9 papers
Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem
Miguel Angel Lopez-Ruiz, Daiwei Zhu, Jonas Hatzenbuhler +8
We present a quantum optimization framework for the Shipment Selection Problem (SSP) in electric freight logistics, developed jointly by IonQ and Einride. Idle gaps arising from st…
End-to-end performance of quantum-accelerated large-scale linear algebra workflows
Daiwei Zhu, Miguel Angel Lopez-Ruiz, François-Henry Rouet +6
Solving large-scale sparse linear systems is a challenging computational task due to the introduction of non-zero elements, or "fill-in". The Graph Partitioning Problem (GPP) arise…
Measuring what matters: A scalable framework for application-level quantum benchmarking
Willie Aboumrad, Claudio Girotto, Joshua Goings +16
As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metri…
Large-scale portfolio optimization on a trapped-ion quantum computer
Alejandro Gomez Cadavid, Ananth Kaushik, Pranav Chandarana +10
We present an end-to-end pipeline for large-scale portfolio selection with cardinality constraints and experimentally demonstrate it on trapped-ion quantum processors using hardwar…
Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
Luning Zhao, Joshua J. Goings, Willie Aboumrad +38
We demonstrate an end-to-end workflow to model chemical reaction barriers with the quantum-classical auxiliary field quantum Monte Carlo (QC-AFQMC) algorithm with quantum tomograph…
A New Hybrid Quantum-Classical Algorithm for Solving the Unit Commitment Problem
Willie Aboumrad, Phani R V Marthi, Suman Debnath +2
Solving problems related to planning and operations of large-scale power systems is challenging on classical computers due to their inherent nature as mixed-integer and nonlinear p…