Quantum versus classical modeling of pure dephasing in Deutsch's algorithm produces identical single-run outcomes but stark differences on repeated runs, reproduced on IBM processors and showing complex behavior in NV centers.
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AL-QHD benchmarks on nonconvex test functions and ACOPF power problems show useful accuracy at fixed qubit cost but require roughly 10^8 T gates for realistic instances.
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Signatures of quantum noise in the operation of Deutsch's algorithm
Quantum versus classical modeling of pure dephasing in Deutsch's algorithm produces identical single-run outcomes but stark differences on repeated runs, reproduced on IBM processors and showing complex behavior in NV centers.
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Benchmarking and Resource Analysis for Augmented-Lagrangian Quantum Hamiltonian Descent
AL-QHD benchmarks on nonconvex test functions and ACOPF power problems show useful accuracy at fixed qubit cost but require roughly 10^8 T gates for realistic instances.