activity
19942023
most citedThe DARPA Twitter Bot Challenge

471 citations · 1.3k across the 58 of their papers we have counts for

collaborators

60 papers

quant-ph2023★ 6 cited

Quantum Alternating Operator Ansatz (QAOA) beyond low depth with gradually changing unitaries

Vladimir Kremenetski, Anuj Apte, Tad Hogg +2

The Quantum Approximate Optimization Algorithm and its generalization to Quantum Alternating Operator Ansatz (QAOA) is a promising approach for applying quantum computers to challe…

cs.RO2023★ 2 cited

Chemical Power for Swarms of Microscopic Robots in Blood Vessels

Tad Hogg

Microscopic robots in the bloodstream could obtain power from fuel cells using glucose and oxygen. Previous studies of small numbers of such robots operating near each other showed…

quant-ph2022★ 13 cited

A Parameter Setting Heuristic for the Quantum Alternating Operator Ansatz

James Sud, Stuart Hadfield, Eleanor Rieffel +2

Parameterized quantum circuits are widely studied approaches for tackling optimization problems. A prominent example is the Quantum Alternating Operator Ansatz (QAOA), an approach…

quant-ph2021★ 4 cited

Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry

Vladimir Kremenetski, Tad Hogg, Stuart Hadfield +2

Determining Hamiltonian ground states and energies is a challenging task with many possible approaches on quantum computers. While variational quantum eigensolvers are popular appr…

cs.RO2021★ 2 cited

Acoustic Power Management by Swarms of Microscopic Robots

Tad Hogg

Microscopic robots in the body could harvest energy from ultrasound to provide on-board control of autonomous behaviors such as measuring and communicating diagnostic information a…

quant-ph2021★ 26 cited

Analytical Framework for Quantum Alternating Operator Ansätze

Stuart Hadfield, Tad Hogg, Eleanor G. Rieffel

We develop a framework for analyzing layered quantum algorithms such as quantum alternating operator ansätze. Our framework relates quantum cost gradient operators, derived from th…