Computing with spin qubits at the surface code error threshold
- URL: http://arxiv.org/abs/2107.00628v1
- Date: Thu, 1 Jul 2021 17:35:01 GMT
- Title: Computing with spin qubits at the surface code error threshold
- Authors: Xiao Xue, Maximilian Russ, Nodar Samkharadze, Brennan Undseth, Amir
Sammak, Giordano Scappucci, Lieven M. K. Vandersypen
- Abstract summary: We report a spin-based quantum processor in silicon with single- and two-qubit gate fidelities above 99.5%.
We execute the demanding task of calculating molecular ground state energies using a variational quantum eigensolver algorithm.
- Score: 1.2049205598273507
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: High-fidelity control of quantum bits is paramount for the reliable execution
of quantum algorithms and for achieving fault-tolerance, the ability to correct
errors faster than they occur. The central requirement for fault-tolerance is
expressed in terms of an error threshold. Whereas the actual threshold depends
on many details, a common target is the ~1% error threshold of the well-known
surface code. Reaching two-qubit gate fidelities above 99% has been a
long-standing major goal for semiconductor spin qubits. These qubits are well
positioned for scaling as they can leverage advanced semiconductor technology.
Here we report a spin-based quantum processor in silicon with single- and
two-qubit gate fidelities all above 99.5%, extracted from gate set tomography.
The average single-qubit gate fidelities remain above 99% when including
crosstalk and idling errors on the neighboring qubit. Utilizing this
high-fidelity gate set, we execute the demanding task of calculating molecular
ground state energies using a variational quantum eigensolver algorithm. Now
that the 99% barrier for the two-qubit gate fidelity has been surpassed,
semiconductor qubits have gained credibility as a leading platform, not only
for scaling but also for high-fidelity control.
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