activity
20222026
most citedReducing the Resources Required by ADAPT-VQE Using Coupled Exchange Operators and Improved Subroutines

14 citations · 19 across the 8 of their papers we have counts for

collaborators

9 papers

quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2026★ 1 cited

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…

quant-ph2025

Strategies for Overcoming Gradient Troughs in the ADAPT-VQE Algorithm

Jonas Stadelmann, Julian Übelher, Mafalda Ramôa +3

The adaptive derivative-assembled problem-tailored variational quantum eigensolver (ADAPT-VQE) provides a promising approach for simulating highly correlated quantum systems on qua…

quant-ph2024★ 14 cited

Reducing the Resources Required by ADAPT-VQE Using Coupled Exchange Operators and Improved Subroutines

Mafalda Ramôa, Panagiotis G. Anastasiou, Luis Paulo Santos +3

Adaptive variational quantum algorithms arguably offer the best prospects for quantum advantage in the Noisy Intermediate-Scale Quantum era. Since the inception of the first such a…

quant-ph2024★ 3 cited

Reducing measurement costs by recycling the Hessian in adaptive variational quantum algorithms

Mafalda Ramôa, Luis Paulo Santos, Nicholas J. Mayhall +2

Adaptive protocols enable the construction of more efficient state preparation circuits in variational quantum algorithms (VQAs) by utilizing data obtained from the quantum process…

quant-ph2022★ 1 cited

Ansätze for Noisy Variational Quantum Eigensolvers

Mafalda Ramôa

The hardware requirements of useful quantum algorithms remain unmet by the quantum computers available today. Because it was designed to soften these requirements, the Variational…