Published February 9, 2021 | Version v1
Journal article Open

Computational power of matchgates with supplementary resources

  • 1. University of Innsbruck
  • 2. University of Cambridge

Description

We study the classical simulation complexity, in both the weak and strong senses, of matchgate (MG)
computations supplemented with all combinations of settings involving inclusion of intermediate adaptive or
nonadaptive computational basis measurements, product state or magic and general entangled state inputs, and
single- or multiple-line outputs. We find a striking parallel to known results for Clifford circuits, after some
rebranding of resources. We also give bounds on the amount of classical simulation effort required in the
case of limited access to intermediate measurements and entangled inputs. In further settings we show that
adaptive MG circuits remain classically efficiently simulable if arbitrary two-qubit entangled input states on
consecutive lines are allowed, but become quantum universal for three or more lines. And if adaptive measurements
in noncomputational bases are allowed, even with just computational basis inputs, we get quantum
universal power again.

Notes

We thank Mithuna Yoganathan for helpful discussions and suggestions on the content of this work, especially in relation to Fig. 1. M.H. and B.K. acknowledge financial support from the Austrian Science Fund (FWF), Grant No. DK-ALM: W1259-N27, and the SFB BeyondC (Grant No. 052604-14 COMPUTATIONAL POWER OF MATCHGATES WITH … PHYSICAL REVIEW A 102, 052604 (2020) F7107-N38). Furthermore, B.K. acknowledges support from the Austrian Academy of Sciences via the Innovation Fund "Research, Science, and Society." R.J. and S.S. acknowledge support from the QuantERA ERA-NET Cofund in Quantum Technologies implemented within the European Union's Horizon 2020 Programme (QuantAlgo project), and administered through EPSRC Grant No. EP/R043957/1, and S.S. support from the Leverhulme Early Career Fellowship scheme.

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Additional details

Funding

FWF Austrian Science Fund
Quantum Information Systems Beyond Classical Capabilities F 71