Idle tomography: Efficient gate characterization for N-qubit processors
ORAL
Abstract
Quantum process tomography is famously unscalable to many qubits. But the problem is actually the size of the model — arbitrary N-qubit process matrices — rather than the number of qubits. The vast majority of possible N-qubit errors will not occur in real processors. Here, we introduce a concrete reduced model of low-weight (few-qubit) errors on N qubits. It has O(N2) parameters, and captures all the commonly conceived failure modes. Then, we introduce a simple and transparent tomography protocol for measuring the error rates, whose complexity scales very efficiently with N. We demonstrate it with simulations and experimental results.
–
Presenters
-
Robin Blume-Kohout
Center for Computing Research, Sandia National Laboratories, Sandia National Laboratories
Authors
-
Robin Blume-Kohout
Center for Computing Research, Sandia National Laboratories, Sandia National Laboratories
-
Erik Nielsen
Sandia National Laboratories
-
Kenneth Rudinger
Center for Computing Research, Sandia National Laboratories, Sandia National Laboratories, Sandia Natl Labs
-
Kevin Young
Sandia National Laboratories
-
Mohan Sarovar
Sandia National Laboratories, Sandia National Laboratories California
-
Timothy Proctor
Sandia National Laboratories