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Related Experiment Video

Updated: Dec 6, 2025

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots

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Published on: November 1, 2013

Demonstrating a Continuous Set of Two-Qubit Gates for Near-Term Quantum Algorithms.

B Foxen^1,2, C Neill², A Dunsworth²

¹Department of Physics, University of California, Santa Barbara, California 93106, USA.

Physical Review Letters

|October 5, 2020

Summary

This summary is machine-generated.

Researchers developed a new quantum gate set for noisy hardware, reducing circuit depth by threefold. This advancement optimizes quantum algorithms for material science and chemistry simulations on current quantum computers.

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Area of Science:

Quantum computing
Quantum algorithms
Quantum hardware optimization

Background:

Quantum algorithms promise significant speedups for computational chemistry and material science.
Near-term quantum algorithms require optimization for noisy, resource-limited quantum hardware.

Purpose of the Study:

To demonstrate a continuous two-qubit gate set optimized for existing noisy quantum hardware.
To reduce circuit depth for quantum simulations.

Main Methods:

Utilized adjustable coupling of gmon qubits.
Implemented continuous imaginary swap-like (iSWAP-like) and controlled-phase gate families.
Benchmarked gate fidelity across the fSim(θ,ϕ) parameter space.

Main Results:

Achieved a threefold reduction in circuit depth compared to standard decompositions.
Demonstrated an arbitrary two-qubit gate within the excitation-preserving subspace.
Attained a purity-limited average two-qubit Pauli error of 3.8×10⁻³ per fSim gate.

Conclusions:

The developed gate set enables efficient implementation of the Fermionic simulation (fSim) gate set on current quantum devices.
This optimization is crucial for advancing quantum simulations in chemistry and material science.
The results highlight the potential of tunable couplers for near-term quantum computing applications.