14 citations · 19 across the 8 of their papers we have counts for
5 papers · 1 filter
A Case Study on Noise Resilient Operator Selection in Adaptive Variational Quantum Algorithms
Soorya Haravu, Mafalda Ramôa, Bharath Sambasivam
Hardware noise has been shown to significantly impact the accuracy of ADAPT-VQE, a ground state preparation algorithm. While previous work has studied the impact of noise on its pa…
An efficient algorithm for approximate shadow Hamiltonian simulation
Abhijit Chakraborty, Bharath Sambasivam, Karunya Shirali +4
We propose an efficient algorithm based on shadow Hamiltonian simulation to approximately simulate the real-time dynamics of observables under time-independent Hamiltonians. Shadow…
Continuous-variable ADAPT-VQE for bosonic lattice models
Dimitrios Athanasakos, Gloria Tejedor-García, 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…
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…
Co-Designed Adaptive Quantum State Preparation Protocols
Mafalda Ramôa, Luis Paulo Santos, Nicholas J. Mayhall +2
We propose a co-designed variant of ADAPT-VQE (Co-ADAPT-VQE) where the quantum hardware is taken into account in the construction of the ansatz. This framework can be readily used…