Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.
UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...
Abstract: As the complexity of standard cell library design increases, automated placement of CMOS standard cells becomes essential for shortening design cycles and reducing costs. This paper presents ...
IBM achieves record 120-qubit entanglement, marking a leap toward quantum systems that could one day challenge Bitcoin’s ...
IBM scientists entangled 120 qubits in a single coherent “cat state,” a record-breaking feat in quantum computing.
The new program is validated in a set of clinical pedigrees demonstrating its practical accuracy and relevance to the field. Collectively, the data are compelling and support the major conclusions of ...
IBM’s new 120-qubit experiment marks a leap forward, advancing technology that could one day crack Bitcoin’s encryption.
A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...
Researchers have developed a method to calculate whether someone's brain is aging faster or slower than their chronological ...