activity
20162023
most citedStrategies for solving the Fermi-Hubbard model on near-term quantum computers

187 citations · 264 across the 10 of their papers we have counts for

collaborators

13 papers

quant-ph2023

Guidable Local Hamiltonian Problems with Implications to Heuristic Ansätze State Preparation and the Quantum PCP Conjecture

Jordi Weggemans, Marten Folkertsma, Chris Cade

We study 'Merlinized' versions of the recently defined Guided Local Hamiltonian problem, which we call 'Guidable Local Hamiltonian' problems. Unlike their guided counterparts, thes…

quant-ph2022★ 4 cited

Improved Hardness Results for the Guided Local Hamiltonian Problem

Chris Cade, Marten Folkertsma, Sevag Gharibian +4

Estimating the ground state energy of a local Hamiltonian is a central problem in quantum chemistry. In order to further investigate its complexity and the potential of quantum alg…

quant-ph2022

Complexity of the Guided Local Hamiltonian Problem: Improved Parameters and Extension to Excited States

Chris Cade, Marten Folkertsma, Jordi Weggemans

Recently it was shown that the so-called guided local Hamiltonian problem -- estimating the smallest eigenvalue of a -local Hamiltonian when provided with a description of a qua…

quant-ph2022★ 2 cited

Quantum Algorithms for Community Detection and their Empirical Run-times

Chris Cade, Marten Folkertsma, Ido Niesen +1

We apply our recent work on empirical estimates of quantum speedups to the practical task of community detection in complex networks. We design several quantum variants of a popula…

quant-ph2022★ 4 cited

Quantifying Grover speed-ups beyond asymptotic analysis

Chris Cade, Marten Folkertsma, Ido Niesen +1

Run-times of quantum algorithms are often studied via an asymptotic, worst-case analysis. Whilst useful, such a comparison can often fall short: it is not uncommon for algorithms w…

quant-ph2021★ 2 cited

Quantum Motif Clustering

Chris Cade, Farrokh Labib, Ido Niesen

We present three quantum algorithms for clustering graphs based on higher-order patterns, known as motif clustering. One uses a straightforward application of Grover search, the ot…