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21 papers · 2 filters
Tomography and Generative Data Modeling via Quantum Boltzmann Training
Maria Kieferova, Nathan Wiebe
The promise of quantum neural nets, which utilize quantum effects to model complex data sets, has made their development an aspirational goal for quantum machine learning and quant…
Adaptive estimation of a time-varying phase with a power-law spectrum via continuous squeezed states
Hossein T. Dinani, Dominic W. Berry
When measuring a time-varying phase, the standard quantum limit and Heisenberg limit as usually defined, for a constant phase, do not apply. If the phase has Gaussian statistics an…
Improved Hamiltonian simulation via a truncated Taylor series and corrections
Leonardo Novo, Dominic W. Berry
We describe an improved version of the quantum simulation method based on the implementation of a truncated Taylor series of the evolution operator. The idea is to add an extra ste…
Quantum control of photonic entanglement with a single sub-wavelength structure
Alexander Büse, Mathieu L. Juan, Nora Tischler +4
Quantum entanglement is the basic resource for most quantum information schemes. A fundamental problem of using photonic states as carriers of quantum information is that they inte…
Squeezing giant spin states via geometric phase control in cavity-assisted Raman transitions
Keyu Xia
Squeezing ensemble of spins provides a way to surpass the standard quantum limit (SQL) in quantum metrology and test the fundamental physics as well, and therefore attracts broad i…
Linear optical quantum metrology with single photons --- Experimental errors, resource counting, and quantum Cramér-Rao bounds
Jonathan P. Olson, Keith R. Motes, Patrick M. Birchall +5
Quantum number-path entanglement is a resource for super-sensitive quantum metrology and in particular provides for sub-shotnoise or even Heisenberg-limited sensitivity. However, s…