1.1k citations · 1.2k across the 11 of their papers we have counts for
11 papers
Reducing entanglement with a Hamiltonian derived Clifford transformation
James Brown, Erika Lloyd, Alexandre Fleury +2
Recently (Physica Scripta, 100(10):105401, 2025), an algorithm was introduced that deterministically generates a Clifford transformation from the Qubit Coupled Cluster (QCC) algori…
Offline recovery of magic and entanglement from noisy Pauli product states
Erika Lloyd, Alexandre Fleury, Marc P. Coons +2
The dependence of quantum algorithms on state fidelity is difficult to characterize analytically and is best explored experimentally as hardware scales and noisy simulations become…
Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers
Alexandre Fleury, James Brown, Erika Lloyd +2
Many quantum algorithms rely on a quality initial state for optimal performance. Preparing an initial state for specific applications can considerably reduce the cost of probabilis…
Guided Multi-objective Generative AI to Enhance Structure-based Drug Design
Amit Kadan, Kevin Ryczko, Erika Lloyd +2
Generative AI has the potential to revolutionize drug discovery. Yet, despite recent advances in deep learning, existing models cannot generate molecules that satisfy all desired p…
Iterative Qubit Coupled Cluster using only Clifford circuits
James Brown, Marc P. Coons, Erika Lloyd +4
The performance of quantum algorithms for ground-state energy estimation is directly impacted by the quality of the initial state, where quality is traditionally defined in terms o…
Tangelo: An Open-source Python Package for End-to-end Chemistry Workflows on Quantum Computers
Valentin Senicourt, James Brown, Alexandre Fleury +10
Tangelo [link: https://github.com/goodchemistryco/Tangelo] is an open-source Python software package for the development of end-to-end chemistry workflows on quantum computers, rel…
Optimizing Electronic Structure Simulations on a Trapped-ion Quantum Computer using Problem Decomposition
Yukio Kawashima, Erika Lloyd, Marc P. Coons +12
Quantum computers have the potential to advance material design and drug discovery by performing costly electronic structure calculations. A critical aspect of this application req…
Ionic Charge Distributions in Silicon Atomic Wires
Jeremiah Croshaw, Taleana Huff, Mohamad Rashidi +4
Using a non-contact atomic force microscope (nc-AFM), we examine continuous DB wire structures on the hydrogen-terminated silicon (100) 2x1 surface. By probing the DB structures at…
Parameterized quantum circuits as machine learning models
Marcello Benedetti, Erika Lloyd, Stefan Sack +1
Hybrid quantum-classical systems make it possible to utilize existing quantum computers to their fullest extent. Within this framework, parameterized quantum circuits can be regard…
Resolving and Tuning Carrier Capture Rates at a Single Silicon Atom Gap State
Mohammad Rashidi, Erika Lloyd, Taleana R. Huff +4
We report on tuning the carrier capture events at a single dangling bond (DB) midgap state by varying the substrate temperature, doping type, and doping concentration. All-electron…
Time-Resolved Imaging of Negative Differential Resistance on the Atomic Scale
Mohammad Rashidi, Marco Taucer, Isil Ozfidan +6
Negative differential resistance remains an attractive but elusive functionality, so far only finding niche applications. Atom scale entities have shown promising properties, but v…