qBraid hires Quantum Machine Learning Expert
We are excited to announce that Dr. Junyu Liu will be assuming the role of a quantum research scientist at qBraid. Dr. Liu is a world-class scientist in quantum computing and has worked in numerous areas of quantum information science. His work has interdisciplinary applications in optimization, machine learning, data science, big data, quantum computing, blockchains, computer science, and fundamental physics, from formal theoretical predictions, experimental simulations, and observations to commercial realizations.
At qBraid, Dr. Liu will work on quantum optimization, machine learning and other quantum chemistry applications. In collaboration with scientists from MIT, he is currently leading project on making smarter power grids using quantum computers. Dr. Liu and his colleagues exploring the use of quantum algorithms for state-of-the-art smart grid problems. They have been running simulations for the project on various quantum computers through qBraid and their early explorations shows a potential exponential quantum speedup using HHL algorithms for sparse matrix inversions in the power flow algorithms. The implementation of HHL algorithms in the near-term is limited by the quantum noise, the difficulty in realizing quantum random access memories (QRAM), and the depth of the required quantum circuits. The team has developed the software on qBraid for resources estimation that calculates the hardware and software requirements for a given instance of the problem in the fault-tolerant quantum computing regime. They are also exploring the use of near-term variational quntum algorithms for this problem. We plan to make their research available to our customers on qBraid soon.
To get early access to the software for the project on qBraid when it becomes available, signup on qBraid.com or reach out to us at contact@qbraid.com