1.6k citations · 6.5k across the 75 of their papers we have counts for
75 papers
GNSS-free quantum gravity-aided navigation and fine-scale marine surveying with a strapdown quantum gravimeter
Patrick J. Everitt, Donald H. White, Todd Lyon +19
Global navigation satellite systems (GNSS) are often disrupted or unavailable at sea, and unaided inertial navigation systems (INS) drift without correction. Quantum-sensing-based…
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…
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…
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…
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…
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…