10 citations · 10 across the 3 of their papers we have counts for
12 papers · 1 filter
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…
Realistic simulation of quantum computation using unitary and measurement channels
Ahmed Abid Moueddene, Nader Khammassi, Koen Bertels +1
The implementation and practicality of quantum algorithms highly hinge on the quality of operations within a quantum processor. Therefore, including realistic error models in quant…
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…