paper / michaelhush / 29d ago
Strategic use of quantum error correction primitives, without full logical encoding, achieves state-of-the-art long-range CNOT gate fidelities over 85% across 40 superconducting qubits, outperforming measurement-based alternatives without extra ancillas. Sparse stabilizer measurements combined with error detection generate a record 75-qubit GHZ state using only 9 ancillas, with error discard fractions below 78%. This approach delivers net computational gains on current hardware by suppressing errors deterministically.
quantum-error-correctionghz-stateslong-range-entanglementsuperconducting-processorsqec-primitiveserror-detectionmultipartite-entanglement
“Novel GHZ-based protocol achieves long-range CNOT gate fidelities over 85% across up to 40 lattice sites”
paper / michaelhush / 29d ago
Quantum-assured magnetic anomaly navigation (MagNav) uses proprietary quantum magnetometers and novel denoising/map-matching algorithms to deliver position fixes by matching local magnetic measurements to known Earth crustal anomaly maps. In airborne trials up to 19,000 feet on fixed-wing drones and airliners, it achieves up to 46x better positioning error than velocity-aided strategic-grade INS, with best accuracy of 22m (0.006% flight distance) and consistent 11x advantage across conditions. Ground vehicle trials with public maps yield 7x lower bounded error than strapdown INS. The system adapts online to configuration changes without special maneuvers.
quantum-magnetometersmagnetic-navigationmagnavinertial-navigationquantum-sensingdrone-navigationfield-trials
“MagNav achieves up to 46x better positioning error than velocity-aided INS in airborne trials”
github_star / michaelhush / Apr 12
Repository for the QCHACK 2021 Hackathon.. Stars: 1
github_star / michaelhush / Apr 12
Q-CTRL QCHack Challenge fizziqs entry. Stars: 1
github_star / michaelhush / Apr 12
Challenge submission for QCHack 2021 Q-CTRL Challenge. Stars: 2
github_star / michaelhush / Apr 12
Q-CTRL QCHack Challenge "Hostages of the Entangled Dungeons" entry. Stars: 1
github_star / michaelhush / Apr 12
Q-CTRL QCHack Challenge HASAA entry. Stars: 5
github_star / michaelhush / Apr 12
Lightweight library to build and train neural networks in Theano. Stars: 3865
github_star / michaelhush / Apr 12
Caffe: a fast open framework for deep learning.. Stars: 34653
github_star / michaelhush / Apr 12
M-LOOP: Machine-learning online optimization package. Stars: 175
github_star / michaelhush / Apr 12
🎛 Q-CTRL Open Controls. Stars: 116
github_star / michaelhush / Apr 12
The fundamental package for scientific computing with Python.. Stars: 31835