Decoupled descent enforces asymptotic tracking of test error by training error in Gaussian mixture models through bias cancellation via approximate message passing, enabling full data utilization.
Approxi- mate message passing for multi-layer estimation in rotationally invariant mod- els
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Experimental runs of Grover's algorithm on IBM Heron QPUs show higher success rates for 3-5 qubits than prior generations, with further gains from topological dynamical decoupling on 5- and 6-qubit cases.
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Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing
Decoupled descent enforces asymptotic tracking of test error by training error in Gaussian mixture models through bias cancellation via approximate message passing, enabling full data utilization.
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Improvement of performance of Grover's algorithm on three generations of Heron family IBM QPUs without and with topological dynamical decoupling
Experimental runs of Grover's algorithm on IBM Heron QPUs show higher success rates for 3-5 qubits than prior generations, with further gains from topological dynamical decoupling on 5- and 6-qubit cases.