IBM Quantum Nighthawk Demonstrates New Levels of Speed and Quality

IBM’s Nighthawk program aims to make quantum computing useful for demanding workloads by combining computational quality with enough speed to gather the millions or billions of samples some applications require. The current Nighthawk r2 delivers up to 100,000 samples per second and supports accurate calculations involving more than 7,500 quantum operations on 120 qubits. IBM says clients and partners have run over 34 billion circuits on it, reporting improvements of up to 19 times over earlier IBM processors. Examples include a 15-fold speedup in E.ON’s energy-grid optimization work and a 12-fold improvement in an IBM-Oak Ridge National Laboratory magnetic-materials simulation. An Algorithmiq material simulation ran eight times faster than on Heron and was estimated to require 240 times more memory for comparable classical simulation.

The planned Nighthawk r3 is designed for 10,000 operations across 520 programmable qubits, with chip-to-chip links intended to support modular scaling. IBM plans to connect two r3 processors in 2027 to form a 1,040-qubit system. The company also presented progress on the links and cryogenic infrastructure needed to build such systems. Alongside hardware, IBM is bringing quantum and classical computing into one managed platform, supporting error mitigation, correction, and large-scale workflow processing. IBM and RIKEN, for example, ran an existing workflow about five times faster while performing 100 times more computations; Cleveland Clinic and RIKEN processed 608 million samples 33 times faster through automation.