DARPA challenges : describe limits of quantum computing and apply QC to improve machine learning | NextBigFuture.com

DARPA Defense Sciences Office (DSO) is seeking information on new capabilities that could be enabled by current and next-generation quantum computers for understanding complex physical systems, improving artificial intelligence (AI) and machine learning (ML), and enhancing distributed sensing. The field of Quantum Computing (QC) has seen considerable progress in recent years, both in the number of qubits that can be physically realized, and in the formulation of new quantum search and optimization algorithms. However, numerous challenges remain to be solved to usefully employ QC to solve real-world problems. These include challenges of scale, environmental interactions, input/output, qubit connectivity, quantum memory