Última modificación: 28/05/2021 - 09:14
El viernes 4 de junio a las 12.30 h tendrá lugar la séptima conferencia de este ciclo que la impartirá Ivano Tavernelli (IBM Zurich Research Laboratory). Se titula "Quantum computing for quantum chemistry and physics applications", y podréis seguirla online desde el canal de YouTube.
Título: Quantum computing for quantum chemistry and physics applications lies of liquid water
Ponente: Ivano Tavernelli (IBM Zurich Research Laboratory)
Lugar: Youtube: https://www.youtube.com/channel/UCOoO0Np2ratjHr2TOaDH_1g
Fecha y hora: viernes 4 de junio a las 12:30
Resumen de la charla: Quantum computing is emerging as a new paradigm for the solution of a wide class of problems that are not accessible by conventional high performance classical computers.
Quantum computers can in principle efficiently solve problems that require exponential resources on classical hardware, even when using the best known classical algorithms. In the last few years, several interesting solutions with potential quantum speedup have been brought forward in the domain of quantum physics, like the quantum phase estimation algorithm and the hybrid variational quantum eigensolver.
The original idea that a quantum machine can potentially solve many-body quantum mechanical problems more efficiently than classical computers is due to R. Feynman who proposed the use of quantum computers to investigate the fundamental properties of nature at the quantum scale. In particular, the solution of the problems in electronic structure, material design, high energy physics, and statistical mechanics (just to mention a few) is a challenging computational task as the number of resources needed increases exponentially with the number of degrees of freedom. Thanks to the development of new quantum technologies witnessed over the last decades, we have now the possibility to address these classes of problems with the help quantum computers. To achieve this goal, new quantum algorithms able to best exploit the potential quantum speedup of state-of-the-art, noisy, quantum hardware have also been developed.
In this talk, I will first introduce the basics of quantum computing using superconducting qubits, focusing on those aspects that are crucial for the implementation of quantum chemistry and physics algorithms. In the second part, I will highlight the potential advantages of the new generation of quantum algorithms for applications in chemistry, physics and biology.
Resumen CV: Ivano Tavernelli is a Research Staff Member in Quantum Technology at IBM Research – Zurich. In 2018 he became IBM Global leader for Advanced Algorithms Quantum Simulations, responsible for quantum simulations and applications. He also co-leads the development of the IBM software platform Qiskit Nature. His focus is the design of efficient and scalable quantum algorithms for near-term and fault-tolerant quantum computers.