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20182026
most citedSelf-Supervised Learning of Generative Spin-Glasses with Normalizing Flows

6 citations · 13 across the 8 of their papers we have counts for

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quant-ph2026

Simulating the dynamics of an SU(2) matrix model on a trapped-ion quantum computer

Gavin S. Hartnett, Haoran Liao, Enrico Rinaldi

Matrix models are an important class of systems in string theory and theoretical physics, with applications to random matrix theory, quantum chaos, and black holes. Hamiltonian Mon…

quant-ph2026

Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor

Gavin S. Hartnett, Khadijeh Sona Najafi, Aleksei Khindanov +5

We report experimental digital quantum simulation of the one-dimensional Fermi-Hubbard model on a superconducting quantum processor at a scale beyond the reach of exact statevector…

quant-ph2025

No need to calibrate: characterization and compilation for high-fidelity circuit execution using imperfect gates

Ashish Kakkar, Samuel Marsh, Yulun Wang +5

We propose and validate on real quantum computing hardware a new method for extended two-qubit gate set design, replacing iterative, fine calibration with fast characterization of…

quant-ph2025

Automated discovery of heralded ballistic graph state generators for fusion-based photonic quantum computation

Gavin S. Hartnett, Dave Kielpinski, Smarak Maity +3

Designing photonic circuits that prepare graph states with high fidelity and success probability is a central challenge in linear optical quantum computing. Existing approaches rel…

quant-ph2024

Achieving computational gains with quantum error-correction primitives: Generation of long-range entanglement enhanced by error detection

Haoran Liao, Gavin S. Hartnett, Ashish Kakkar +5

The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despit…

quant-ph2024

Resource-efficient context-aware dynamical decoupling embedding for arbitrary large-scale quantum algorithms

Paul Coote, Roman Dimov, Smarak Maity +3

We introduce and implement GraphDD: an efficient method for real-time, circuit-specific, optimal embedding of dynamical decoupling (DD) into executable quantum algorithms. We demon…