5 papers
Clifford Accelerated Adaptive QAOA
Théo Lisart-Liebermann, Arcesio Castañeda Medina
Clifford Circuit Initializaton improves on initial guess of parameters on Parametric Quantum Circuits (PQCs) by leveraging efficient simulation of circuits made out of gates from t…
Preconditioning Natural and Second Order Gradient Descent in Quantum Optimization: A Performance Benchmark
Théo Lisart-Liebermann, Arcesio Castañeda Medina
The optimization of parametric quantum circuits is technically hindered by three major obstacles: the non-convex nature of the objective function, noisy gradient evaluations, and t…
Clifford and Non-Clifford Splitting in Quantum Circuits: Applications and ZX-Calculus Detection Procedure
Fernando Lima, Arcesio Castañeda Medina
Classical simulation of quantum circuits is a pivotal part of the quantum computing landscape, specially within the NISQ era, where the constraints imposed by available hardware ar…
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions
Lars Krupp, Jonas Bley, Isacco Gobbi +11
Individual teaching is among the most successful ways to impart knowledge. Yet, this method is not always feasible due to large numbers of students per educator. Quantum computing…