8.6k citations · 32.4k across the 110 of their papers we have counts for
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When can classical neural networks represent quantum states?
Tai-Hsuan Yang, Mehdi Soleimanifar, Thiago Bergamaschi +1
A naive classical representation of an n-qubit state requires specifying exponentially many amplitudes in the computational basis. Past works have demonstrated that classical neura…
Predicting adaptively chosen observables in quantum systems
Jerry Huang, Laura Lewis, Hsin-Yuan Huang +1
Recent advances have demonstrated that measurements suffice to predict properties of arbitrarily large quantum many-body systems. However, these remarkabl…
Learning -body Hamiltonians via compressed sensing
Muzhou Ma, Steven T. Flammia, John Preskill +1
We study the problem of learning a -body Hamiltonian with unknown Pauli terms that are not necessarily geometrically local. We propose a protocol that learns the Hamiltonian…
Optimal Conversion from Classical to Quantum Randomness via Quantum Chaos
Wai-Keong Mok, Tobias Haug, Adam L. Shaw +2
Quantum many-body systems provide a unique platform for exploring the rich interplay between chaos, randomness, and complexity. In a recently proposed paradigm known as deep therma…
Hardware-efficient quantum error correction via concatenated bosonic qubits
Harald Putterman, Kyungjoo Noh, Connor T. Hann +118
In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many…
Error correction for encoded quantum annealing revisited
Yoshihiro Nambu
F. Pastawski and J. Preskill discussed error correction of quantum annealing (QA) based on a parity-encoded spin system, known as the Sourlas-Lechner-Hauke-Zoller (SLHZ) system. Th…