4 citations · 9 across the 5 of their papers we have counts for
6 papers
Quantum error correction well below the color code threshold
Ali Lavasani, Adam P. Reed, Joan M. Dreiling +20
Quantum error correction enables scalable fault-tolerant quantum computation by suppressing logical errors exponentially with code distance once physical error rates fall below a c…
Efficiently Simulable Pauli Correlation Encoding
Daniele Lizzio Bosco, Gabriel Matos, Chen-Yu Liu +4
Pauli Correlation Encoding (PCE) is a heuristic framework for binary optimisation that encodes classical variables into many-body Pauli observables. While PCE requires fewer qubits…
Fast stabilizer state preparation via AI-optimized graph decimation
Michael Doherty, Matteo Puviani, Jasmine Brewer +4
We propose a general method for preparing stabilizer states with reduced two-qubit gate count and depth compared to the state of the art. The method starts from a graph state repre…
Lindblad engineering for quantum Gibbs state preparation under the eigenstate thermalization hypothesis
Eric Brunner, Luuk Coopmans, Gabriel Matos +3
Building upon recent progress in Lindblad engineering for quantum Gibbs state preparation algorithms, we propose a simplified protocol that is shown to be efficient under the eigen…
Scalable and interpretable quantum natural language processing: an implementation on trapped ions
Tiffany Duneau, Saskia Bruhn, Gabriel Matos +5
We present the first implementation of text-level quantum natural language processing, a field where quantum computing and AI have found a fruitful intersection. We focus on the QD…
Quixer: A Quantum Transformer Model
Nikhil Khatri, Gabriel Matos, Luuk Coopmans +1
Progress in the realisation of reliable large-scale quantum computers has motivated research into the design of quantum machine learning models. We present Quixer: a novel quantum…