activity
20192025
most citedDemonstrating NISQ Era Challenges in Algorithm Design on IBM's 20 Qubit Quantum Computer

23 citations · 63 across the 11 of their papers we have counts for

collaborators

11 papers

quant-ph2025

Telecommunications fiber-optic and free-space quantum local area networks at the Air Force Research Laboratory

Erin Sheridan, Nicholas J. Barton, Richard Birrittella +29

As quantum computing, sensing, timing, and networking technologies mature, quantum network testbeds are being deployed across the United States and around the world. To support the…

quant-ph2023

Variational Amplitude Amplification for Solving QUBO Problems

Daniel Koch, Massimiliano Cutugno, Saahil Patel +2

We investigate the use of amplitude amplification on the gate-based model of quantum computing as a means for solving combinatorial optimization problems. This study focuses primar…

quant-ph2023

Physics Simulation Via Quantum Graph Neural Network

Benjamin Collis, Saahil Patel, Daniel Koch +3

We develop and implement two realizations of quantum graph neural networks (QGNN), applied to the task of particle interaction simulation. The first QGNN is a speculative quantum-c…

quant-ph2022

Quantum Computing Approaches for Mission Covering Optimization

Massimiliano Cutugno, Annarita Giani, Paul M. Alsing +2

We study quantum computing algorithms for solving certain constrained resource allocation problems we coin as Mission Covering Optimization (MCO). We compare formulations of constr…

quant-ph2022★ 6 cited

Information loss and run time from practical application of quantum data compression

Saahil Patel, Benjamin Collis, William Duong +4

We examine information loss, resource costs, and run time from practical application of quantum data compression. Compressing quantum data to fewer qubits enables efficient use of…

quant-ph2021

Gaussian Amplitude Amplification for Quantum Pathfinding

Daniel Koch, Massimiliano Cutugno, Samuel Karlson +3

We study an oracle operation, along with its circuit design, which combined with the Grover diffusion operator boosts the probability of finding minimum or maximum solutions on a w…