5 papers · 1 filter
Quantum simulation of carbon capture in periodic metal-organic frameworks
Dario Rocca, Jerome F. Gonthier, Joshua Levin +4
Carbon capture is vital for decarbonizing heavy industries such as steel and chemicals. Metal-organic frameworks (MOFs), with their high surface area and structural tunability, are…
Improving the runtime of quantum phase estimation for chemistry through basis set optimization
Pauline J. Ollitrault, Jerome F. Gonthier, Dario Rocca +5
Quantum phase estimation (QPE) is a promising quantum algorithm for obtaining molecular ground-state energies with chemical accuracy. However, its computational cost, dominated by…
Assessing the query complexity limits of quantum phase estimation using symmetry aware spectral bounds
Cristian L. Cortes, Dario Rocca, Jerome Gonthier +7
The computational cost of quantum algorithms for physics and chemistry is closely linked to the spectrum of the Hamiltonian, a property that manifests in the necessary rescaling of…
Enhancing initial state overlap through orbital optimization for faster molecular electronic ground-state energy estimation
Pauline J. Ollitrault, Cristian L. Cortes, Jerome F. Gonthier +7
The quantum phase estimation algorithm stands as the primary method for determining the ground state energy of a molecular electronic Hamiltonian on a quantum computer. In this con…
Reducing the runtime of fault-tolerant quantum simulations in chemistry through symmetry-compressed double factorization
Dario Rocca, Cristian L. Cortes, Jerome Gonthier +7
Quantum phase estimation based on qubitization is the state-of-the-art fault-tolerant quantum algorithm for computing ground-state energies in chemical applications. In this contex…