Quantum Art, a developer of full-stack fault-tolerant quantum computers using trapped-ion qubits, has announced research results verifying that its multi-qubit gate architecture supports scalable fault-tolerant quantum computing. The findings, detailed in a paper titled "Trapped-Ion Multi qubit Gates are Compatible with Scalable Quantum Error Correction," are available here.
The company constructed a realistic noise model for multi-qubit gates and analyzed its performance in scalable error correction codes. The results show a finite-threshold behavior at the 1% level using surface codes, which is suitable for scalable fault-tolerant quantum computing. Importantly, the simulation results showed that logical error correction continues to improve as the system scales, a key benchmark for fault-tolerant operation.
"The most important result is that multi-qubit gates, favorable candidates for large scale quantum computation schemes, are also fully compatible and advantageous for fault tolerant codes," said Dr. Amit Ben-Kish, CTO and co-founder of Quantum Art. "For years, the quantum computing industry has largely focused on fault-tolerant systems built from vast numbers of sequential one- and two-qubit operations, leaving open questions about whether large multi-qubit gates could support the same path. Our analysis shows that the errors remain local and controlled, and that a practical threshold exists."
Quantum Art's multi-qubit gate architecture offers significant advantages in computational efficiency, circuit compression, system scalability, and overall hardware footprint. The findings show that while all-to-all connected multi-qubit gates enable circuit depth compression and reduced computational overhead by orders of magnitude, error propagation remains small and controlled, bound by the gate's connectivity mapping.
The milestone validates Quantum Art's roadmap toward large-scale fault-tolerant systems, including its planned Perspective platform, a 1,000-qubit multi-core quantum computer designed to support commercially relevant quantum applications with 10s-100 logical qubits, as well as the next-generation Landscape series supporting 1000s logical qubits. The research was conducted by O. Grossman, Y. Kadish, S. Gazit, A. Ben-Kish, R. Ozeri, and Y. Shapira.
