An entanglement-based volumetric benchmark for near-term quantum hardware
ORAL
Abstract
We introduce a volumetric benchmark for near-term quantum platforms based on the generation and verification of genuine entanglement across n-qubits using graph states and direct stabilizer measurements. Our benchmark evaluates the robustness of multipartite and bipartite n-qubit entanglement with respect to many sources of hardware noise: qubit decoherence, CNOT and swap gate noise, and readout error. We demonstrate our benchmark on multiple superconducting qubit platforms available from IBM (ibmq_belem, ibmq_toronto, ibmq_guadalupe and ibmq_jakarta). Subsets of n < 10 qubits are used for graph state preparation and stabilizer measurement. Evaluation of genuine and biseparable entanglement witnesses we report observations of 5 qubit genuine entanglement, but robust multipartite entanglement is difficult to generate for n > 4 qubits and identify two-qubit gate noise as strongly correlated with the quality of genuine multipartite entanglement.
–
Presenters
-
Kathleen Hamilton
Oak Ridge National Laboratory
Authors
-
Kathleen Hamilton
Oak Ridge National Laboratory
-
Nouamane Laanait
Carelon Digital Platforms
-
Akhil Francis
North Carolina State University
-
Sophia Economou
Virginia Tech, VirginiaTech
-
George Barron
Virginia Tech
-
Kubra Yeter-Aydeniz
Mitre Corp, MITRE
-
Titus Morris
Oak Ridge National Laboratory
-
Harrison Cooley
Georgetown University
-
Muhun Kang
Cornell University
-
Raphael Pooser
ORNL, Oak Ridge National Laboratory