400 citations · 400 across the 7 of their papers we have counts for
7 papers
Better Pauli Channel Learning with Maximum Likelihood Estimation
Daniel Belkin, Faisal Alam, Matthew Thibodeau +3
Error mitigation in a noisy quantum device requires a very good estimate of the noise channel. The accuracy of probabilistic error cancellation is often limited by the high sample…
Apparent Universal Behavior in Second Moments of Random Quantum Circuits
Daniel Belkin, James Allen, Bryan K. Clark
Just how fast does the brickwork circuit form an approximate 2-design? Is there any difference between anticoncentration and being a 2-design? Does geometry matter? How deep a circ…
Absence of censoring inequalities in random quantum circuits
Daniel Belkin, James Allen, Bryan K. Clark
Ref. 1 asked whether deleting gates from a random quantum circuit architecture can ever make the architecture a better approximate -design. We show that it can. In particular, w…
Conditional t-independent spectral gap for random quantum circuits and implications for t-design depths
James Allen, Daniel Belkin, Bryan K. Clark
A fundamental question is understanding the rate at which random quantum circuits converge to the Haar measure. One quantity which is important in establishing this rate is the spe…
Approximate t-designs in generic circuit architectures
Daniel Belkin, James Allen, Soumik Ghosh +6
Unitary t-designs are distributions on the unitary group whose first t moments appear maximally random. Previous work has established several upper bounds on the depths at which ce…
A Hybrid Nodal-Staggered Pseudo-Spectral Electromagnetic Particle-In-Cell Method with Finite-Order Centering
Edoardo Zoni, Remi Lehe, Olga Shapoval +5
Electromagnetic particle-in-cell (PIC) codes are widely used to perform computer simulations of a variety of physical systems, including fusion plasmas, astrophysical plasmas, plas…
Long short-term memory networks in memristor crossbars
Can Li, Zhongrui Wang, Mingyi Rao +14
Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence. State-of-the-art LSTM models w…