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5 papers · 2 filters
Revisiting dequantization and quantum advantage in learning tasks
Jordan Cotler, Hsin-Yuan Huang, Jarrod R. McClean
It has been shown that the apparent advantage of some quantum machine learning algorithms may be efficiently replicated using classical algorithms with suitable data access -- a pr…
Large scale multi-node simulations of gauge theory quantum circuits using Google Cloud Platform
Erik Gustafson, Burt Holzman, James Kowalkowski +12
Simulating quantum field theories on a quantum computer is one of the most exciting fundamental physics applications of quantum information science. Dynamical time evolution of qua…
What the foundations of quantum computer science teach us about chemistry
Jarrod R. McClean, Nicholas C. Rubin, Joonho Lee +5
With the rapid development of quantum technology, one of the leading applications is the simulation of chemistry. Interestingly, even before full scale quantum computers are availa…
Quantum circuit optimization with deep reinforcement learning
Thomas Fösel, Murphy Yuezhen Niu, Florian Marquardt +1
A central aspect for operating future quantum computers is quantum circuit optimization, i.e., the search for efficient realizations of quantum algorithms given the device capabili…
Removing leakage-induced correlated errors in superconducting quantum error correction
M. McEwen, D. Kafri, Z. Chen +48
Quantum computing can become scalable through error correction, but logical error rates only decrease with system size when physical errors are sufficiently uncorrelated. During co…