New session of the **QuantHEP Seminar – Quantum Computation and High-Energy Physics Seminar**:

Title: Exploring applications of quantum computing at CERNSpeaker: Elías F. Combarro (University of Oviedo)Date: Wednesday 8 September 2021Time: 17h00 Brussels = 11h00 New York = 8h00 San Francisco = etc. Venue: To receive the Zoom link, subscribe to the QuantHEP Seminar mailing list and/or the QuantHEP Seminar Google Calendar or iCal.Or, in alternative, watch on the QuantHEP Seminar YouTube channel. |

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This project further reinforces the Group's agenda and activities to explore the frontier between Quantum Information Science and High-Energy Physics, already ongoing in the QuantHEP – Quantum Computing Solutions for High-Energy Physics project and QuantHEP Seminar.

This Exploratory Project is funded by Fundação para a Ciência e a Tecnologia (FCT), the Portuguese Science Foundation.]]>

Ilon Joseph (Lawrence Livermore National Laboratory)

Friday 23 July 2021

at 17:00 Lisbon time

in Zoom.

Abstract:

In principle, future error-corrected quantum computers promise to accelerate the solution of many numerical algorithms that are important for scientific computing. If the system is Hamiltonian, then one natural approach is to simulate a quantized version of the system. Another natural approach is to reformulate the conservation of probability, the Liouville equation, as an equivalent Schrodinger equation with Hermitian Hamiltonian and a unitary evolution operator. The introduction of a complex phase factor allows one to represent semiclassical dynamics through a configuration space version of the Koopman-van Hove (KvH) equation, intimately related to the phase space KvH equation introduced in Ref. [1]. This semiclassical KvH formulation also solves the important problem of self-consistently coupling classical and quantum systems together. A quantum computer with finite resources can be used to simulate a finite-dimensional approximation of the unitary evolution operator. Using this approach to quantum simulation is exponentially more efficient than a deterministic Eulerian discretization of the Liouville equation if the Hamiltonian is sparse [2]. Using amplitude estimation for the calculation of observables and quantum walk techniques for state preparation can lead to up to a quadratic improvement over probabilistic Monte Carlo algorithms [2].

Work performed by LLNL under US DOE contract DE-AC52-07NA27344 was supported by the DOE Fusion Energy Sciences project “Quantum Leap for FES,” SCW-1680 and by LLNL Laboratory Directed Research and Development project 19-FS-072.

[1] D. I. Bondar, F. Gay-Balmaz, C. Tronci, Proc. R. Soc. London Ser. A 475, 20180879 (2019).

[2] I. Joseph, Phys. Rev. Research 2, 043102 (2020).]]>

Title: Engineering local U(1) symmetry in artificial systemsSpeaker: Fred Jendrzejewski (Universität Heidelberg)Date: Wednesday 7 July 2021Time: 17h00 Brussels = 11h00 New York = 8h00 San Francisco = etc. Link: QuantHEP Seminar YouTube channel |

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