The biplanar architecture maps Fermi-Hubbard spin sectors to two planes, eliminating swaps and cutting each Trotter step depth to 4t_synth + 90 logical timesteps versus 6t_synth + 354 in single-plane methods, yielding an estimated 2-hour runtime for L=8 with 1.35 million physical qubits under a 1% 1
Quantifying fault tolerant simulation of strongly correlated systems using the fermi-hubbard model,
3 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
fields
quant-ph 3roles
background 1polarities
background 1representative citing papers
A comprehensive review of scaling paths for superconducting quantum computers, with resource and sensitivity analyses for utility-scale applications under realistic error distributions.
NMR spectral simulations in zero/ultralow fields for small molecules and proteins are identified as promising applications for fault-tolerant quantum computation via qubitized dynamics circuits.
citing papers explorer
-
Two Layers, No Swaps: Biplanar SPOQC Architecture Improves Runtime of Fermi-Hubbard Simulation
The biplanar architecture maps Fermi-Hubbard spin sectors to two planes, eliminating swaps and cutting each Trotter step depth to 4t_synth + 90 logical timesteps versus 6t_synth + 354 in single-plane methods, yielding an estimated 2-hour runtime for L=8 with 1.35 million physical qubits under a 1% 1
-
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
A comprehensive review of scaling paths for superconducting quantum computers, with resource and sensitivity analyses for utility-scale applications under realistic error distributions.
-
Prospects for NMR Spectral Prediction on Fault-Tolerant Quantum Computers
NMR spectral simulations in zero/ultralow fields for small molecules and proteins are identified as promising applications for fault-tolerant quantum computation via qubitized dynamics circuits.