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TERATEC 2019 Forum
Workshops - Wednesday June 12

Workshop 2 - 09:00 to 12:30
Quantum computing : which applications will benefit ?
Chaired by Cyril ALLOUCHE, Atos and Henri CALANDRA, Total

Quantum Computing with superconducting qubits: Applications in Chemistry

By Ivano TAVERNELLI, IBM Global leader for advanced algorithms for quantum simulations, IBM Research (Zurich)

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 computers based on classical algorithms. 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 problems with potential quantum speedup have been brought forward in the domain of quantum physics, like eigenvalue-search using quantum phase estimation algorithms and evaluation of observables in quantum chemistry, e.g. by means of the hybrid variational quantum eigensolver (VQE) algorithm.

The original idea that a quantum computer can potentially solve many-body quantum mechanical problems more efficiently than classical algorithms is due to R. Feynman who proposed to use quantum algorithms to investigate the fundamental properties of nature at the quantum scale. In particular, the simulation of the electronic structure of molecular and condensed matter systems is a challenging computational task as the cost of resources increases exponentially with the number of electrons when accurate solutions are required. With the deeper understanding of complex quantum systems acquired over the last decades this exponential barrier bottleneck may be overcome by the use of quantum computing hardware. To achieve this goal, new quantum algorithms need to be develop that are able to best exploit the potential of quantum speed-up [1,2]. While this effort should target the design of quantum algorithms for the future fault-tolerant quantum hardware, there is pressing need to develop algorithms, which can be implemented in present-day NISQ (noisy intermediate scale quantum) devices with limited coherence times [3,4].

In this talk, we will first introduce the basics of quantum computing using super-conducting qubits, focusing on those aspects that are crucial for the implementation of quantum chemistry algorithms. In the second part, I will briefly discuss the limitations of currently available classical approaches and highlight the advantages of the new generation of quantum algorithms for the solution of many-electron problems in chemistry and physics.

[1] B.P. Lanyon et al., Nature Chem. 2, 106 (2010).
[2] N. Moll, et al., Quantum Sci. Technol. 3, 030503 (2018).
[3] A. Kandala et al., Nature, 549, 242 (2017).
[4] P. Baroutsos, et al., Phys. Rev. A, 98 022322 (2018).

  Biography : Dr. Ivano Tavernelli (master in biochemistry at ETHZ (1991), master in theoretical physics at ETHZ (1996), PhD at ETHZ (1999)) is a research staff member at IBM since 2014 and became IBM global leader for quantum applications in chemistry and physics in 2018. He works on quantum simulations for applications in chemistry, material science, and optimization problems. In quantum computing he is focusing on the design of efficient quantum algorithms for state-of-the-art (NISQ) quantum devices based on superconducting circuits. Prior to IBM, he held a position as Maitre of Teaching and Research at the Swiss Federal institute of Technology of Lausanne (EPFL).

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To find the workshops of previous TERATEC Forum editions dealing with Quantum computing and download the presentations.

Chaired by Guillaume COLIN DE VERDIERE, CEA

Quantum Computing: Moving Out of the Lab and Into the Real World
Bob SORENSEN, Vice President of Research and Technology and Chief Analyst for Quantum Computing, HYPERION RESEARCH

Atos QLM, a future-proof approach to quantum computing
Christelle PIECHURSKI et Thomas AYRAL, ATOS

Quantum computing with superconducting qubits – Towards useful applications
Stefan FILIPP, Technical Leader Quantum Computing, IBM Research Zurich

Leading the evolution of compute: Quantum Computinge
Anne MATSUURA, Director of Quantum Applications and Architecture, INTEL Labs

Scalable Quantum Computing approach at Microsoft
Bernard OURGHANLIAN, Chief Technology & Security Officer, MICROSOFT France

Quantum Computing at Google
Kevin KISSELL, Cloud technical director, GOOGLE

For any other information regarding the workshops, please contact :

Jean-Pascal JEGU
Tel : +33 (0)9 70 65 02 10
2, rue de la Piquetterie


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