Exploring Quantum Technologies in Fundamental Science: A Breakthrough in Jet Clustering (IMAGE)
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IMAGE: THE APPLICATION OF THE QUANTUM APPROXIMATE OPTIMIZATION ALGORITHM (QAOA) TO JET CLUSTERING. (A) ELECTRON-POSITRON COLLISIONS: WHEN ELECTRONS AND POSITRONS COLLIDE, THE RESULTING QUARKS AND GLUONS UNDERGO HADRONIZATION, FORMING COLLIMATED STREAMS OF PARTICLES KNOWN AS JETS. (B) GRAPH REPRESENTATION OF COLLISION EVENTS: EACH COLLISION EVENT CAN BE MAPPED ONTO A GRAPH, WHERE THE NODES REPRESENT PARTICLES, AND THE EDGES ENCODE THEIR KINEMATIC RELATIONSHIPS. (C) QAOA FOR JET CLUSTERING: JET CLUSTERING IS ANALOGOUS TO SOLVING A MAX-CUT PROBLEM, MAKING QAOA A SUITABLE ALGORITHM TO OPTIMIZE THIS PROCESS. (D) QUANTUM CIRCUIT COMPILATION: THE QAOA QUANTUM CIRCUIT IS DESIGNED AND COMPILED TO MATCH THE TOPOLOGY OF SUPERCONDUCTING QUBITS AND THE SET OF AVAILABLE QUANTUM GATES ON THE QUANTUM PROCESSOR. (E) PERFORMANCE EVALUATION: THE PERFORMANCE OF QAOA-BASED JET CLUSTERING IS ASSESSED USING THE ANGULAR DISTANCE BETWEEN THE RECONSTRUCTED JET AND THE CORRESPONDING QUARK, SERVING AS THE EVALUATION METRIC.
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