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34 papers · 2 filters
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor
Maida Wang, Jinyang Jiang, Peter V. Coveney
Quantum machine learning has gained attention for its potential to address computational challenges. However, whether those algorithms can effectively solve practical problems and…
Assessing fault-tolerant quantum advantage for -SAT with structure
Martijn Brehm, Jordi Weggemans
For many problems, quantum algorithms promise speedups over their classical counterparts. However, these results predominantly rely on asymptotic worst-case analysis, which overloo…
Optimal estimates of trace distance between bosonic Gaussian states and applications to learning
Lennart Bittel, Francesco Anna Mele, Antonio Anna Mele +2
Gaussian states of bosonic quantum systems enjoy numerous technological applications and are ubiquitous in nature. Their significance lies in their simplicity, which in turn rests…
Transition Path and Interface Sampling of Stochastic Schrödinger Dynamics
Robson Christie, Peter G. Bolhuis, David T. Limmer
We study rare transitions in Markovian open quantum systems driven with Gaussian noise, applying transition path and interface sampling methods to trajectories generated by stochas…
Superluminal signalling witness for quantum state reduction
Aritro Mukherjee, Lisa Lenstra, Lotte Mertens +1
Models for quantum state reduction address the quantum measurement problem by suggesting weak modifications to Schrödinger's equation that have no observable effect at microscopic…
Equivariant Machine Learning Decoder for 3D Toric Codes
Oliver Weissl, Evgenii Egorov
Mitigating errors in computing and communication systems has seen a great deal of research since the beginning of the widespread use of these technologies. However, as we develop n…