5 papers
Elevating Variational Quantum Semidefinite Programs for Polynomial Objectives
Iria W. Wang, Robin Brown, Taylor L. Patti +3
Many practically important NP-hard optimization problems are inherently higher-order polynomial optimizations, which are typically addressed using approximation algorithms. Classic…
Designing Fault-Tolerant Blind Quantum Computation
Gefen Baranes, Iria W. Wang, Francisco Machado +6
Blind quantum computing (BQC) is a computational paradigm that allows a client with limited quantum capabilities to delegate quantum computations to a more powerful server while ke…
Digital-analog quantum learning on Rydberg atom arrays
Jonathan Z. Lu, Lucy Jiao, Kristina Wolinski +6
We propose hybrid digital-analog learning algorithms on Rydberg atom arrays, combining the potentially practical utility and near-term realizability of quantum learning with the ra…
Universal distributed blind quantum computing with solid-state qubits
Yan-Cheng Wei, Pieter-Jan Stas, Aziza Suleymanzade +16
Blind quantum computing (BQC) is a promising application of distributed quantum systems, where a client can perform computations on a remote server without revealing any details of…
Superradiance-assisted two-color Doppler cooling of molecules
Caleb Heuvel-Horwitz, S. F. Yelin
For experiments that require a quantum system to be in the ultra-cold regime, laser cooling is an essential tool. While techniques for laser cooling ions and neutral atoms have bee…