Rigetti Computing announced that it was awarded a Defense Advanced Research Projects Agency, DARPA project as part of the Imagining Practical Applications for a Quantum Tomorrow, IMPAQT, program to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems. Rigetti’s project, “Scheduling Problems with Efficient Encoding of Qubits,” SPEEQ, seeks to develop a novel and efficient encoding of optimization problems onto qubits, with the goal of enabling larger problems to be mapped to currently available NISQ-era quantum computers. The project will specifically address scheduling problems, which are among the best-known and most pervasive types of combinatorial optimization problems across numerous industries, as well as some of the most challenging to solve. “One of Rigetti’s main goals is to develop practical applications for quantum computing. Being selected to work on the DARPA IMPAQT program gives us the opportunity to go further with our algorithm research, in this case with optimization problems – a class of problems with a broad impact on society. Advancements in algorithms for hybrid quantum-classical quantum computing systems will be very important in reaching narrow quantum advantage,” says Dr. Subodh Kulkarni, Rigetti Chief Executive Officer.
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