32 citations · 77 across the 7 of their papers we have counts for
11 papers
Molecular excited state calculations with the QEB-ADAPT-VQE
Yordan S. Yordanov, Crispin H. W. Barnes, David R. M. Arvidsson-Shukur
Calculations of molecular spectral properties, like photodissociation rates and absorption bands, rely on knowledge of the excited state energies of the molecule of interest. Proto…
Hamiltonian singular value transformation and inverse block encoding
Seth Lloyd, Bobak T. Kiani, David R. M. Arvidsson-Shukur +5
The quantum singular value transformation is a powerful quantum algorithm that allows one to apply a polynomial transformation to the singular values of a matrix that is embedded a…
Quantum Learnability is Arbitrarily Distillable
Joe H. Jenne, David R. M. Arvidsson-Shukur
Quantum learning (in metrology and machine learning) involves estimating unknown parameters from measurements of quantum states. The quantum Fisher information matrix can bound the…
Qubit-excitation-based adaptive variational quantum eigensolver
Yordan S. Yordanov, V. Armaos, Crispin H. W. Barnes +1
Molecular simulations with the variational quantum eigensolver (VQE) are a promising application for emerging noisy intermediate-scale quantum computers. Constructing accurate mole…
Quantum polar decomposition algorithm
Seth Lloyd, Samuel Bosch, Giacomo De Palma +5
The polar decomposition for a matrix is , where is a positive Hermitian matrix and is unitary (or, if is not square, an isometry). This paper shows that the a…
Efficient quantum circuits for quantum computational chemistry
Yordan S. Yordanov, David R. M. Arvidsson-Shukur, Crispin H. W. Barnes
Molecular quantum simulations with the variational quantum eigensolver (VQE) rely on ansatz states that approximate the molecular ground states. These ansatz states are generally d…