Science
Application-specific quantum computing since 2011
Our co-founder and Chief Scientist Prof. Dr. Enrique (Kike) Solano has a long track record in the quantum computing space. Since more than a decade, with his first pioneering publications having been published in 2011, he and his global collaborators have been developing the scientific foundation behind our key technology concepts.
Recent publications
Coming soon…
Selected historic publications
This list is a selection of Kike Solano’s research articles containing both theory and experimental works in modular and codesign quantum simulation and quantum computation involving Embedding Quantum Simulators (EQS), Digital-Analog Quantum Simulation (DAQS), Digital-Analog Quantum Computing (DAQC), Digitized-Adiabatic Quantum Computing, as well as the first works on Modular Quantum Simulation and Modular Quantum Computing in their evolution along the past decade. It also show-cases our strong network of collaborators which reaches to several universities and many leading companies.
Enhancing connectivity through digital-analog approach (DAQC): A. Galicia, B. Ramon, E. Solano, and M. Sanz, “Enhanced connectivity of quantum hardware with digital-analog control”, arXiv:1912.09331, accepted in Phys. Rev. Research (2020). Link: [1912.09331] Enhanced connectivity of quantum hardware with digital-analog control (arxiv.org)
Another key paper on the unpredictable flexibility and power of DAQC methods.
Digital-analog quantum simulation of quantum approximate optimization algorithm (DAQS): D. Headley, T. Müller, A. Martin, E. Solano, M. Sanz, and F. K. Wilhelm, “Approximating the Quantum Approximate Optimisation Algorithm”, arXiv:2002.12215 (2020). Link: [2002.12215] Approximating the Quantum Approximate Optimisation Algorithm (arxiv.org)
A masterpiece of Co-Design Quantum Computers developed with Mercedes Benz researchers, Saarbrücken researchers that coordinate the Quantum Computing European consortium, and our QUTIS Center in Bilbao, Spain, where most of these ideas were developed in last 10 years. We proved that all what other quantum software/hardware companies are proposing for QAOA is misusing the available quantum hardware and quantum software.
Pioneering Connection between Active Learning and Quantum Information: Y.-C. Ding, J.-D. Martín-Guerrero, M. Sanz, R. Magdalena-Benedicto, X. Chen, and E. Solano, “Retrieving Quantum Information with Active Learning”, Phys. Rev. Lett. 124, 140504 (2020). Link: Phys. Rev. Lett. 124, 140504 (2020) – Retrieving Quantum Information with Active Learning (aps.org)