Digital-Analog Quantum Computation [QCT20/21, Seminar #10]

By Ana Martín Fernández (Quantum Mads).


The traditional digital quantum computation paradigm is a gate-based type of quantum computation that employs only single- and two-qubits gates to implement any quantum routine or algorithm. Although there have been important improvements in the experimental realization of the quantum processors, there are still several Near Intermediate-Scale Quantum (NISQ) devices that suffer from important noise sources whenever a two-qubit gate is applied. To overcome this experimental limitation, it has been proposed the digital-analog quantum computation paradigm. The main idea of this proposal is to get advantage of the natural interaction that arises between the qubits, instead of treating it as a noise source, as the fully digital quantum computation does. Here, Ana Martín will talk about the advantage of using the digital-analog paradigm against the fully digital one to implement quantum algorithms such as the quantum Fourier transform. Ana Martín compares the outperformance of each paradigm and analyze the limitations and advantages of using the digital-analog paradigm or the fully digital one.

Ana Martín Fernández is the CSO of Quantum Mads, a Spanish startup focused on the applications of Quantum Computing for the financial services industry. His team aims to dissect the intrinsic dynamics of complex financial systems, creating QC-based solutions that will disrupt the current state of the art. She is the Lead Quantum Engineer of Q-Allocate, a hybrid quantum-classical algorithm for portfolio allocation, and currently pursues a PhD in Quantum algorithms at Universidad del País Vasco.

Webinar hosted by Universidad Politécnica de Madrid, as part of its Master in Quantum Computing Technology (https://www.quantum-explore.com)