Towards a silicon-based quantum computer
Quantum computing with its unique ability to process superposed states within a limited number of qubits shall provide exponential acceleration to a wide variety of applications unsolvable by classical computing. Noisy Intermediate Scale Quantum computers (NISQ) exist whose practical applications are yet to be demonstrated due to the remaining errors in the qubits, but the road to universal Large-Scale Quantum computing (LSQ) remains paved with technological challenges. This presentation will introduce the current strategies investigated by CEA and its partners to address the scalability and error-correction challenges ahead.
Tanguy Sassolas is high-performance and quantum computing program manager at CEA LIST. He received a M.Sc. and a M.Eng. in Electronics from ENSEEIHT, Toulouse in 2008 with a specialty in computing architecture.
Since then his architectural work focused on the design of manycore architectures. In particular, he was deeply involved in the conception of the SESAM multiprocessor architecture simulation and exploration environment. To address the design of hardware support for efficient performance, power and thermal management, he conceived novel methods for joint functional/thermal co-simulation and co-emulation. To cope with simulation performance bottlenecks of VP simulation he investigated parallelization strategies leading to the definition of the SCale parallel SystemC kernel.
He lead CEA’s EDA and Architecture Lab that performed the virtual prototyping and exploration of the European Processor Initiative, designed the embedded neural network processor PNeuro and developed a formal framework for the analysis of processor temporal behavior for both safety and security.
Today, he is strongly involved in the development of major research programs to address the corrective control of imperfect qubits at scale.
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