Quantum Computation SG Seminar
2 events

Seminar
Using a trapped ion quantum computer for hamiltonian simulations
February 28 (Wed) at 10:30  12:00, 2024
Enrico Rinaldi (Senior Research Scientist, Quantum Machine Learning and Algorithms, Quantinuum K.K.)
Trapped ion quantum computers, like the Hseries quantum hardware by Quantinuum, robustly encode quantum information in long lived and precise qubits. However, utilizing the hardware efficiently requires a fullstack workflow from software libraries to hardware compilers. In this talk we introduce the relevant elements of this stack in the context of solving the quantum dynamics of a spin system on Hseries hardware: we start from the definition of the Hamiltonian operator in the qubit Hilbert space using the opensource pytket python library and we define the quantum circuits in measurements to run, on a simulator first and on hardware later.
Venue: Seminar Room #359 (Main Venue) / via Zoom
Event Official Language: English

Seminar
Energy spectrum and time evolution of a SU(2) pure gauge lattice theory on a quantum annealer
December 18 (Mon) at 14:00  15:00, 2023
Emanuele Mendicelli (Postdoctoral Research Associate, Department of Mathematical Sciences, University of Liverpool, UK)
Lattice gauge theory is an indispensable tool for nonAbelian fields, such as those in quantum chromodynamics where lattice results have been of central importance for several decades. Recent studies suggest that quantum hardware could extend the reach of lattice gauge theory to inaccessible phenomena due to the need for an exponentially large amount of resources, the socalled sign problem. Among the available quantum hardware gatebased quantum computer are well know but less common quantum annealer can play a role too. In this talk we briefly report one of the first use of DWave quantum annealer to study the energy spectrum and the time evolution of a SU(2) pure gauge lattice theory in its Hamiltonian formulation. In particular we present how to extract the energy spectrum using the quantum Quantum Annealer Eigensolver algorithm and perform the time evolution using the KitaevFeynman clock states. Despite the nosy hardware, no error mitigation techniques were needed but the usability of the DWave hardware was extended by simply blockdiagonalizing the Hamiltonian.
Venue: Seminar Room #359 (Main Venue) / via Zoom
Event Official Language: English
2 events