science - Kipu Quantum
Pioneering Quantum Algorithm for solving Black-Scholes Equation
February 2, 2022General theory of digital-analog quantum computing (DAQC)
September 14, 2020Adrian Parra-Rodriguez, Pavel Lougovski, Lucas Lamata, Enrique Solano, and Mikel Sanz, “Digital-Analog Quantum Computation”, Phys. Rev. A 101, 022305 (2020).
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)
September 14, 2020A. Martin, L. Lamata, E. Solano, and M. Sanz, “Digital-analog quantum algorithm for the quantum Fourier transform”, Phys. Rev. Research 2, 013012 (2020).
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.
Enhancing connectivity through digital-analog approach (DAQC)
September 14, 2020A. 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).
Another key paper on the unpredictable flexibility and power of DAQC methods.
Digital-analog quantum simulation of quantum approximate optimization algorithm (DAQS)
September 14, 2020D. Headley, T. Müller, A. Martin, E. Solano, M. Sanz, and F. K. Wilhelm, “Approximating the Quantum Approximate Optimisation Algorithm”, arXiv:2002.12215 (2020).
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
September 14, 2020Y.-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).
Pioneering Quantum Computing Realization of Models of Financial Crashes
September 14, 2020Y.-C. Ding, L. Lamata, J.-D. Martín-Guerrero, E. Lisazo, S. Mugel, R. Orús, E. Solano, and M. Sanz, “Towards Prediction of Financial Crashes with a D-Wave Quantum Computer”, arXiv:1904.05808 (2020).
Pioneering Quantum Computing Implementation of Pricing Financial Derivatives
September 14, 2020A. Martin, B. Candelas, A. Rodríguez-Rozas, J.-D. Martín-Guerrero, X. Chen, L. Lamata, R. Orús, E. Solano, and M. Sanz, “Towards Pricing Financial Derivatives with an IBM Quantum Computer”, arXiv:1904.0583 (2020).
Reaching quantum supremacy via co-design approach (CDQC)
September 14, 2019F. Hu, L. Lamata, C. Wang, X. Chen, E. Solano, and M. Sanz, “Quantum Supremacy in Cryptography with a Low-Connectivity Quantum Annealer”, arXiv:1906.08140 (2019).
A prove that we can reach quantum supremacy and quantum advantage with variants, some of them even simpler, of D-Wave architectures. A key result for cryptography.
Digital-analog quantum computation of scattering in quantum electodynamics in trapped ions (CDQS)
September 14, 2018X. Zhang, K. Zhang, Y. Shen, J. Zhang, M.-H. Yung, J. Casanova, J. S. Pedernales, L. Lamata, E. Solano, and K. Kim, “Fermion-antifermion scattering via boson exchange in a trapped ion”, Nat. Comm. 9, 195 (2018).
An impressive implementation in the lab of our proposals on CDQS
