1.1k citations · 7.6k across the 58 of their papers we have counts for
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Dynamics of magnetization at infinite temperature in a Heisenberg spin chain
Eliott Rosenberg, Trond Andersen, Rhine Samajdar +178
Understanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the 1D Heisenberg model were conjectured…
On quantum backpropagation, information reuse, and cheating measurement collapse
Amira Abbas, Robbie King, Hsin-Yuan Huang +4
The success of modern deep learning hinges on the ability to train neural networks at scale. Through clever reuse of intermediate information, backpropagation facilitates training…
Accelerating Quantum Algorithms with Precomputation
William J. Huggins, Jarrod R. McClean
Real-world applications of computing can be extremely time-sensitive. It would be valuable if we could accelerate such tasks by performing some of the work ahead of time. Motivated…
Stable Quantum-Correlated Many Body States through Engineered Dissipation
X. Mi, A. A. Michailidis, S. Shabani +164
Engineered dissipative reservoirs have the potential to steer many-body quantum systems toward correlated steady states useful for quantum simulation of high-temperature supercondu…
Phase transition in Random Circuit Sampling
A. Morvan, B. Villalonga, X. Mi +182
Undesired coupling to the surrounding environment destroys long-range correlations on quantum processors and hinders the coherent evolution in the nominally available computational…
Measurement-induced entanglement and teleportation on a noisy quantum processor
Jesse C. Hoke, Matteo Ippoliti, Eliott Rosenberg +160
Measurement has a special role in quantum theory: by collapsing the wavefunction it can enable phenomena such as teleportation and thereby alter the "arrow of time" that constrains…
Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods
Ryan Babbush, William J. Huggins, Dominic W. Berry +6
Quantum algorithms for simulating electronic ground states are slower than popular classical mean-field algorithms such as Hartree-Fock and density functional theory, but offer hig…