8.6k citations · 32.4k across the 110 of their papers we have counts for
110 papers
Beyond NISQ: The Megaquop Machine
John Preskill
Today's Noisy Intermediate-Scale Quantum (NISQ) computers have scientific value, but quantum machines with broad practical value must be protected against noise using quantum error…
Quantum learning advantage on a scalable photonic platform
Zheng-Hao Liu, Romain Brunel, Emil E. B. Østergaard +12
Recent advancements in quantum technologies have opened new horizons for exploring the physical world in ways once deemed impossible. Central to these breakthroughs is the concept…
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…