Hardware

IBM Debuts Nighthawk r2 to Advance Quantum Error Correction

IBM has released its Quantum Nighthawk r2 platform alongside new Qiskit tools to help researchers bridge the gap between quantum error mitigation and full fault-tolerant computing.

IBM Research AI1 day agoHardware
Image: IBM Research AI

IBM has launched the IBM Quantum Nighthawk r2, a hardware platform designed to help researchers experiment with quantum error correction and mitigation. The release serves as a stepping stone toward the company's ultimate goal of building its first fully fault-tolerant quantum computer, IBM Quantum Starling. By blending mitigation and correction techniques, IBM aims to help developers run larger, more complex circuits on current systems without waiting for perfect hardware.

Recent experiments highlight the viability of these hybrid methods. For instance, researchers successfully mapped 64 logical qubits onto 76 physical qubits using spacetime codes. By incorporating 314 T gates, the system achieved a 10x effective gate error rate improvement after post-selection on a challenging circuit containing 2,336 CZ gates. This test maintained a minimum fidelity of 0.349 with 95 percent confidence. Additionally, integrating post-selected error correction with probabilistic error cancellation cut the inferred sampling overhead by 63x compared to using mitigation alone.

For quantum practitioners, these advancements shift the focus from raw qubit counts to the actual size and complexity of the circuits they can execute. Using the open-source Qiskit Paulice toolkit alongside IBM's directed execution model, developers can now design custom noise-learning protocols and modular mitigation strategies. The platform also supports dynamic circuits, which merge real-time classical processing with mid-circuit measurements to apply corrective actions on the fly.

Looking further ahead, IBM is planning hierarchical architectures that stack algebraic codes, such as quantum Reed-Solomon codes, on top of quantum low-density parity-check (qLDPC) codes. This design is projected to scale systems to 10^12 logical operations with a physical error rate of 10^-3, significantly easing the hardware engineering demands required to run trillions of operations.

This is our own summary of reporting by IBM Research AI

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