A 64-qubit trapped-ion system using BF-DCQO optimizes lattice protein folding Hamiltonians for six peptides, reaching classical reference energies in multiple cases after hybrid post-processing.
Title resolution pending
7 Pith papers cite this work, alongside 82 external citations. Polarity classification is still indexing.
7
Pith papers citing it
82
external citations · Crossref
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
MonteQ applies Monte Carlo Tree Search in a two-level framework to optimize Pauli rotation orderings for Hamiltonian simulation, cutting CNOT counts by up to 53% versus prior compilers.
A new compiler for surface codes on QCCD trapped-ion hardware shows that 2-ion traps outperform larger traps in logical clock speed and hardware efficiency, beating prior compilers by 3.8X on average.
A 3D-printed micro-ion trap with an enlarged loading zone improves hot-ion capture by keeping the Mathieu-q parameter low enough for effective laser cooling without lowering RF voltage.
A HUBO model with three-body mutual-information terms is optimized on IonQ trapped-ion hardware and produces compact feature subsets with classification performance competitive to classical baselines on two benchmark datasets.
A hardware-calibrated truncated QFT reduces gate count 31-44% at 30 qubits while bounding total variation distance error by O(2^{-d}) and outperforming full QFT under moderate noise.