Efficient Scalable Tomography of Many-Qubit Quantum Processors

Technical Report · Tue Sep 01 04:00:00 EDT 2020

DOI:https://doi.org/10.2172/1673168· OSTI ID:1673168

Nielsen, Erik ^[1]

---

1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Quantum computing has the potential to realize powerful and revolutionary applications. A quantum computer can, in theory, solve certain problems exponentially faster than its classical counterparts. The current state of the art devices, however, are too small and noisy to practically realize this goal. An important tool for the advancement of quantum hardware, called model-based characterization, seeks to learn what types of noise are exhibited in a quantum processor. This technique, however, is notoriously difficult to scale up to even modest numbers of qubit, and has been limited to just 2 qubits until now. In this report, we present a novel method for performing model-based characterization, or tomography, on a many-qubit quantum processor. We consider up to 10 qubits, but the technique is expected to scale to even larger systems.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1673168
• Report Number(s): SAND--2020-10518; 691290
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING