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D-Wave Demonstrates High-Fidelity Two-Qubit Entangling Gate for Dual-Rail Qubits

D-Wave Quantum has demonstrated a two-qubit entangling gate for superconducting dual-rail qubits. The team achieved approximately 99.9% fidelity with a gate time of about 500 nanoseconds, while preserving properties suitable for hardware-level error detection during two-qubit operations. The research was published in the peer-reviewed journal Nature.

Release summary

The published paper, “An entangling gate for dual-rail erasure qubits,” is a study aimed at reducing the hardware burden of quantum error correction required for fault-tolerant gate-based quantum computing. The dual-rail configuration features an error hierarchy that makes frequently occurring quantum errors easier to detect and correct, and in this experiment that property was maintained during two-qubit operations. Simulations by D-Wave indicated the possibility of a “Lambda 10” regime in which the logical error rate could be reduced by up to an order of magnitude (a factor of 10) with each layer of additional error correction. The company says it has already integrated this gate into its gate-model system and achieved comparable performance. This result is positioned on D-Wave’s development roadmap toward delivering a system capable of executing over one million operations on 100 logical qubits by 2032. However, the company did not disclose the number of physical qubits or the overall logical error rate that would be required at practical scale.

Key points

  • Paper in Nature reports a two-qubit entangling gate for dual-rail qubits
  • Demonstrated about 99.9% fidelity and a gate time of roughly 500 ns for two-qubit operations
  • Maintained an error hierarchy suitable for hardware-level error detection during two-qubit operations
  • D-Wave’s simulations showed the potential to reduce logical error rates by up to a factor of 10 with each additional layer of error correction (Lambda 10)
  • The company is targeting 100 logical qubits and over one million operations by 2032

Technical and business implications

Technically, the work is significant because it demonstrates the potential to combine fast control of superconducting qubits with high-fidelity two-qubit operations while enabling hardware-level error detection. If Lambda 10 holds up in larger systems, it could reduce the number of physical qubits and the burden on classical control systems required for fault-tolerant quantum computing. From a business perspective, the result provides a technical foundation for D-Wave’s pursuit of a gate-model approach in addition to its annealing technology. That said, Lambda 10 is a projection based on simulation and does not guarantee performance or timelines for commercial-scale systems.

What to watch next

The next critical question is whether the company can maintain roughly 99.9% fidelity and the advantages of error detection when scaling to devices with more qubits, and whether it can demonstrate logical error reductions approaching Lambda 10. It will also be important to see detailed data on the number of physical qubits required per logical qubit, detection misses, loss rates as qubit counts increase, crosstalk, and overall logical error rates. As D-Wave pursues its 2032 goal, intermediate-scale device results showing progress toward 100 logical qubits and over one million operations will be important milestones to evaluate.

✍️ Quantum Index Analysis

D-Wave’s reported 99.9% is certainly eye-catching. However, that figure is not an unconditional success rate that includes all errors. The result reflects detecting and removing about 0.5% loss errors per gate, after which the remaining errors were reduced to roughly 0.1%.

Even so, this research should not be dismissed as merely “99.9% with post-selection.” In quantum error correction, being able to identify where errors occur is often more important than eliminating them entirely. The real achievement here is not the attractive 99.9% headline, but that they realized a two-qubit gate while keeping errors that are easy to detect as the dominant error mode.

It is also more accurate to view this result not as a natural evolution of D-Wave’s annealing technology but as primarily deriving from the technical成果 of Quantum Circuits, which D-Wave acquired in January 2026. The paper was submitted prior to the acquisition, and dual-rail qubits had been developed over many years by Quantum Circuits and Yale University. What D-Wave has acquired is not a finished product, but a strong engine to enter the gate-model competition.

Acquiring technology is good; the question is whether D-Wave can integrate the two-qubit results demonstrated in the lab with its strengths in fabrication, cryogenic control, and cloud operation. The 99.9% figure is not the finish line but a ticket to the race of scaling the acquired technology.

Finally, Lambda 10 is currently a simulation-based projection using noise models, not a measured value. To assess the 2032 target of 100 logical qubits, we need more than a single 99.9% number: we need measurements of loss rates, detection misses, crosstalk, and logical error rates as physical qubit counts increase. In the quantum industry, what matters is not how many 9s appear in a fidelity number, but how many qubits are required to sustain those 9s.

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