5 papers · 1 filter
Explainable quantum regression algorithm with encoded data structure
C. -C. Joseph Wang, F. Perkkola, I. Salmenperä +2
Hybrid variational quantum algorithms are promising for solving practical problems, such as combinatorial optimization, quantum chemistry simulation, quantum machine learning, and…
Explainable quantum regression algorithm with encoded data structure
C. -C. Joseph Wang, F. Perkkola, I. Salmenperä +3
Hybrid variational quantum algorithms (VQAs) are promising for solving practical problems such as combinatorial optimization, quantum chemistry simulation, quantum machine learning…
Optimizing State Preparation for Variational Quantum Regression on NISQ Hardware
Frans Perkkola, Ilmo Salmeperä, Arianne Meijer-van de Griend +3
The execution of quantum algorithms on modern hardware is often constrained by noise and qubit decoherence, limiting the circuit depth and the number of gates that can be executed.…
Realistic Cost to Execute Practical Quantum Circuits using Direct Clifford+T Lattice Surgery Compilation
Tyler LeBlond, Christopher Dean, George Watkins +1
We report a resource estimation pipeline that explicitly compiles quantum circuits expressed using the Clifford+T gate set into a surface code lattice surgery instruction set. The…
Integrating Quantum Computing Resources into Scientific HPC Ecosystems
Thomas Beck, Alessandro Baroni, Ryan Bennink +15
Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces cha…