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Approximate Boltzmann Distributions in Quantum Approximate Optimization
Phillip C. Lotshaw, George Siopsis, James Ostrowski +4
Approaches to compute or estimate the output probability distributions from the quantum approximate optimization algorithm (QAOA) are needed to assess the likelihood it will obtain…
The Future of High Energy Physics Software and Computing
V. Daniel Elvira, Steven Gottlieb, Oliver Gutsche +25
Software and Computing (S&C) are essential to all High Energy Physics (HEP) experiments and many theoretical studies. The size and complexity of S&C are now commensurate with that…
Modelling noise in global Molmer-Sorensen interactions applied to quantum approximate optimization
Phillip C. Lotshaw, Kevin D. Battles, Bryan Gard +3
Many-qubit Mølmer-Sørensen (MS) interactions applied to trapped ions offer unique capabilities for quantum information processing, with applications including quantum simulation an…
Adaptive channel estimation for mitigating circuits executed on noisy quantum devices
Samudra Dasgupta, Travis S. Humble
Conventional computers have evolved to device components that demonstrate failure rates of 1e-17 or less, while current quantum computing devices typically exhibit error rates of 1…
Dimensionality reduction with variational encoders based on subsystem purification
Raja Selvarajan, Manas Sajjan, Travis S. Humble +1
Efficient methods for encoding and compression are likely to pave way towards the problem of efficient trainability on higher dimensional Hilbert spaces overcoming issues of barren…
Assessing the Stability of Noisy Quantum Computation
Samudra Dasgupta, Travis S. Humble
Quantum computation has made considerable progress in the last decade with multiple emerging technologies providing proof-of-principle experimental demonstrations of such calculati…