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High-Fidelity Preparation, Gates, Memory, and Readout of a Trapped-Ion Quantum Bit.
We implement all single-qubit operations with fidelities significantly above the minimum threshold required for fault-tolerant quantum computing, using a trapped-ion qubit stored in hyperfine "atomic
High-Fidelity Quantum Logic Gates Using Trapped-Ion Hyperfine Qubits.
We demonstrate laser-driven two-qubit and single-qubit logic gates with respective fidelities 99.9(1)% and 99.9934(3)%, significantly above the ≈99% minimum threshold level required for
Demonstration of a small programmable quantum computer with atomic qubits
A five-qubit trapped-ion quantum computer that can be programmed in software to implement arbitrary quantum algorithms by executing any sequence of universal quantum logic gates, which provides the flexibility to implement a variety of algorithms without altering the hardware.
Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights
This work has built the first top-to- bottom toolflow to target different qubit device technologies, including superconducting and trapped ion qubits which are the current QC front-runners, and demonstrates that leveraging microarchitecture details in the compiler improves program success rate.
Experimental comparison of two quantum computing architectures
It is shown that quantum algorithms and circuits that use more connectivity clearly benefit from a better-connected system of qubits, and suggested that codesigning particular quantum applications with the hardware itself will be paramount in successfully using quantum computers in the future.
Complete 3-Qubit Grover search on a programmable quantum computer
The authors perform the Grover quantum search algorithm on 3 qubits using trapped ions, demonstrating two methods for marking the correct result in the algorithm’s oracle and providing data for searches yielding 1 or 2 solutions.
Verified quantum information scrambling
A quantum circuit in an ion-trap quantum computer provides a positive test for the scrambling features of a given unitary process, and is implemented as part of a seven-qubit circuit on an ion trap quantum computer to experimentally bound the scrambling-induced decay of the corresponding OTOC measurement.
Training of quantum circuits on a hybrid quantum computer
This study trains generative modeling circuits on a quantum hybrid computer showing an optimization strategy and a resource trade-off and shows that the convergence of the quantum circuit to the target distribution depends critically on both the quantum hardware and classical optimization strategy.
Implementation of a symmetric surface-electrode ion trap with field compensation using a modulated Raman effect
We describe a new electrode design for a surface-electrode Paul trap, which allows rotation of the normal modes out of the trap plane, and a technique for micromotion compensation in all directions
Generation of thermofield double states and critical ground states with a quantum computer
This work generates nontrivial thermal quantum states of the transverse-field Ising model (TFIM) by preparing thermofield double states at a variety of temperatures and prepares the critical state of the TFIM at zero temperature using quantum–classical hybrid optimization.