From the 2 of 22 linked papers with an AI index.
13 citations · 19 across the 17 of their papers we have counts for
6 papers · 1 filter
Learning to erase quantum states: thermodynamic implications of quantum learning theory
Haimeng Zhao, Yuzhen Zhang, John Preskill
The energy cost of erasing quantum states depends on our knowledge of the states. We show that learning algorithms can acquire such knowledge to erase many copies of an unknown sta…
Simple and efficient end-to-end quantum thermal and ground state preparation
Zhiyan Ding, Yongtao Zhan, John Preskill +1
Quantum computing algorithms for many-body physics, chemistry and materials science typically require the preparation of thermal or ground states for a given Hamiltonian. We propos…
Observable and computable entanglement in time
Alexey Milekhin, Zofia Adamska, John Preskill
We propose a novel family of entanglement measures for time-separated subsystems. Our definitions are applicable to any quantum system, continuous or discrete. To illustrate their…
Digital quantum simulations of scattering in quantum field theories using W states
Roland C. Farrell, Nikita A. Zemlevskiy, Marc Illa +1
High-energy particle collisions can convert energy into matter through the inelastic production of new particles. Quantum computers are an ideal platform for simulating the out-of-…
Batched high-rate logical operations for quantum LDPC codes
Qian Xu, Hengyun Zhou, Dolev Bluvstein +5
High-rate quantum LDPC (qLDPC) codes reduce memory overhead by densely packing many logical qubits into a single block of physical qubits. Here we extend this concept to high-rate…
The vast world of quantum advantage
Hsin-Yuan Huang, Soonwon Choi, Jarrod R. McClean +1
The quest to identify quantum advantages lies at the heart of quantum technology. While quantum devices promise extraordinary capabilities, from exponential computational speedups…