works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 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

Heterogeneous architectures enable a 138x reduction in physical qubit requirements for fault-tolerant quantum computing under detailed accounting

Pranav S. Mundada, Aleksei Khindanov, Yulun Wang +5

Quantum computer hardware is predicted to scale over hundreds of thousands of qubits coming online in the next decade. Despite significant theoretical and experimental QEC progress…

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

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-ph2025

Quantum-assured magnetic navigation achieves positioning accuracy better than a strategic-grade INS in airborne and ground-based field trials

Murat Muradoglu, Mattias T. Johnsson, Nathanial M. Wilson +16

Modern navigation systems rely critically on GNSS, which in many cases is unavailable or unreliable (e.g. due to jamming or spoofing). For this reason there is great interest in au…