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DTSTART:19700308T020000
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DTSTAMP:20250822T115805Z
LOCATION:Campussaal - Plenary Room
DTSTART;TZID=Europe/Stockholm:20250616T102000
DTEND;TZID=Europe/Stockholm:20250616T105000
UID:submissions.pasc-conference.org_PASC25_sess149_pos131@linklings.com
SUMMARY:P04 - Calculation of Spin Hole Qubit Eigenstates with GPU-Accelera
 ted Rayleigh–Chebyshev Subspace Iteration Method
DESCRIPTION:Alexander Maeder, Ilan Bouquet, Vincent Maillou, and Alexandro
 s Nikolaos Ziogas (ETH Zurich); Chris Anderson (UCLA); and Mathieu Luisier
  (ETH Zurich)\n\nQuantum computers leverage quantum mechanical effects to 
 solve complex problems exponentially faster than classical computers. Thei
 r building blocks, or 'qubits', can be realized with different technologie
 s. Silicon spin hole qubits are one of the most promising ones, thanks to 
 their long coherence times, potentially fast manipulations, and already ma
 tured fabrication processes, as they can be encompassed within conventiona
 l CMOS transistors. Nevertheless, the performance of spin hole qubits is s
 till far from optimal. Hence, the availability of advanced modeling platfo
 rms is key to capturing qubits' complex physics and optimizing this techno
 logy. The standard approach to simulate spin hole qubits consists of self-
 consistently solving the Schrödinger and Poisson equations and producing t
 hese systems' ground-state energies and charge distributions. The core ope
 ration is solving sparse eigenvalue problems for the smallest eigenpairs. 
 For this purpose, we developed a GPU-accelerated Rayleigh–Chebyshev subspa
 ce iteration solver. Our solver relies on custom CPU/GPU kernels written i
 n C++/CUDA and different CUDA library calls. Performance evaluations were 
 conducted on the ALPS supercomputer and its Grace Hopper superchips. Our i
 mplementation overcomes previous time limitations achieving a speed-up of 
 ~17x on a single GPU over the previous CPU Krylov approach, enabling high-
 resolution simulations of multi-qubit structures.\n\nSession Chair: Chris 
 Cantwell (Imperial College London)\n\n
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