ibm_kingston
A superconducting quantum computer available on the IBM quantum computing cloud platform, used to execute quantum circuit experiments. It provides remote access to hardware for running and benchmarking quantum algorithms, including quantum classifier circuits and other circuit-based machine learning experiments.
Timeline (last 90 days)
On IBM's ibm_kingston quantum device, reading only the attention overlap portion via a Hadamard test, the device gave answers consistent with the model on two short test pairs, and its behavior of keeping or changing answers under deletion also matched the model.
On IBM's ibm_kingston quantum computer, classification accuracy on 300 Caltech-10 test images is 37.7% versus 10% for random guessing; the same configuration reaches 56.3% in exact simulation.
For ten images classified correctly and with high confidence, the 2x2 evidence maps estimated on the ibm_kingston chip agree with the exact results, with a correlation coefficient of r=0.77.
All Facts (3)
On IBM's ibm_kingston quantum computer, classification accuracy on 300 Caltech-10 test images is 37.7% versus 10% for random guessing; the same configuration reaches 56.3% in exact simulation.
50%UnverifiedFor ten images classified correctly and with high confidence, the 2x2 evidence maps estimated on the ibm_kingston chip agree with the exact results, with a correlation coefficient of r=0.77.
50%UnverifiedOn IBM's ibm_kingston quantum device, reading only the attention overlap portion via a Hadamard test, the device gave answers consistent with the model on two short test pairs, and its behavior of keeping or changing answers under deletion also matched the model.
50%