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New QMaxCal method enhances quantum control by minimizing decoherence effects

Researchers have developed a new method called QMaxCal for open quantum control, which uses Girsanov's theorem to regularize path-space. This approach aims to minimize the effects of decoherence by penalizing observable consequences of control on decoherence channels, rather than control amplitude. The QMaxCal regularizers, including Wiener KL and drift-variance regularizers, have demonstrated superior performance over baseline methods in various open quantum systems, achieving up to a 50% reduction in infidelity and significant gains on a calibrated IBM Kingston processor. AI

IMPACT This research could lead to more reliable and robust quantum computing systems by improving control over quantum states.

RANK_REASON The cluster contains a research paper detailing a new method for quantum control. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.LG →

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New QMaxCal method enhances quantum control by minimizing decoherence effects

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The cluster contains a research paper detailing a new method for quantum control. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Merijn Moody, Zier Mensch, Miranda C. N. Cheng, Peter G. Bolhuis, Max Welling ·

    QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem

    arXiv:2606.19947v1 Announce Type: cross Abstract: Reliable quantum control in the presence of decoherence requires policies that combat the effect of environmental noise on the controlled dynamics. Open quantum systems under continuous monitoring generate classical measurement re…

  2. arXiv cs.LG TIER_1 English(EN) · Max Welling ·

    QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem

    Reliable quantum control in the presence of decoherence requires policies that combat the effect of environmental noise on the controlled dynamics. Open quantum systems under continuous monitoring generate classical measurement records whose drift depends on the noise experienced…