High-Fidelity Single-Shot Toffoli Gate via Quantum Control
arXiv:1501.04676 · doi:10.1103/PhysRevLett.114.200502
Abstract
A single-shot Toffoli, or controlled-controlled-NOT, gate is desirable for classical and quantum information processing. The Toffoli gate alone is universal for reversible computing and, accompanied by the Hadamard gate, forms a universal gate set for quantum computing. The Toffoli gate is also a key ingredient for (non-topological) quantum error correction. Currently Toffoli gates are achieved by decomposing into sequentially implemented single- and two-qubit gates, which requires much longer times and yields lower overall fidelities compared to a single-shot implementation. We develop a quantum-control procedure to construct a single-shot Toffoli gate for three nearest-neighbor-coupled superconducting transmon systems such that the fidelity is 99.9% and is as fast as an entangling two-qubit gate under the same realistic conditions. The gate is achieved by a non-greedy quantum control procedure using our enhanced version of the Differential Evolution algorithm.
arXiv comment6 pages, 3 figures. Accepted for publication in Phys. Rev. Lett
References in corpus (20)
- Experimental realization of Shor's quantum factoring algorithm using nuclear magnetic resonance
- Logic gates at the surface code threshold: Superconducting qubits poised for fault-tolerant quantum computing
- A Theory of Fault-Tolerant Quantum Computation
- Simple pulses for elimination of leakage in weakly nonlinear qubits
- Realization of Three-Qubit Quantum Error Correction with Superconducting Circuits
- Qubit architecture with high coherence and fast tunable coupling
- Experimental Quantum Error Correction
- Implementation of a Toffoli Gate with Superconducting Circuits
- Realization of the quantum Toffoli gate with trapped ions
- Implementing a strand of a scalable fault-tolerant quantum computing fabric
- Optimal quantum control using randomized benchmarking
- Quantum Encodings in Spin Systems and Harmonic Oscillators
- Surface code with decoherence: An analysis of three superconducting architectures
- High-fidelity CZ gate for resonator-based superconducting quantum computers
- Evolutionary Algorithms for Hard Quantum Control
- Differential Evolution for Many-Particle Adaptive Quantum Metrology
- Optimized controlled Z gates for two superconducting qubits coupled through a resonator
- Kraus representation of damped harmonic oscillator and its application
- Quantum-control approach to realizing a Toffoli gate in circuit QED
- Resonator/zero-Qubit architecture for superconducting qubits
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- Learning Control of Quantum Systems
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- Second order phase dispersion by optimised rotation pulses
- Dissipative variational quantum algorithms for Gibbs state preparation
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- Optimal control of linear Gaussian quantum systems via quantum learning control
- Feasibility of single-shot realizations of conditional three-qubit gates in exchange-coupled qubit arrays with local control
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- Single-step high-fidelity three-qubit gates by anisotropic chiral interactions
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