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From the 1 of 8 linked papers with an AI index.

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20242026
most citedIntegrated error-suppressed pipeline for quantum optimization of nontrivial binary combinatorial optimization problems on gate-model hardware at the 156-qubit scale

10 citations · 10 across the 4 of their papers we have counts for

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8 papers

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

The paper demonstrates a digital quantum simulation of the one‑dimensional Fermi‑Hubbard model on a superconducting processor using up to 120 qubits, achieving high‑resolution dyna…

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

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-ph202610 cited

Integrated error-suppressed pipeline for quantum optimization of nontrivial binary combinatorial optimization problems on gate-model hardware at the 156-qubit scale

Natasha Sachdeva, Gavin S. Hartnett, Smarak Maity +12

We introduce a novel hybrid quantum-classical variational optimization method for unconstrained binary combinatorial optimization problems on gate-model quantum computers, integrat…

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

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…