From the 1 of 7 linked papers with an AI index.
7 papers
Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor
Gavin S. Hartnett, Khadijeh Sona Najafi, Aleksei Khindanov +5
The paper demonstrates a digital quantum simulation of the one‑dimensional Fermi‑Hubbard model on a superconducting processor using up to 120 qubits, achieving high‑resolution dyna…
Simulating the dynamics of an SU(2) matrix model on a trapped-ion quantum computer
Gavin S. Hartnett, Haoran Liao, Enrico Rinaldi
Matrix models are an important class of systems in string theory and theoretical physics, with applications to random matrix theory, quantum chaos, and black holes. Hamiltonian Mon…
Achieving computational gains with quantum error-correction primitives: Generation of long-range entanglement enhanced by error detection
Haoran Liao, Gavin S. Hartnett, Ashish Kakkar +5
The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despit…
Machine Learning for Practical Quantum Error Mitigation
Haoran Liao, Derek S. Wang, Iskandar Sitdikov +3
Quantum computers progress toward outperforming classical supercomputers, but quantum errors remain their primary obstacle. The key to overcoming errors on near-term devices has em…
ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements
Neel R. Vora, Yilun Xu, Akel Hashim +11
Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, iden…
Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling
Alireza Seif, Haoran Liao, Vinay Tripathi +5
Coherent errors, and especially those that occur in correlation among a set of qubits, are detrimental for large-scale quantum computing. Correlations in noise can occur as a resul…