activity
20242026
collaborators

8 papers

quant-ph2026

Satisfying Quantum Codes: Physics-Informed and Hardware-Aware Code Design with SAT Solvers

Ben DalFavero, William M. Watkins, Margarite L. LaBorde +4

Although quantum error correction is widely believed to be necessary for impactful applications of quantum computers, the design of quantum error correction codes is largely done b…

quant-ph2026

Leveraging Metrologically Useful States in Quantum Reservoir Networks

Erik L. Connerty, Margarite LaBorde, Ethan N. Evans

Interest in using quantum computers for the purpose of predicting chaotic partial differential equations (PDEs) has been growing with the advent of newer low-error quantum computer…

quant-ph2026

Symmetry-Based Quantum Codes Beyond the Pauli Group

Zachary P. Bradshaw, Margarite L. LaBorde, Dillon Montero

Typical stabilizer codes aim to solve the general problem of fault-tolerance without regard for the structure of a specific system. By incorporating a broader representation-theore…

quant-ph2025

A Closed Form for Moment-Based Entanglement Tests Associated to the PPT Criterion

Zachary P. Bradshaw, Margarite L. LaBorde

Neven et al. have explored an unexpected alliance between the mathematical insights of Sir Isaac Newton and René Descartes which culminates in the reduction of the Positive Partia…

quant-ph2025

Learning Equivariant Maps with Variational Quantum Circuits

Zachary P. Bradshaw, Ethan N. Evans, Matthew Cook +1

Geometric quantum machine learning uses the symmetries inherent in data to design tailored machine learning tasks with reduced search space dimension. The field has been well-studi…

quant-ph2025

Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention

Ethan N. Evans, Matthew Cook, Zachary P. Bradshaw +1

The recent exploding growth in size of state-of-the-art machine learning models highlights a well-known issue where exponential parameter growth, which has grown to trillions as in…