Improving the gate fidelity of capacitively coupled spin qubits

Abstract

Capacitively coupled semiconductor spin qubits hold promise as the building blocks of a scalable quantum computing architecture with long-range coupling between distant qubits. However, the two-qubit gate fidelities achieved in experiments to date have been severely limited by decoherence originating from charge noise and hyperfine interactions with nuclear spins, and are currently unacceptably low for any conceivable multi-qubit gate operations. Here, we present control protocols that implement two-qubit entangling gates while substantially suppressing errors due to both types of noise. These protocols are obtained by making simple modifications to control sequences already used in the laboratory and should thus be easy enough for immediate experimental realization. Together with existing control protocols for robust single-qubit gates, our results constitute an important step toward scalable quantum computation using spin qubits in semiconductor platforms.

9+ pages, 4 figures. To be published in npj Quantum Information

References in corpus (13)

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• Arbitrarily accurate composite pulses
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Cited by in corpus (18)

• Neural-network-designed pulse sequences for robust control of singlet-triplet qubits
• Geometrical Formalism for Dynamically Corrected Gates in Multiqubit Systems
• Crosstalk error correction through dynamical decoupling of single-qubit gates in capacitively coupled singlet-triplet semiconductor spin qubits
• Deep reinforcement learning for universal quantum state preparation via dynamic pulse control
• Dynamically Correcting a CNOT Gate for any Systematic Logical Error
• Noise filtering of composite pulses for singlet-triplet qubits
• Suppression of charge noise using barrier control of a singlet-triplet qubit
• Error correction for gate operations in systems of exchange-coupled singlet-triplet qubits in double quantum dots
• Dynamics of two coupled semiconductor spin qubits in a noisy environment
• Conditions allowing error correction in driven qubits
• Decoherence of two coupled singlet-triplet spin qubits
• Enhanced quantum state preparation via stochastic prediction of neural network
• Benchmarking of dynamically corrected gates for the exchange-only spin qubit in $1/f$ noise environment
• Experimental pairwise entanglement estimation for an N-qubit system :A machine learning approach for programming quantum hardware
• High-fidelity two-qubit gates via dynamical decoupling of local 1/f noise at optimal point
• Energy spectrum, exchange interaction and gate crosstalk in a pair of double-quantum-dot system: a molecular orbital calculation
• Partial randomized benchmarking
• Multipartite entangling power by von Neumann entropy