Andre van Rynbach

Scalable digital hardware for a trapped ion quantum computer

Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the classical control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable classical control system capable of frequency stabilizing the continuous wave lasers necessary for loading, cooling, initialization, and detection of the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

An integrated mirror and surface ion trap with a tunable trap location

We report a demonstration of a surface ion trap fabricated directly on a highly reflective mirror surface, which includes a secondary set of radio frequency (RF) electrodes allowing for translation of the quadrupole RF null location. We introduce a position-dependent photon scattering rate for a

A Quantum Computing Performance Simulator Based on Circuit Failure Probability and Fault Path Counting

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Design and characterization of an integrated surface ion trap and micromirror optical cavity

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Integrated Optical Systems Approach to Ion Trap Quantum Repeaters

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Scalable Quantum Information Processing with Trapped Ions

ion in the direction perpendicular to the trap surface using a standing wave of retroreflected light off the mirror surface directly below the trap. Using this setup, we demonstrate the capability of fine-tuning the RF trap location with nanometer scale precision and characterize the charging effects of the dielectric mirror surface upon exposure to ultra-violet light.

Triplet Excitation Energy Dynamics in Metal–Organic Frameworks

Quantum computing performance simulators are needed to provide practical metrics for the effectiveness of executing theoretical quantum information processing protocols on physical hardware. In this work, we present a tool to simulate the execution of fault-tolerant quantum computation by automating the tracking of common fault paths for error propagation through an encoded circuit block and quantifying the failure probability of each encoded qubit throughout the circuit. Our simulator runs a fault path counter on encoded circuit blocks to determine the probability that two or more errors remain on the encoded qubits after each block is executed, and it combines errors from all the encoded blocks to estimate performance metrics such as the logical qubit failure probability, the overall circuit failure probability, the number of qubits used, and the time required to run the overall circuit. Our technique efficiently estimates the upper bound of the error probability and provides a useful measure of the error threshold at low error probabilities where conventional Monte Carlo methods are ineffective. We describe a way of simplifying the fault-tolerant measurement process in the Steane code to reduce the number of error correction steps necessary. We present simulation results comparing the execution of quantum adders, which constitute a major part of Shor’s algorithm.

Characterization of a Compact Cryogenic Package Approach to Ion Trap Quantum Comuting

We have fabricated and characterized laser-ablated micromirrors on fused silica substrates for constructing stable Fabry-Perot optical cavities. We highlight several design features which allow these cavities to have lengths in the 250-300 μm range and be integrated directly with surface ion traps. We present a method to calculate the optical mode shape and losses of these micromirror cavities as functions of cavity length and mirror shape, and confirm that our simulation model is in good agreement with experimental measurements of the intracavity optical mode at a test wavelength of 780 nm. We have designed and tested a mechanical setup for dampening vibrations and stabilizing the cavity length, and explore applications for these cavities as efficient single-photon sources when combined with trapped Yb171+ ions.

Microfabricated Surface Trap and Cavity Integration for High Fidelity State Detection and Photon Collection from Trapped Ions.

A quantum communication node with high quality quantum memories and photonic interfaces capable of quantum logic operations provide a technology platform for realizing quantum repeaters. We will discuss a viable implementation in trapped ion systems.

An ion trap photonic interface for efficient remote entanglement

We present a scalable approach to quantum information processing utilizing trapped ions and photons. Ions trapped in microfabricated surface traps provide a practical platform for realizing quantum networks of distributed computing nodes and quantum repeaters.