Quantum computing is emerging as a new art of computing. However, current and near-future quantum computers are expected to remain error-prone, making the execution of several promising quantum algorithms infeasible. Hybrid quantum-classical variational algorithms have been proposed to overcome several challenges of such near-term computers. This talk introduces the framework of these hybrid methods and gives an overview of the current developments
We propose the combination of digital quantum simulation and variational quantum algorithms as an al...
Variational Quantum Algorithms are hybrid classical-quantum algorithms where classical and quantum c...
Quantum computation is a subject born out of the combination between physics and computer science. I...
Hybrid quantum-classical algorithms are central to much of the current research in quantum computing...
In this thesis, we aim to answer one research question: What is the algorithmic role of classical co...
Applications such as simulating complicated quantum systems or solving large-scale linear algebra pr...
Since we are entering the Post-Moore Law era and consequently the limit of Von Neumann's architectur...
As quantum computers mature, the applicability in practice becomes more important. Quantum computers...
These days, research groups such as Google, Microsoft, and Rigetti are working towards fabricating q...
In recent years, programmable quantum devices have reached sizes and complexities which put them out...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
Quantum computers can exploit a Hilbert space whose dimension increases exponentially with the numbe...
Many quantum algorithms have daunting resource requirements when compared to what is available today...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
Here we address the algorithmic side of quantum chemistry applications by introducing a Python 3 cod...
We propose the combination of digital quantum simulation and variational quantum algorithms as an al...
Variational Quantum Algorithms are hybrid classical-quantum algorithms where classical and quantum c...
Quantum computation is a subject born out of the combination between physics and computer science. I...
Hybrid quantum-classical algorithms are central to much of the current research in quantum computing...
In this thesis, we aim to answer one research question: What is the algorithmic role of classical co...
Applications such as simulating complicated quantum systems or solving large-scale linear algebra pr...
Since we are entering the Post-Moore Law era and consequently the limit of Von Neumann's architectur...
As quantum computers mature, the applicability in practice becomes more important. Quantum computers...
These days, research groups such as Google, Microsoft, and Rigetti are working towards fabricating q...
In recent years, programmable quantum devices have reached sizes and complexities which put them out...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
Quantum computers can exploit a Hilbert space whose dimension increases exponentially with the numbe...
Many quantum algorithms have daunting resource requirements when compared to what is available today...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
Here we address the algorithmic side of quantum chemistry applications by introducing a Python 3 cod...
We propose the combination of digital quantum simulation and variational quantum algorithms as an al...
Variational Quantum Algorithms are hybrid classical-quantum algorithms where classical and quantum c...
Quantum computation is a subject born out of the combination between physics and computer science. I...