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This research demonstrates a viable path to solving particle reconstruction at the HL-LHC by reformulating matrix inversion into binary ground-state filtering, offering an asymptotic speedup over classical and standard quantum methods. Validated on current NISQ-era hardware like Quantinuum's trapped-ion systems and IBM Heron superconducting processors, this approach addresses critical scalability hurdles in high-energy physics data analysis.

Sources coveringQuantum Zeitgeist, Quantum Computing Report

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1-bit quantum filter cuts complexity of particle tracking

Quantum ZeitgeistAugust 5, 20262 min read

The transition to the High-Luminosity Large Hadron Collider (HL-LHC) presents a computational challenge, as particle reconstruction complexity may outpace classical computing resources. A 1-bit quantum filter reformulates tracking from matrix inversion to binary ground-state filtering, achieving an asymptotic gate complexity of \({{\mathscr{O}}}(\sqrt{N}\log N)\) given Hamiltonian dimension N.

The impending transition to the High-Luminosity Large Hadron Collider (HL-LHC) is creating a computational bottleneck where particle reconstruction complexity threatens to overwhelm classical resources. Researchers at Nikhef National Institute for Subatomic Physics and Maastricht University have…

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