Barry Sanders
Calgary
As seen in:
Nature,
Physics APS,
American Physical Society,
Physical Review B,
Daily Times Chronicle
Professor at the University of Calgary
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Artificial intelligence for representing and characterizing quantum systems
Abstract Efficient characterization of large-scale quantum systems, especially those produced by quantum analog simulators and megaquop quantum computers, poses a central challenge in quantum science owing to the exponential scaling of the Hilbert space with respect to system size. Recent advances in artificial intelligence (AI), with its aptitude for high-dimensional pattern recognition and function approximation, have emerged as a powerful tool to address this challenge.
Superconducting Quantum Computing Beyond 100 Qubits
March 3, 2025• Physics 18, 45 A new high-performance quantum processor boasts 105 superconducting qubits and rivals Google’s acclaimed Willow processor. In the quest for useful quantum computers, processors based on superconducting qubits are especially promising. These devices are both programmable and capable of error correction.
The success and failure of quantum computing start-ups - Nature Electronics
The potential value of quantum computing remains uncertain, which creates substantial risks for any quantum computing start-up. But the successes and failures seen so far in the quantum innovation ecosystem hold lessons for the field.
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