1 citations · 1 across the 6 of their papers we have counts for
14 papers
A Model Predictive Control-Inspired Quantum Algorithm
Dominic Messina, Alicia B. Magann, Mohan Sarovar +1
We introduce a new hybrid quantum-classical algorithm inspired by an advanced control strategy known as model predictive control (MPC). This algorithm unifies the optimization-base…
Trajectory-independent speed limits for controlled open quantum systems
James B. Larsen, Tameem Albash, Alicia B. Magann +1
Existing quantum speed limits for controlled open quantum systems depend on the specified trajectory. For example, lower bounds on quantum annealing times in the presence of dissip…
Learning parameter curves in feedback-based quantum optimization algorithms
Vicente Peña Pérez, Matthew D. Grace, Christian Arenz +1
Feedback-based quantum algorithms (FQAs) operate by iteratively growing a quantum circuit to optimize a given task. At each step, feedback from qubit measurements is used to inform…
Fast-feedback protocols for calibration and drift control in quantum computers
Alicia B. Magann, Nathan E. Miller, Robin Blume-Kohout +2
We introduce two classes of lightweight, adaptive calibration protocols for quantum computers that leverage fast feedback. The first enables shot-by-shot updates to device paramete…
Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors
Shane A. Caldwell, Moein Khazraee, Elena Agostini +27
We propose an architecture, called NVQLink, for connecting high-performance computing (HPC) resources to the control system of a quantum processing unit (QPU) to accelerate workloa…
Non-Variational ADAPT algorithm for quantum simulations
Ho Lun Tang, Yanzhu Chen, Prakriti Biswas +3
We explore a non-variational quantum state preparation approach combined with the ADAPT operator selection strategy in the application of preparing the ground state of a desired ta…