3 citations · 3 across the 2 of their papers we have counts for
6 papers · 1 filter
Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…
Applications of Lifted Nonlinear Cuts to Convex Relaxations of the AC Power Flow Equations
Sergio I. Bugosen, Robert B. Parker, Carleton Coffrin
We demonstrate that valid inequalities, or lifted nonlinear cuts (LNC), can be projected to tighten the Second Order Cone (SOC), Convex DistFlow (CDF), and Network Flow (NF) relaxa…
QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models
Zachary Morrell, Marc Vuffray, Sidhant Misra +1
Analog Quantum Computers are promising tools for improving performance on applications such as modeling behavior of quantum materials, providing fast heuristic solutions to optimiz…
Universal framework for simultaneous tomography of quantum states and SPAM noise
Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin +3
We present a general denoising algorithm for performing simultaneous tomography of quantum states and measurement noise. This algorithm allows us to fully characterize state prepar…
Managing power balance and reserve feasibility in the AC unit commitment problem
Robert Parker, Carleton Coffrin
Incorporating the AC power flow equations into unit commitment models has the potential to avoid costly corrective actions required by less accurate power flow approximations. Howe…
Optimization Applications as Quantum Performance Benchmarks
Thomas Lubinski, Carleton Coffrin, Catherine McGeoch +3
Combinatorial optimization is anticipated to be one of the primary use cases for quantum computation in the coming years. The Quantum Approximate Optimization Algorithm (QAOA) and…