REVIEW 2 cited by
Constructing Smaller Pauli Twirling Sets for Arbitrary Error Channels
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
Twirling is a technique widely used for converting arbitrary noise channels into Pauli channels in error threshold estimations of quantum error correction codes. It is vitally useful both in real experiments and in classical quantum simulations. Minimising the size of the twirling gate set increases the efficiency of simulations and in experiments it might reduce both the number of runs required and the circuit depth (and hence the error burden). Conventional twirling uses the full set of Pauli gates as the set of twirling gates. This article provides a theoretical background for Pauli twirling and a way to construct a twirling gate set with a number of members comparable to the size of the Pauli basis of the given error channel, which is usually much smaller than the full set of Pauli gates. We also show that twirling is equivalent to stabiliser measurements with discarded measurement results, which enables us to further reduce the size of the twirling gate set.
Forward citations
Cited by 2 Pith papers
-
Quantum Utility in Simulating the Real-time Dynamics of the Fermi-Hubbard Model using Superconducting Quantum Computers
A 104-qubit IBM quantum computer simulates the 1D Fermi-Hubbard model's staggered-magnetization dynamics with constant-depth Trotter circuits, matching MPS-TDVP up to time 4 but not at later times.
-
Quantum Utility-Scale Error Mitigation for Quantum Quench Dynamics in Heisenberg Spin Chains
On IBM quantum processors, self-mitigation corrects noisy Trotterized quench dynamics of Heisenberg spin chains (up to 104 qubits, over 3,000 CNOT gates) more accurately and stably than zero-noise extrapolation.
Discussion (0). Continue with ORCID to comment.