Pei Jiang Low

Trapping $\mathbf{Ba}^+$ with Seven-fold Enhanced Efficiency Utilizing an Autoionizing Resonance

Noah Greenberg, Brendan M. White, Pei Jiang Low, Crystal Senko [1]

Abstract

Trapped ions have emerged as a front runner in quantum information processing due to their identical nature, all-to-all connectivity, and high fidelity quantum operations. As current trapped ion technologies are scaled, it will be important to improve the efficiency of loading ions, which is currently the slowest process in operating a trapped ion quantum computer. Here, we compare two isotope-selective photoionization schemes for loading $^{138}\mathrm{Ba}^+$ ions. We show that a two-step photoionization scheme ending in an autoionizing transition increases the ion loading rate nearly an order of magnitude compared to an established technique which does not excite an autoionizing state. The only additional technology required to implement the autoionizing transition is a commercial diode laser. Our technique can be extended to all isotopes of barium, and autoionizing resonances exist in every species currently used for trapped ion quantum processing, making this a promising technique to drastically increase the loading rates for all trapped ion computers.

Control and Readout of a 13-level Trapped Ion Qudit

Pei Jiang Low [1], Brendan White [1], Crystal Senko [1]

Abstract

To implement useful quantum algorithms which demonstrate quantum advantage, we must scale currently demonstrated quantum computers up significantly. Leading platforms such as trapped ions face physical challenges in including more information carriers. A less explored avenue for scaling up the computational space involves utilizing the rich energy level structure of a trapped ion to encode multi-level qudits rather than two-level qubits. Here we show control and single-shot readout of qudits with up to 13 computational states, using protocols which can be extended directly to manipulate qudits of up to 25 levels in our chosen information host, $^{137}\text{Ba}^{+}$. This represents more than twice as many computational states per qudit compared with prior work in trapped ions. In addition to the preparation and readout protocols we demonstrate, universal quantum computation requires other quantum logic primitives such as entangling gates. These primitives have been demonstrated for lower qudit dimensions and can be directly generalized to the higher dimensions we employ. Hence, our advance opens an avenue towards using high-dimensional qudits for large-scale quantum computation. We anticipate efficiently utilizing available energy states in a trapped ion to play a significant and complementary role in tackling the challenge in scaling up the computational space of a trapped ion quantum computer. A qudit architecture also offers other practical benefits, which include affording relaxed fault tolerance thresholds for quantum error correction, providing an avenue for efficient quantum simulation of higher spin systems, and more efficient qubit gates.

Isotope-Selective Laser Ablation Ion-Trap Loading of $\mathbf{^{137}\mathrm{Ba}^+}$ using a $\mathbf{\mathrm{BaCl}_2}$ Target

Brendan M. White [1,2], Pei Jiang Low [1,2], Yvette de Sereville [1,2], Matthew L. Day [1,2], Noah Greenberg [1,2], Richard Rademacher [1,2], Crystal Senko [1,2]

Abstract

The $^{133}\mathrm{Ba}^+$ ion is a promising candidate as a high-fidelity qubit, and the $^{137}\mathrm{Ba}^+$ isotope is promising as a high-fidelity qudit ($d>2$). Barium metal is very reactive, and $^{133}\mathrm{Ba}^+$ is radioactive and can only be sourced in small quantities, so the most commonly used loading method, oven heating, is less suited for barium, and is currently not possible for $^{133}\mathrm{Ba}^+$.Pulsed laser ablation solves both of these problems by utilizing compound barium sources, while also giving some distinct advantages, such as fast loading, less displaced material, and lower heat load near the ion trap. Because of the relatively low abundances of the isotopes of interest, a two-step photoionization technique is used, which gives us the ability to selectively load isotopes. Characterization of the ablation process for our $\mathrm{BaCl}_2$ targets are presented, including observation of neutral and ion ablation-fluence regimes, preparation/conditioning and lifetimes of ablation spots, and plume velocity distributions.We show that using laser ablation on $\mathrm{BaCl}_2$ salt targets with a two-step photoionization method, we can produce and trap barium ions reliably. Further, we demonstrate that with our photoionization method, we can trap $^{137}\mathrm{Ba}^+$ with an enhanced selectivity compared to its natural abundance.

Practical trapped-ion protocols for universal qudit-based quantum computing

Pei Jiang Low [1,2], Brendan M. White [1,2], Andrew A. Cox [1], Matthew L. Day [1,2], Crystal Senko [1,2]

Abstract

The notion of universal quantum computation can be generalized to multi-level qudits, which offer advantages in resource usage and algorithmic efficiencies. Trapped ions, which are pristine and well-controlled quantum systems, offer an ideal platform to develop qudit-based quantum information processing. Previous work has not fully explored the practicality of implementing trapped-ion qudits accounting for known experimental error sources. Here, we describe a universal set of protocols for state preparation, single-qudit gates, a new generalization of the Mølmer-Sørensen gate for two-qudit gates, and a measurement scheme which utilizes shelving to a meta-stable state. We numerically simulate known sources of error from previous trapped ion experiments, and show that there are no fundamental limitations to achieving fidelities above \(99\%\) for three-level qudits encoded in \(^{137}\mathrm{Ba}^+\) ions. Our methods are extensible to higher-dimensional qudits, and our measurement and single-qudit gate protocols can achieve \(99\%\) fidelities for five-level qudits. We identify avenues to further decrease errors in future work. Our results suggest that three-level trapped ion qudits will be a useful technology for quantum information processing.