APS Logo

Experimental Demonstration of the Harrow-Hassidim-Lloyd Algorithm on a 4-Qubit Spin Register in Silicon

ORAL

Abstract

Spin qubits in silicon have rapidly advanced in recent years, moving from a single-qubit testbed to small multi-qubit processors. However, demonstrations of small-scale quantum algorithms have been limited to three qubits in part due to the limited qubit connectivity in spin qubit processors. Spin registers hosted by phosphorus atoms in silicon natively support all-to-all connectivity and have recently demonstrated single- and two-qubit gate fidelities above 99 % [1]. Here, we implement the 4-qubit HHL algorithm [2] on a spin register in silicon. We explore two versions of the algorithm: a simplified version in which key states are directly encoded into the circuit, and a complete version where all subroutines are fully implemented. We characterize both versions using quantum process tomography and achieve fidelities of 93.4(5) % and 89.1(5) %, respectively. The slight reduction in fidelity emphasizes the benefits of running quantum algorithms on a highly interconnected platform. The ongoing development of exchange-based electron gates between spin registers [3] will enable further extensions to the full HHL algorithm in the future.

[1] Thorvaldson et.al., arXiv:2404.08741 (2024)

[2] Harrow et al., PRL, 103 (2009) 150502

[3] He et al., Nature, 571 (2019) 371-375

Publication: Solving Systems of Linear Equations with a 4-Qubit Spin Register in Silicon

Presenters

  • Henric Bornemann

    Silicon Quantum Computing

Authors

  • Henric Bornemann

    Silicon Quantum Computing

  • Ian Thorvaldson

    Silicon quantum computing, Silicon Quantum Computing

  • Dean Poulos

    Silicon Quantum Computing

  • Christian M Moehle

    Silicon Quantum Computing

  • Jonathan Reiner

    Silicon Quantum Computing

  • Christian Lehner

    Silicon Quantum Computing

  • Joris G Keizer

    Silicon Quantum Computing

  • Yousun Chung

    Silicon Quantum Computing

  • Ludwik Kranz

    Silicon quantum computing, Silicon Quantum Computing

  • Benoit Voisin

    Silicon Quantum Computing

  • Sam K Gorman

    Silicon Quantum Computing

  • Charles D Hill

    Silicon quantum computing, Silicon Quantum Computing

  • Michelle Y Simmons

    Silicon quantum computing, Silicon Quantum Computing, University of New South Wales