Robust Entanglement Gates for Trapped-Ion Qubits.

Phys Rev Lett

Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel.

Published: November 2018

High-fidelity two-qubit entangling gates play an important role in many quantum information processing tasks and are a necessary building block for constructing a universal quantum computer. Such high-fidelity gates have been demonstrated on trapped-ion qubits; however, control errors and noise in gate parameters may still lead to reduced fidelity. Here we propose and demonstrate a general family of two-qubit entangling gates which are robust to different sources of noise and control errors. These gates generalize the renowned Mølmer-Sørensen gate by using multitone drives. We experimentally implemented several of the proposed gates on ^{88}Sr^{+} ions trapped in a linear Paul trap and verified their resilience.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevLett.121.180502DOI Listing

Publication Analysis

Top Keywords

trapped-ion qubits
8
two-qubit entangling
8
entangling gates
8
control errors
8
gates
6
robust entanglement
4
entanglement gates
4
gates trapped-ion
4
qubits high-fidelity
4
high-fidelity two-qubit
4

Similar Publications

Quantum computers hold the promise of more efficient combinatorial optimization solvers, which could be game-changing for a broad range of applications. However, a bottleneck for materializing such advantages is that, in order to challenge classical algorithms in practice, mainstream approaches require a number of qubits prohibitively large for near-term hardware. Here we introduce a variational solver for MaxCut problems over binary variables using only n qubits, with tunable k > 1.

View Article and Find Full Text PDF

In this paper, we introduce the workflow for converting qubit circuits represented by Open Quantum Assembly format (OpenQASM, also known as QASM) into the qudit form for execution on qudit hardware and provide a method for translating qudit experiment results back into qubit results. We present the comparison of several qudit transpilation regimes, which differ in decomposition of multicontrolled gates: as ordinary qubit transpilation and execution, with d=3 levels and single qubit in qudit, and with d=4 levels and 2 qubits per ququart. We provide several examples of transpiling circuits for trapped ion qudit processors, which demonstrate potential advantages of qudits.

View Article and Find Full Text PDF

Verifiable measurement-based quantum random sampling with trapped ions.

Nat Commun

January 2025

Joint Center for Quantum Information and Computer Science (QuICS), University of Maryland & NIST, College Park, MD, USA.

Quantum computers are now on the brink of outperforming their classical counterparts. One way to demonstrate the advantage of quantum computation is through quantum random sampling performed on quantum computing devices. However, existing tools for verifying that a quantum device indeed performed the classically intractable sampling task are either impractical or not scalable to the quantum advantage regime.

View Article and Find Full Text PDF

Electron transfer is at the heart of many fundamental physical, chemical, and biochemical processes essential for life. The exact simulation of these reactions is often hindered by the large number of degrees of freedom and by the essential role of quantum effects. Here, we experimentally simulate a paradigmatic model of molecular electron transfer using a multispecies trapped-ion crystal, where the donor-acceptor gap, the electronic and vibronic couplings, and the bath relaxation dynamics can all be controlled independently.

View Article and Find Full Text PDF

End-to-end variational quantum sensing.

npj Quantum Inf

November 2024

University of Waterloo, Department of Physics & Astronomy, 200 University Ave., Waterloo, ON Canada.

Harnessing quantum correlations can enable sensing beyond classical precision limits, with the realization of such sensors poised for transformative impacts across science and engineering. Real devices, however, face the accumulated impacts of noise and architecture constraints, making the design and success of practical quantum sensors challenging. Numerical and theoretical frameworks to optimize and analyze sensing protocols in their entirety are thus crucial for translating quantum advantage into widespread practice.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!