Researchers tested IBM’s Nighthawk quantum processor with two applied tasks: a simplified particle physics model and filtering malicious traffic. The experiments were highlighted in the Quantum Computing Report.
In the first task, the team aimed to calculate a physical problem on the hardware, specifically the interaction between a nucleon and an antinucleon in a simplified quantum chromodynamics model (QCD2). They mapped the system onto a spin chain and ran it on Nighthawk. The resulting interaction potential showed the expected attraction and matched classical verification results, including exact diagonalization and ideal simulation. The authors emphasized extracting useful signals from noisy data through structural error compensation.
The second task focused on cybersecurity, aiming to separate malicious DoS and DDoS traffic from normal traffic without disrupting legitimate connections. Researchers used logs from a honeypot system and transformed the task into a graph optimization problem solved using the Quantum Approximate Optimization Algorithm (QAOA).
Experiments involved graphs with 16, 32, 66, and 110 events. The largest graph, with 110 nodes and 181 edges, was tested on three IBM backends from the IBM Quantum Network. According to the Quantum Computing Report, Nighthawk required the fewest two-qubit operations and had the lowest compilation overhead, while the Heron-based processor achieved the best target metric.
The authors of both studies do not claim quantum advantage. They present the results as an applied benchmark to assess the suitability of such systems for tasks requiring both computational accuracy and noise resilience.
In June, IBM researchers announced a new approach to finding quantum error correction codes using large language models.
