert, Karunya Shirali +3
We propose a new variational quantum algorithm, which we refer to as TIMES-ADAPT, that prepares time-evolved states in a low-energy or symmetric subspace of a time-independent Hami…
The cost of quantum algorithms for biochemistry: A case study in metaphosphate hydrolysis
Ryan LaRose, Antonios M. Alvertis, Alan Bidart +10
We evaluate the quantum resource requirements for ATP/metaphosphate hydrolysis, one of the most important reactions in all of biology with implications for metabolism, cellular sig…
To break, or not to break: Symmetries in adaptive quantum simulations, a case study on the Schwinger model
Karunya Shailesh Shirali, Kyle Sherbert, Yanzhu Chen +4
We investigate the role of symmetries in constructing resource-efficient operator pools for adaptive variational quantum eigensolvers. In particular, we focus on the lattice Schwin…