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Rigetti Researchers Demonstrate Qubit-Efficient Optimization Algorithm on Superconducting ...

Published

14 September 2026

Topic

opportunities

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Quantum Computing

Geography

United States

Source

Read at quantumcomputingreport.com

Verified

Fusion42 · 14 September 2026 · Fusion42 review

Rigetti Computing has experimentally demonstrated a qubit-efficient quantum optimization algorithm that reduces the required physical qubits for large-scale combinatorial problems. The algorithm achieved near-standard solution quality on a 9-qubit superconducting processor and enables a tunable tradeoff between qubit count and circuit depth, supported by DARPA and U.S. Department of Energy resources.

This Wire brief sits within Fusion42's coverage of Quantum Computing.

◆ The Wire takeaway

Quantum computing founders should cut reliance on qubit-heavy models this week as Rigetti’s new algorithm lets you solve bigger problems with fewer qubits. The sharper tradeoff between qubit count and circuit depth opens a faster route to scaling near-term quantum devices.

Coverage

1 source · 14 Sep 2026

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Quantum Computingquantum-optimizationqubit-efficiencysuperconducting-qpurigetti-computingdarpaquantum-algorithms