10 citations · 10 across the 3 of their papers we have counts for
5 papers
ACSS-q: Algorithmic complexity for short strings via quantum accelerated approach
Aritra Sarkar, Koen Bertels
In this research we present a quantum circuit for estimating algorithmic complexity using the coding theorem method. This accelerates inferring algorithmic structure in data for di…
OpenQL : A Portable Quantum Programming Framework for Quantum Accelerators
N. Khammassi, I. Ashraf, J. v. Someren +6
With the potential of quantum algorithms to solve intractable classical problems, quantum computing is rapidly evolving and more algorithms are being developed and optimized. Expre…
Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability
Thomas Hubregtsen, Josef Pichlmeier, Patrick Stecher +1
An active area of investigation in the search for quantum advantage is Quantum Machine Learning. Quantum Machine Learning, and Parameterized Quantum Circuits in a hybrid quantum-cl…
Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions
Thomas Hubregtsen, Christoph Segler, Josef Pichlmeier +3
Quantum computers hold great promise for accelerating computationally challenging algorithms on noisy intermediate-scale quantum (NISQ) devices in the upcoming years. Much attentio…
An algorithm for DNA read alignment on quantum accelerators
Aritra Sarkar, Zaid Al-Ars, Carmen G. Almudever +1
With small-scale quantum processors transitioning from experimental physics labs to industrial products, these processors allow us to efficiently compute important algorithms in va…