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.
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.
Pioneering Quantum Algorithm for solving Black-Scholes Equation: J. Gonzáles-Conde, A. Rodríguez-Rozas, E. Solano, and M. Sanz, “Quantum Algorithm for Pricing Financial Derivatives”, Link: [2101.04023] Pricing Financial Derivatives with Exponential Quantum Speedup (arxiv.org)
General theory of digital-analog quantum computing (DAQC): Adrian Parra-Rodriguez, Pavel Lougovski, Lucas Lamata, Enrique Solano, and Mikel Sanz, “Digital-Analog Quantum Computation”, Phys. Rev. A 101, 022305 (2020). Link: [1812.03637] Digital-Analog Quantum Computation (arxiv.org)
This paper is the kick-off of the general theory on Digital-Analog Quantum Computing. Essentially, we proved there that we can be universal with DAQC, although we will use this mostly for bespoke Co-Design Quantum Computers and application to key use cases. I think this paper will be a reference for decades in quantum computing, until error correction may become meaningful, perhaps next century.
Implementing quantum Fourier transform via digital-analog methods (DAQC): A. Martin, L. Lamata, E. Solano, and M. Sanz, “Digital-analog quantum algorithm for the quantum Fourier transform”, Phys. Rev. Research 2, 013012 (2020). Link: [1906.07635] Digital-analog quantum algorithm for the quantum Fourier transform (arxiv.org)
A key example of the power of DAQC applied to the quantum Fourier transform algorithm, which is the basis of quantum phase estimation article, which is at the basis of Shor algorithm, most quantum chemistry algorithms, and material design algorithms. A pillar for what comes soon from Co-Design QC as quantum products fo key use cases.