activity
20182026
most citedQuantum-accelerated constraint programming

15 citations · 18 across the 6 of their papers we have counts for

collaborators

8 papers

cs.AI2026

A Constraint Programming Approach for n-Day Lookahead Playoff Clinching in the NHL

Gili Rosenberg, Kyle E. C. Booth, J. Kyle Brubaker +1

In professional sports, a team has clinched the playoffs if they are guaranteed a postseason spot, regardless of the outcomes of any remaining games. As the season progresses, spor…

math.OC2025

Optimization of Next-Day Delivery Coverage using Constraint Programming and Random Key Optimizers

Kyle Brubaker, Kyle E. C. Booth, Martin J. A. Schuetz +4

We consider the logistics network of an e-commerce retailer, specifically the so-called "middle mile" network, that routes inventory from supply warehouses to distribution stations…

q-bio.BM2024

Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking

J. Kyle Brubaker, Kyle E. C. Booth, Akihiko Arakawa +4

The peptide-protein docking problem is an important problem in structural biology that facilitates rational and efficient drug design. In this work, we explore modeling and solving…

math.OC2024

Solving QUBOs with a quantum-amenable branch and bound method

Thomas Häner, Kyle E. C. Booth, Sima E. Borujeni +1

Due to the expected disparity in quantum vs. classical clock speeds, quantum advantage for branch and bound algorithms is more likely achievable in settings involving large search…

quant-ph2023★ 2 cited

Constraint programming models for depth-optimal qubit assignment and SWAP-based routing

Kyle E. C. Booth

Due to the limited connectivity of gate model quantum devices, logical quantum circuits must be compiled to target hardware before they can be executed. Often, this process involve…

quant-ph2021★ 15 cited

Quantum-accelerated constraint programming

Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall +2

Constraint programming (CP) is a paradigm used to model and solve constraint satisfaction and combinatorial optimization problems. In CP, problems are modeled with constraints that…