Turbocharging Quantum Tomography

Technical Report · Thu Jan 01 04:00:00 EST 2015

DOI:https://doi.org/10.2172/1168946· OSTI ID:1168946

Blume-Kohout, Robin J. ^[1]; Gamble, John King ^[1]; Nielsen, Erik ^[1]; Maunz, Peter Lukas Wilhelm ^[1]; Scholten, Travis L. ^[1]; Rudinger, Kenneth Michael ^[1]

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

Quantum tomography is used to characterize quantum operations implemented in quantum information processing (QIP) hardware. Traditionally, state tomography has been used to characterize the quantum state prepared in an initialization procedure, while quantum process tomography is used to characterize dynamical operations on a QIP system. As such, tomography is critical to the development of QIP hardware (since it is necessary both for debugging and validating as-built devices, and its results are used to influence the next generation of devices). But tomography suffers from several critical drawbacks. In this report, we present new research that resolves several of these flaws. We describe a new form of tomography called gate set tomography (GST), which unifies state and process tomography, avoids prior methods critical reliance on precalibrated operations that are not generally available, and can achieve unprecedented accuracies. We report on theory and experimental development of adaptive tomography protocols that achieve far higher fidelity in state reconstruction than non-adaptive methods. Finally, we present a new theoretical and experimental analysis of process tomography on multispin systems, and demonstrate how to more effectively detect and characterize quantum noise using carefully tailored ensembles of input states.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1168946
• Report Number(s): SAND2015--0224; 562144
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING